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You searched for subject:(Signal classification). Showing records 1 – 30 of 383 total matches.

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Virginia Tech

1. Ramkumar, Barathram. Automatic Modulation Classication and Blind Equalization for Cognitive Radios.

Degree: PhD, Electrical and Computer Engineering, 2011, Virginia Tech

 Cognitive Radio (CR) is an emerging wireless communications technology that addresses the inefficiency of current radio spectrum usage. CR also supports the evolution of existing… (more)

Subjects/Keywords: signal classification; blind equalization

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APA (6th Edition):

Ramkumar, B. (2011). Automatic Modulation Classication and Blind Equalization for Cognitive Radios. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/28666

Chicago Manual of Style (16th Edition):

Ramkumar, Barathram. “Automatic Modulation Classication and Blind Equalization for Cognitive Radios.” 2011. Doctoral Dissertation, Virginia Tech. Accessed June 18, 2019. http://hdl.handle.net/10919/28666.

MLA Handbook (7th Edition):

Ramkumar, Barathram. “Automatic Modulation Classication and Blind Equalization for Cognitive Radios.” 2011. Web. 18 Jun 2019.

Vancouver:

Ramkumar B. Automatic Modulation Classication and Blind Equalization for Cognitive Radios. [Internet] [Doctoral dissertation]. Virginia Tech; 2011. [cited 2019 Jun 18]. Available from: http://hdl.handle.net/10919/28666.

Council of Science Editors:

Ramkumar B. Automatic Modulation Classication and Blind Equalization for Cognitive Radios. [Doctoral Dissertation]. Virginia Tech; 2011. Available from: http://hdl.handle.net/10919/28666


Coventry University

2. Balasubramanian, R. K. Development of novel approaches for high resolution direction of arrival estimation techniques.

Degree: PhD, 2016, Coventry University

 This thesis presents the development of MUSIC algorithm based novel approaches for the estimation of Direction of Arrival (DOA) of electromagnetic sources. For the 2D-DOA… (more)

Subjects/Keywords: 621.382; Antenna arrays; Multiple signal classification

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APA (6th Edition):

Balasubramanian, R. K. (2016). Development of novel approaches for high resolution direction of arrival estimation techniques. (Doctoral Dissertation). Coventry University. Retrieved from http://curve.coventry.ac.uk/open/items/576a5aa1-32f8-4c01-99fa-a9023d7a1fc5/1 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.699444

Chicago Manual of Style (16th Edition):

Balasubramanian, R K. “Development of novel approaches for high resolution direction of arrival estimation techniques.” 2016. Doctoral Dissertation, Coventry University. Accessed June 18, 2019. http://curve.coventry.ac.uk/open/items/576a5aa1-32f8-4c01-99fa-a9023d7a1fc5/1 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.699444.

MLA Handbook (7th Edition):

Balasubramanian, R K. “Development of novel approaches for high resolution direction of arrival estimation techniques.” 2016. Web. 18 Jun 2019.

Vancouver:

Balasubramanian RK. Development of novel approaches for high resolution direction of arrival estimation techniques. [Internet] [Doctoral dissertation]. Coventry University; 2016. [cited 2019 Jun 18]. Available from: http://curve.coventry.ac.uk/open/items/576a5aa1-32f8-4c01-99fa-a9023d7a1fc5/1 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.699444.

Council of Science Editors:

Balasubramanian RK. Development of novel approaches for high resolution direction of arrival estimation techniques. [Doctoral Dissertation]. Coventry University; 2016. Available from: http://curve.coventry.ac.uk/open/items/576a5aa1-32f8-4c01-99fa-a9023d7a1fc5/1 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.699444


Virginia Tech

3. Chavali, Venkata Gautham. Signal Detection and Modulation Classification in Non-Gaussian Noise Environments.

Degree: PhD, Electrical and Computer Engineering, 2012, Virginia Tech

Signal detection and modulation classification are becoming increasingly important in a variety of wireless communication systems such as those involving spectrum management and electronic warfare… (more)

Subjects/Keywords: Modulation classification; Non-Gaussian noise; Signal detection

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APA (6th Edition):

Chavali, V. G. (2012). Signal Detection and Modulation Classification in Non-Gaussian Noise Environments. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/28387

Chicago Manual of Style (16th Edition):

Chavali, Venkata Gautham. “Signal Detection and Modulation Classification in Non-Gaussian Noise Environments.” 2012. Doctoral Dissertation, Virginia Tech. Accessed June 18, 2019. http://hdl.handle.net/10919/28387.

MLA Handbook (7th Edition):

Chavali, Venkata Gautham. “Signal Detection and Modulation Classification in Non-Gaussian Noise Environments.” 2012. Web. 18 Jun 2019.

Vancouver:

Chavali VG. Signal Detection and Modulation Classification in Non-Gaussian Noise Environments. [Internet] [Doctoral dissertation]. Virginia Tech; 2012. [cited 2019 Jun 18]. Available from: http://hdl.handle.net/10919/28387.

Council of Science Editors:

Chavali VG. Signal Detection and Modulation Classification in Non-Gaussian Noise Environments. [Doctoral Dissertation]. Virginia Tech; 2012. Available from: http://hdl.handle.net/10919/28387


University of Cincinnati

4. ALQADAH, HATIM FAROUQ. OPTIMIZED TIME-FREQUENCY CLASSIFICATION METHODS FOR INTELLIGENT AUTOMATIC JETTISONING OF HELMET-MOUNTED DISPLAY SYSTEMS.

Degree: MS, Engineering : Electrical Engineering, 2007, University of Cincinnati

 Helmet-Mounted Display Systems (HMDS) improve the effectiveness of air force pilots in combat. The embedded display systems provide the pilot with vital aircraft information, “look… (more)

Subjects/Keywords: Time-Frequency; Signal Detection; Signal Classification; Detection Algorithm

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APA (6th Edition):

ALQADAH, H. F. (2007). OPTIMIZED TIME-FREQUENCY CLASSIFICATION METHODS FOR INTELLIGENT AUTOMATIC JETTISONING OF HELMET-MOUNTED DISPLAY SYSTEMS. (Masters Thesis). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1185838368

Chicago Manual of Style (16th Edition):

ALQADAH, HATIM FAROUQ. “OPTIMIZED TIME-FREQUENCY CLASSIFICATION METHODS FOR INTELLIGENT AUTOMATIC JETTISONING OF HELMET-MOUNTED DISPLAY SYSTEMS.” 2007. Masters Thesis, University of Cincinnati. Accessed June 18, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1185838368.

MLA Handbook (7th Edition):

ALQADAH, HATIM FAROUQ. “OPTIMIZED TIME-FREQUENCY CLASSIFICATION METHODS FOR INTELLIGENT AUTOMATIC JETTISONING OF HELMET-MOUNTED DISPLAY SYSTEMS.” 2007. Web. 18 Jun 2019.

Vancouver:

ALQADAH HF. OPTIMIZED TIME-FREQUENCY CLASSIFICATION METHODS FOR INTELLIGENT AUTOMATIC JETTISONING OF HELMET-MOUNTED DISPLAY SYSTEMS. [Internet] [Masters thesis]. University of Cincinnati; 2007. [cited 2019 Jun 18]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1185838368.

Council of Science Editors:

ALQADAH HF. OPTIMIZED TIME-FREQUENCY CLASSIFICATION METHODS FOR INTELLIGENT AUTOMATIC JETTISONING OF HELMET-MOUNTED DISPLAY SYSTEMS. [Masters Thesis]. University of Cincinnati; 2007. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1185838368


Louisiana State University

5. Edwards, Charisma Dionne. Psychological Behavior Analysis Using Advanced Signal Processing Techniques for fMRI Data.

Degree: PhD, Electrical and Computer Engineering, 2013, Louisiana State University

 Psychological analysis related to voluntary reciprocal trust games were obtained using functional magnetic resonance imaging (fMRI) hyperscanning for 44 pairs of strangers throughout 36 trust… (more)

Subjects/Keywords: leave-one-out; leave-half-out; biomedical signal processing; social signal processing; behavioral signal processing; signal processing; prediction; classification

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APA (6th Edition):

Edwards, C. D. (2013). Psychological Behavior Analysis Using Advanced Signal Processing Techniques for fMRI Data. (Doctoral Dissertation). Louisiana State University. Retrieved from etd-11182013-162101 ; https://digitalcommons.lsu.edu/gradschool_dissertations/1954

Chicago Manual of Style (16th Edition):

Edwards, Charisma Dionne. “Psychological Behavior Analysis Using Advanced Signal Processing Techniques for fMRI Data.” 2013. Doctoral Dissertation, Louisiana State University. Accessed June 18, 2019. etd-11182013-162101 ; https://digitalcommons.lsu.edu/gradschool_dissertations/1954.

MLA Handbook (7th Edition):

Edwards, Charisma Dionne. “Psychological Behavior Analysis Using Advanced Signal Processing Techniques for fMRI Data.” 2013. Web. 18 Jun 2019.

Vancouver:

Edwards CD. Psychological Behavior Analysis Using Advanced Signal Processing Techniques for fMRI Data. [Internet] [Doctoral dissertation]. Louisiana State University; 2013. [cited 2019 Jun 18]. Available from: etd-11182013-162101 ; https://digitalcommons.lsu.edu/gradschool_dissertations/1954.

Council of Science Editors:

Edwards CD. Psychological Behavior Analysis Using Advanced Signal Processing Techniques for fMRI Data. [Doctoral Dissertation]. Louisiana State University; 2013. Available from: etd-11182013-162101 ; https://digitalcommons.lsu.edu/gradschool_dissertations/1954


Northeastern University

6. Gruber, Fred K. Electromagnetic information theory and subspace-based signal processing applications in imaging.

Degree: PhD, Department of Electrical and Computer Engineering, 2009, Northeastern University

 The first part of the dissertation investigates the information-theoretic characterization, via Shannon's information capacity, of wave radiation and wireless propagation systems. Specifically, this part of… (more)

Subjects/Keywords: Electrical engineering; Electromagnetic information; Inverse scattering; Multiple signal classification; Electromagnetic fields; Signal processing; Engineering

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APA (6th Edition):

Gruber, F. K. (2009). Electromagnetic information theory and subspace-based signal processing applications in imaging. (Doctoral Dissertation). Northeastern University. Retrieved from http://hdl.handle.net/2047/d10019170

Chicago Manual of Style (16th Edition):

Gruber, Fred K. “Electromagnetic information theory and subspace-based signal processing applications in imaging.” 2009. Doctoral Dissertation, Northeastern University. Accessed June 18, 2019. http://hdl.handle.net/2047/d10019170.

MLA Handbook (7th Edition):

Gruber, Fred K. “Electromagnetic information theory and subspace-based signal processing applications in imaging.” 2009. Web. 18 Jun 2019.

Vancouver:

Gruber FK. Electromagnetic information theory and subspace-based signal processing applications in imaging. [Internet] [Doctoral dissertation]. Northeastern University; 2009. [cited 2019 Jun 18]. Available from: http://hdl.handle.net/2047/d10019170.

Council of Science Editors:

Gruber FK. Electromagnetic information theory and subspace-based signal processing applications in imaging. [Doctoral Dissertation]. Northeastern University; 2009. Available from: http://hdl.handle.net/2047/d10019170


Purdue University

7. Du, Yuezhi. Signal enhancement and data mining for biological and chemical samples using mass spectrometry.

Degree: PhD, Biomedical Engineering, 2015, Purdue University

 Mass spectrometry has been actively involved in the areas of healthcare, pharmaceutics, environmental analysis, food industry and forensics due to its ability to provide molecular… (more)

Subjects/Keywords: Biomarker identification; Data mining; Mass spectrometry; Sample classification; Signal enhancement; Signal processing

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APA (6th Edition):

Du, Y. (2015). Signal enhancement and data mining for biological and chemical samples using mass spectrometry. (Doctoral Dissertation). Purdue University. Retrieved from https://docs.lib.purdue.edu/open_access_dissertations/1110

Chicago Manual of Style (16th Edition):

Du, Yuezhi. “Signal enhancement and data mining for biological and chemical samples using mass spectrometry.” 2015. Doctoral Dissertation, Purdue University. Accessed June 18, 2019. https://docs.lib.purdue.edu/open_access_dissertations/1110.

MLA Handbook (7th Edition):

Du, Yuezhi. “Signal enhancement and data mining for biological and chemical samples using mass spectrometry.” 2015. Web. 18 Jun 2019.

Vancouver:

Du Y. Signal enhancement and data mining for biological and chemical samples using mass spectrometry. [Internet] [Doctoral dissertation]. Purdue University; 2015. [cited 2019 Jun 18]. Available from: https://docs.lib.purdue.edu/open_access_dissertations/1110.

Council of Science Editors:

Du Y. Signal enhancement and data mining for biological and chemical samples using mass spectrometry. [Doctoral Dissertation]. Purdue University; 2015. Available from: https://docs.lib.purdue.edu/open_access_dissertations/1110


Brno University of Technology

8. Matuštík, Daniel. Parametrická analýza zvuků .

Degree: 2010, Brno University of Technology

 Tato bakalářská práce se zabývá zpracováním akustického signálu. Práce obsahuje teoretické modely pro zpracování i klasifikaci a zobrazuje také spektrogramy ruchů i sprejů v různém… (more)

Subjects/Keywords: Analýza; parametrizace; klasifikace; zpracování signálů; akustický signál.; Analysis; parameterization; classification; signal processing; acoustic signal.

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APA (6th Edition):

Matuštík, D. (2010). Parametrická analýza zvuků . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/16332

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Matuštík, Daniel. “Parametrická analýza zvuků .” 2010. Thesis, Brno University of Technology. Accessed June 18, 2019. http://hdl.handle.net/11012/16332.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Matuštík, Daniel. “Parametrická analýza zvuků .” 2010. Web. 18 Jun 2019.

Vancouver:

Matuštík D. Parametrická analýza zvuků . [Internet] [Thesis]. Brno University of Technology; 2010. [cited 2019 Jun 18]. Available from: http://hdl.handle.net/11012/16332.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Matuštík D. Parametrická analýza zvuků . [Thesis]. Brno University of Technology; 2010. Available from: http://hdl.handle.net/11012/16332

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

9. Chan wai tim, Stefen. Apprentissage supervisé d’une représentation multi-couches à base de dictionnaires pour la classification d’images et de vidéos : Supervised Multi-layer Dictionary learning for image and video classification.

Degree: Docteur es, Signal image parole telecoms, 2016, Grenoble Alpes

Ces dernières années, de nombreux travaux ont été publiés sur l'encodage parcimonieux et l'apprentissage de dictionnaires. Leur utilisation s'est initialement développée dans des applications de… (more)

Subjects/Keywords: Traitement du signal; Classification; Apprentissage; Dictionnaire; Parcimonie; Signal processing; Classification; Machine learning; Dictionary; Sparse Coding; 620

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APA (6th Edition):

Chan wai tim, S. (2016). Apprentissage supervisé d’une représentation multi-couches à base de dictionnaires pour la classification d’images et de vidéos : Supervised Multi-layer Dictionary learning for image and video classification. (Doctoral Dissertation). Grenoble Alpes. Retrieved from http://www.theses.fr/2016GREAT089

Chicago Manual of Style (16th Edition):

Chan wai tim, Stefen. “Apprentissage supervisé d’une représentation multi-couches à base de dictionnaires pour la classification d’images et de vidéos : Supervised Multi-layer Dictionary learning for image and video classification.” 2016. Doctoral Dissertation, Grenoble Alpes. Accessed June 18, 2019. http://www.theses.fr/2016GREAT089.

MLA Handbook (7th Edition):

Chan wai tim, Stefen. “Apprentissage supervisé d’une représentation multi-couches à base de dictionnaires pour la classification d’images et de vidéos : Supervised Multi-layer Dictionary learning for image and video classification.” 2016. Web. 18 Jun 2019.

Vancouver:

Chan wai tim S. Apprentissage supervisé d’une représentation multi-couches à base de dictionnaires pour la classification d’images et de vidéos : Supervised Multi-layer Dictionary learning for image and video classification. [Internet] [Doctoral dissertation]. Grenoble Alpes; 2016. [cited 2019 Jun 18]. Available from: http://www.theses.fr/2016GREAT089.

Council of Science Editors:

Chan wai tim S. Apprentissage supervisé d’une représentation multi-couches à base de dictionnaires pour la classification d’images et de vidéos : Supervised Multi-layer Dictionary learning for image and video classification. [Doctoral Dissertation]. Grenoble Alpes; 2016. Available from: http://www.theses.fr/2016GREAT089

10. Safi, Khaled. Human postural stability analysis : application to Parkinsonian subjects : Méthodes d'analyse de la stabilité posturale chez l'homme : application aux sujets Parkinsoniens.

Degree: Docteur es, Signal, Image, Automatique, 2016, Université Paris-Est

L’analyse de la stabilité posturale chez l’homme a fait l’objet, ces dernières années, d’un intérêt grandissant au sein de la communauté scientifique. Le système postural… (more)

Subjects/Keywords: Analyse posturale; Stabilométrie; Décomposition du signal; Classification; Hmm; Maladie de Parkinson; Posture; Stabilometry; Signal decomposition; Classification; Hmm; Parkinson's disease

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APA (6th Edition):

Safi, K. (2016). Human postural stability analysis : application to Parkinsonian subjects : Méthodes d'analyse de la stabilité posturale chez l'homme : application aux sujets Parkinsoniens. (Doctoral Dissertation). Université Paris-Est. Retrieved from http://www.theses.fr/2016PESC1066

Chicago Manual of Style (16th Edition):

Safi, Khaled. “Human postural stability analysis : application to Parkinsonian subjects : Méthodes d'analyse de la stabilité posturale chez l'homme : application aux sujets Parkinsoniens.” 2016. Doctoral Dissertation, Université Paris-Est. Accessed June 18, 2019. http://www.theses.fr/2016PESC1066.

MLA Handbook (7th Edition):

Safi, Khaled. “Human postural stability analysis : application to Parkinsonian subjects : Méthodes d'analyse de la stabilité posturale chez l'homme : application aux sujets Parkinsoniens.” 2016. Web. 18 Jun 2019.

Vancouver:

Safi K. Human postural stability analysis : application to Parkinsonian subjects : Méthodes d'analyse de la stabilité posturale chez l'homme : application aux sujets Parkinsoniens. [Internet] [Doctoral dissertation]. Université Paris-Est; 2016. [cited 2019 Jun 18]. Available from: http://www.theses.fr/2016PESC1066.

Council of Science Editors:

Safi K. Human postural stability analysis : application to Parkinsonian subjects : Méthodes d'analyse de la stabilité posturale chez l'homme : application aux sujets Parkinsoniens. [Doctoral Dissertation]. Université Paris-Est; 2016. Available from: http://www.theses.fr/2016PESC1066

11. Ech-Choudany, Youssef. Analyse des signaux non-stationnaires à l’aide d’une nouvelle démarche de classification : application à l’identification de l’endommagement de matériaux composites par émission acoustique et à la détection de la crise d’épilepsie par EEG : Non-stationary signal analysis using a new classification approach : application to damage identification in composites materials using acoustic emission and to the epileptic seizure detection in EEGs.

Degree: Docteur es, ATS - Automatique et Traitement de Signal, 2018, Reims; ENSA – École National des Sciences Appliquées -Université Mohamed Premier

Proposé dans le cadre d’une triple collaboration entre le Centre de Recherche en Science et Technologie de l'Information et de la Communication (CReSTIC) de l'Université… (more)

Subjects/Keywords: Emission acoustique; Eeg; Endommagement; Temps-Fréquence; Classification; Signal; Acoustic emission; Eeg; Damage events; Time-Frequency; Classification; Signal; 620.118

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APA (6th Edition):

Ech-Choudany, Y. (2018). Analyse des signaux non-stationnaires à l’aide d’une nouvelle démarche de classification : application à l’identification de l’endommagement de matériaux composites par émission acoustique et à la détection de la crise d’épilepsie par EEG : Non-stationary signal analysis using a new classification approach : application to damage identification in composites materials using acoustic emission and to the epileptic seizure detection in EEGs. (Doctoral Dissertation). Reims; ENSA – École National des Sciences Appliquées -Université Mohamed Premier. Retrieved from http://www.theses.fr/2018REIMS020

Chicago Manual of Style (16th Edition):

Ech-Choudany, Youssef. “Analyse des signaux non-stationnaires à l’aide d’une nouvelle démarche de classification : application à l’identification de l’endommagement de matériaux composites par émission acoustique et à la détection de la crise d’épilepsie par EEG : Non-stationary signal analysis using a new classification approach : application to damage identification in composites materials using acoustic emission and to the epileptic seizure detection in EEGs.” 2018. Doctoral Dissertation, Reims; ENSA – École National des Sciences Appliquées -Université Mohamed Premier. Accessed June 18, 2019. http://www.theses.fr/2018REIMS020.

MLA Handbook (7th Edition):

Ech-Choudany, Youssef. “Analyse des signaux non-stationnaires à l’aide d’une nouvelle démarche de classification : application à l’identification de l’endommagement de matériaux composites par émission acoustique et à la détection de la crise d’épilepsie par EEG : Non-stationary signal analysis using a new classification approach : application to damage identification in composites materials using acoustic emission and to the epileptic seizure detection in EEGs.” 2018. Web. 18 Jun 2019.

Vancouver:

Ech-Choudany Y. Analyse des signaux non-stationnaires à l’aide d’une nouvelle démarche de classification : application à l’identification de l’endommagement de matériaux composites par émission acoustique et à la détection de la crise d’épilepsie par EEG : Non-stationary signal analysis using a new classification approach : application to damage identification in composites materials using acoustic emission and to the epileptic seizure detection in EEGs. [Internet] [Doctoral dissertation]. Reims; ENSA – École National des Sciences Appliquées -Université Mohamed Premier; 2018. [cited 2019 Jun 18]. Available from: http://www.theses.fr/2018REIMS020.

Council of Science Editors:

Ech-Choudany Y. Analyse des signaux non-stationnaires à l’aide d’une nouvelle démarche de classification : application à l’identification de l’endommagement de matériaux composites par émission acoustique et à la détection de la crise d’épilepsie par EEG : Non-stationary signal analysis using a new classification approach : application to damage identification in composites materials using acoustic emission and to the epileptic seizure detection in EEGs. [Doctoral Dissertation]. Reims; ENSA – École National des Sciences Appliquées -Université Mohamed Premier; 2018. Available from: http://www.theses.fr/2018REIMS020


Dalhousie University

12. Binder, Carolyn. Using an Aural Classifier to Discriminate Cetacean Vocalizations.

Degree: MS, Department of Physics & Atmospheric Science, 2012, Dalhousie University

 To positively identify marine mammals using passive acoustics, large volumes of data are often collected that need to be processed by a trained analyst. To… (more)

Subjects/Keywords: Marine mammals; Underwater acoustics; Marine bioacoustics; Aural classification; Perceptual signal features; Automatic detection and classification

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APA (6th Edition):

Binder, C. (2012). Using an Aural Classifier to Discriminate Cetacean Vocalizations. (Masters Thesis). Dalhousie University. Retrieved from http://hdl.handle.net/10222/14607

Chicago Manual of Style (16th Edition):

Binder, Carolyn. “Using an Aural Classifier to Discriminate Cetacean Vocalizations.” 2012. Masters Thesis, Dalhousie University. Accessed June 18, 2019. http://hdl.handle.net/10222/14607.

MLA Handbook (7th Edition):

Binder, Carolyn. “Using an Aural Classifier to Discriminate Cetacean Vocalizations.” 2012. Web. 18 Jun 2019.

Vancouver:

Binder C. Using an Aural Classifier to Discriminate Cetacean Vocalizations. [Internet] [Masters thesis]. Dalhousie University; 2012. [cited 2019 Jun 18]. Available from: http://hdl.handle.net/10222/14607.

Council of Science Editors:

Binder C. Using an Aural Classifier to Discriminate Cetacean Vocalizations. [Masters Thesis]. Dalhousie University; 2012. Available from: http://hdl.handle.net/10222/14607


University of Toronto

13. Hassan, Ahnaf Rashik. Developing a System for High-Resolution Detection of Driver Drowsiness Using Physiological Signals.

Degree: 2018, University of Toronto

Background: This research aims to develop a high-resolution, reliable, and efficient drowsiness detection system. Existing systems for detecting drowsiness are of low-resolution, expensive, dependent on… (more)

Subjects/Keywords: Biomedical Signal Processing; Classification; Drowsiness; EEG; Machine Learning; Road Safety; 0541

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APA (6th Edition):

Hassan, A. R. (2018). Developing a System for High-Resolution Detection of Driver Drowsiness Using Physiological Signals. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/91556

Chicago Manual of Style (16th Edition):

Hassan, Ahnaf Rashik. “Developing a System for High-Resolution Detection of Driver Drowsiness Using Physiological Signals.” 2018. Masters Thesis, University of Toronto. Accessed June 18, 2019. http://hdl.handle.net/1807/91556.

MLA Handbook (7th Edition):

Hassan, Ahnaf Rashik. “Developing a System for High-Resolution Detection of Driver Drowsiness Using Physiological Signals.” 2018. Web. 18 Jun 2019.

Vancouver:

Hassan AR. Developing a System for High-Resolution Detection of Driver Drowsiness Using Physiological Signals. [Internet] [Masters thesis]. University of Toronto; 2018. [cited 2019 Jun 18]. Available from: http://hdl.handle.net/1807/91556.

Council of Science Editors:

Hassan AR. Developing a System for High-Resolution Detection of Driver Drowsiness Using Physiological Signals. [Masters Thesis]. University of Toronto; 2018. Available from: http://hdl.handle.net/1807/91556


Wright State University

14. Like, Eric C. Non-Cooperative Modulation Recognition Via Exploitation of Cyclic Statistics.

Degree: MSEgr, Electrical Engineering, 2007, Wright State University

 This research proposes and evaluates a feature based modulation classification system designed to discriminate between AM, BFSK, OFDM, DS-CDMA, 4-ASK, 8-ASK, BPSK, QPSK, 8-PSK, 16-… (more)

Subjects/Keywords: Modulation Recognition; Cyclostationarity; Signal Classification; Spectral Correlation; Cognitive Radio

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APA (6th Edition):

Like, E. C. (2007). Non-Cooperative Modulation Recognition Via Exploitation of Cyclic Statistics. (Masters Thesis). Wright State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=wright1197649202

Chicago Manual of Style (16th Edition):

Like, Eric C. “Non-Cooperative Modulation Recognition Via Exploitation of Cyclic Statistics.” 2007. Masters Thesis, Wright State University. Accessed June 18, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=wright1197649202.

MLA Handbook (7th Edition):

Like, Eric C. “Non-Cooperative Modulation Recognition Via Exploitation of Cyclic Statistics.” 2007. Web. 18 Jun 2019.

Vancouver:

Like EC. Non-Cooperative Modulation Recognition Via Exploitation of Cyclic Statistics. [Internet] [Masters thesis]. Wright State University; 2007. [cited 2019 Jun 18]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=wright1197649202.

Council of Science Editors:

Like EC. Non-Cooperative Modulation Recognition Via Exploitation of Cyclic Statistics. [Masters Thesis]. Wright State University; 2007. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=wright1197649202


NSYSU

15. Chen, Hsing-Feng. Application of Hybrid Antennas in Normalized Site Attenuation Measurements and An Improved Method for Free-space Antenna Factor Measurement.

Degree: PhD, Electrical Engineering, 2010, NSYSU

 This thesis first discusses the ground plane effects of a test site on the antenna factors (AFs) of hybrid antenna (biconical log-periodic dipole array). Meanwhile,… (more)

Subjects/Keywords: normalized site attenuation; antenna factor; multiple signal classification

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APA (6th Edition):

Chen, H. (2010). Application of Hybrid Antennas in Normalized Site Attenuation Measurements and An Improved Method for Free-space Antenna Factor Measurement. (Doctoral Dissertation). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0118110-211617

Chicago Manual of Style (16th Edition):

Chen, Hsing-Feng. “Application of Hybrid Antennas in Normalized Site Attenuation Measurements and An Improved Method for Free-space Antenna Factor Measurement.” 2010. Doctoral Dissertation, NSYSU. Accessed June 18, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0118110-211617.

MLA Handbook (7th Edition):

Chen, Hsing-Feng. “Application of Hybrid Antennas in Normalized Site Attenuation Measurements and An Improved Method for Free-space Antenna Factor Measurement.” 2010. Web. 18 Jun 2019.

Vancouver:

Chen H. Application of Hybrid Antennas in Normalized Site Attenuation Measurements and An Improved Method for Free-space Antenna Factor Measurement. [Internet] [Doctoral dissertation]. NSYSU; 2010. [cited 2019 Jun 18]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0118110-211617.

Council of Science Editors:

Chen H. Application of Hybrid Antennas in Normalized Site Attenuation Measurements and An Improved Method for Free-space Antenna Factor Measurement. [Doctoral Dissertation]. NSYSU; 2010. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0118110-211617


University of California – Irvine

16. Szymanska, Agnieszka Anna Fielder. Action Potentials and Waves: A Short Story on Electrophysiological Signal Processing.

Degree: Biomedical Engineering, 2017, University of California – Irvine

 Electrophysiological signal processing is a broad, complex and growing field. Universally, the first steps of any signal analysis are detection and classification. Here we present… (more)

Subjects/Keywords: Biomedical engineering; Neurosciences; Anesthesia; Classification; Detection; MUA; Neuroengineering; Signal Processing

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APA (6th Edition):

Szymanska, A. A. F. (2017). Action Potentials and Waves: A Short Story on Electrophysiological Signal Processing. (Thesis). University of California – Irvine. Retrieved from http://www.escholarship.org/uc/item/98t9n6c4

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Szymanska, Agnieszka Anna Fielder. “Action Potentials and Waves: A Short Story on Electrophysiological Signal Processing.” 2017. Thesis, University of California – Irvine. Accessed June 18, 2019. http://www.escholarship.org/uc/item/98t9n6c4.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Szymanska, Agnieszka Anna Fielder. “Action Potentials and Waves: A Short Story on Electrophysiological Signal Processing.” 2017. Web. 18 Jun 2019.

Vancouver:

Szymanska AAF. Action Potentials and Waves: A Short Story on Electrophysiological Signal Processing. [Internet] [Thesis]. University of California – Irvine; 2017. [cited 2019 Jun 18]. Available from: http://www.escholarship.org/uc/item/98t9n6c4.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Szymanska AAF. Action Potentials and Waves: A Short Story on Electrophysiological Signal Processing. [Thesis]. University of California – Irvine; 2017. Available from: http://www.escholarship.org/uc/item/98t9n6c4

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Tennessee – Knoxville

17. Marchese, Andrew. Data Analysis Methods using Persistence Diagrams.

Degree: 2017, University of Tennessee – Knoxville

 In recent years, persistent homology techniques have been used to study data and dynamical systems. Using these techniques, information about the shape and geometry of… (more)

Subjects/Keywords: Machine Learning; Data Science; Signal Processing; Statistics; Classification; Clustering; Statistical Models

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APA (6th Edition):

Marchese, A. (2017). Data Analysis Methods using Persistence Diagrams. (Doctoral Dissertation). University of Tennessee – Knoxville. Retrieved from https://trace.tennessee.edu/utk_graddiss/4700

Chicago Manual of Style (16th Edition):

Marchese, Andrew. “Data Analysis Methods using Persistence Diagrams.” 2017. Doctoral Dissertation, University of Tennessee – Knoxville. Accessed June 18, 2019. https://trace.tennessee.edu/utk_graddiss/4700.

MLA Handbook (7th Edition):

Marchese, Andrew. “Data Analysis Methods using Persistence Diagrams.” 2017. Web. 18 Jun 2019.

Vancouver:

Marchese A. Data Analysis Methods using Persistence Diagrams. [Internet] [Doctoral dissertation]. University of Tennessee – Knoxville; 2017. [cited 2019 Jun 18]. Available from: https://trace.tennessee.edu/utk_graddiss/4700.

Council of Science Editors:

Marchese A. Data Analysis Methods using Persistence Diagrams. [Doctoral Dissertation]. University of Tennessee – Knoxville; 2017. Available from: https://trace.tennessee.edu/utk_graddiss/4700


Virginia Tech

18. Marballie, Gladstone Washington. Symbol Timing and Coarse Classification of Phase Modulated Signals on a Standalone SDR Platform.

Degree: MS, Electrical and Computer Engineering, 2010, Virginia Tech

 The Universal Classifier Synchronizer (UCS) is a Cognitive Radio system/sensor that can detect, classify, and extract the relevant parameters from a received signal to establish… (more)

Subjects/Keywords: FPGA; Signal Classification; Symbol Timing; DSP; SDR; Cognitive Radio

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Marballie, G. W. (2010). Symbol Timing and Coarse Classification of Phase Modulated Signals on a Standalone SDR Platform. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/35409

Chicago Manual of Style (16th Edition):

Marballie, Gladstone Washington. “Symbol Timing and Coarse Classification of Phase Modulated Signals on a Standalone SDR Platform.” 2010. Masters Thesis, Virginia Tech. Accessed June 18, 2019. http://hdl.handle.net/10919/35409.

MLA Handbook (7th Edition):

Marballie, Gladstone Washington. “Symbol Timing and Coarse Classification of Phase Modulated Signals on a Standalone SDR Platform.” 2010. Web. 18 Jun 2019.

Vancouver:

Marballie GW. Symbol Timing and Coarse Classification of Phase Modulated Signals on a Standalone SDR Platform. [Internet] [Masters thesis]. Virginia Tech; 2010. [cited 2019 Jun 18]. Available from: http://hdl.handle.net/10919/35409.

Council of Science Editors:

Marballie GW. Symbol Timing and Coarse Classification of Phase Modulated Signals on a Standalone SDR Platform. [Masters Thesis]. Virginia Tech; 2010. Available from: http://hdl.handle.net/10919/35409

19. Moger, Michael. Classification of Arbitrary Motion into a Canonical Basis.

Degree: MS, 2018, University of New Hampshire

 The Empatica E4 wristwatch utilizes four sensors to capture medical data from its user - an accelerometer, a plethysmograph, an electro-dermal activity sensor, and an… (more)

Subjects/Keywords: Empatica; Machine learning; Matching pursuit; Signal classification; Singular value decomposition

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APA (6th Edition):

Moger, M. (2018). Classification of Arbitrary Motion into a Canonical Basis. (Thesis). University of New Hampshire. Retrieved from https://scholars.unh.edu/thesis/1258

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Moger, Michael. “Classification of Arbitrary Motion into a Canonical Basis.” 2018. Thesis, University of New Hampshire. Accessed June 18, 2019. https://scholars.unh.edu/thesis/1258.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Moger, Michael. “Classification of Arbitrary Motion into a Canonical Basis.” 2018. Web. 18 Jun 2019.

Vancouver:

Moger M. Classification of Arbitrary Motion into a Canonical Basis. [Internet] [Thesis]. University of New Hampshire; 2018. [cited 2019 Jun 18]. Available from: https://scholars.unh.edu/thesis/1258.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Moger M. Classification of Arbitrary Motion into a Canonical Basis. [Thesis]. University of New Hampshire; 2018. Available from: https://scholars.unh.edu/thesis/1258

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Virginia Tech

20. Headley, William C. Spectrum Sensing in the Presence of Channel and Tx/Rx Impairments.

Degree: PhD, Electrical and Computer Engineering, 2015, Virginia Tech

 The task of spectrum sensing, defined here to consist of signal detection, signal parameter estimation, and signal identification, is a critically important task in a… (more)

Subjects/Keywords: spectrum sensing; signal parameter estimation; modulation classification; collaborative sensing

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APA (6th Edition):

Headley, W. C. (2015). Spectrum Sensing in the Presence of Channel and Tx/Rx Impairments. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/52915

Chicago Manual of Style (16th Edition):

Headley, William C. “Spectrum Sensing in the Presence of Channel and Tx/Rx Impairments.” 2015. Doctoral Dissertation, Virginia Tech. Accessed June 18, 2019. http://hdl.handle.net/10919/52915.

MLA Handbook (7th Edition):

Headley, William C. “Spectrum Sensing in the Presence of Channel and Tx/Rx Impairments.” 2015. Web. 18 Jun 2019.

Vancouver:

Headley WC. Spectrum Sensing in the Presence of Channel and Tx/Rx Impairments. [Internet] [Doctoral dissertation]. Virginia Tech; 2015. [cited 2019 Jun 18]. Available from: http://hdl.handle.net/10919/52915.

Council of Science Editors:

Headley WC. Spectrum Sensing in the Presence of Channel and Tx/Rx Impairments. [Doctoral Dissertation]. Virginia Tech; 2015. Available from: http://hdl.handle.net/10919/52915


University of Houston

21. Aroua, Nesrine. Using Wireless Dry EEG System to Detect Mental Workload during Mental Arithmetic.

Degree: Biomedical Engineering, Department of, 2016, University of Houston

 Mental workload, the amount of cognitive resources invested during a task, is a crucial metric for performance. Determining the performance of an individual aids in… (more)

Subjects/Keywords: EEG; mental workload; dry EEG electrodes; Biomedical signal processing; classification

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APA (6th Edition):

Aroua, N. (2016). Using Wireless Dry EEG System to Detect Mental Workload during Mental Arithmetic. (Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/3219

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Aroua, Nesrine. “Using Wireless Dry EEG System to Detect Mental Workload during Mental Arithmetic.” 2016. Thesis, University of Houston. Accessed June 18, 2019. http://hdl.handle.net/10657/3219.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Aroua, Nesrine. “Using Wireless Dry EEG System to Detect Mental Workload during Mental Arithmetic.” 2016. Web. 18 Jun 2019.

Vancouver:

Aroua N. Using Wireless Dry EEG System to Detect Mental Workload during Mental Arithmetic. [Internet] [Thesis]. University of Houston; 2016. [cited 2019 Jun 18]. Available from: http://hdl.handle.net/10657/3219.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Aroua N. Using Wireless Dry EEG System to Detect Mental Workload during Mental Arithmetic. [Thesis]. University of Houston; 2016. Available from: http://hdl.handle.net/10657/3219

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

22. Knez, Kristijan. MERJENJE ZAKASNITVE SIGNALOV IN PERIODE SIGNALA.

Degree: 2016, Univerza v Mariboru

Magistrsko delo »Merjenje zakasnitve in periode signala« se nanaša na področje meritev, digitalne elektronike in obdelave signalov. V delu je prikazan pregled področja merjenja časa,… (more)

Subjects/Keywords: merjenje; zakasnitve; perioda; signal; digitalna integrirana vezja; measuring; time delay; period; signal; digital integrated circuits; info:eu-repo/classification/udc/621.3915(043.2)

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APA (6th Edition):

Knez, K. (2016). MERJENJE ZAKASNITVE SIGNALOV IN PERIODE SIGNALA. (Masters Thesis). Univerza v Mariboru. Retrieved from https://dk.um.si/IzpisGradiva.php?id=59148 ; https://dk.um.si/Dokument.php?id=92378&dn= ; http://www.cobiss.si/scripts/cobiss?command=DISPLAY&base=cobib&rid=19618326&fmt=11

Chicago Manual of Style (16th Edition):

Knez, Kristijan. “MERJENJE ZAKASNITVE SIGNALOV IN PERIODE SIGNALA.” 2016. Masters Thesis, Univerza v Mariboru. Accessed June 18, 2019. https://dk.um.si/IzpisGradiva.php?id=59148 ; https://dk.um.si/Dokument.php?id=92378&dn= ; http://www.cobiss.si/scripts/cobiss?command=DISPLAY&base=cobib&rid=19618326&fmt=11.

MLA Handbook (7th Edition):

Knez, Kristijan. “MERJENJE ZAKASNITVE SIGNALOV IN PERIODE SIGNALA.” 2016. Web. 18 Jun 2019.

Vancouver:

Knez K. MERJENJE ZAKASNITVE SIGNALOV IN PERIODE SIGNALA. [Internet] [Masters thesis]. Univerza v Mariboru; 2016. [cited 2019 Jun 18]. Available from: https://dk.um.si/IzpisGradiva.php?id=59148 ; https://dk.um.si/Dokument.php?id=92378&dn= ; http://www.cobiss.si/scripts/cobiss?command=DISPLAY&base=cobib&rid=19618326&fmt=11.

Council of Science Editors:

Knez K. MERJENJE ZAKASNITVE SIGNALOV IN PERIODE SIGNALA. [Masters Thesis]. Univerza v Mariboru; 2016. Available from: https://dk.um.si/IzpisGradiva.php?id=59148 ; https://dk.um.si/Dokument.php?id=92378&dn= ; http://www.cobiss.si/scripts/cobiss?command=DISPLAY&base=cobib&rid=19618326&fmt=11


Arizona State University

23. Ravichandran, Lakshminarayan. Waveform Mapping and Time-Frequency Processing of Biological Sequences and Structures.

Degree: PhD, Electrical Engineering, 2011, Arizona State University

 Genomic and proteomic sequences, which are in the form of deoxyribonucleic acid (DNA) and amino acids respectively, play a vital role in the structure, function… (more)

Subjects/Keywords: Engineering; Bioinformatics; Molecular Biology; chirp signal; classification; DNA sequence alignment; Gaussian signal; protein structure alignment; querying

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APA (6th Edition):

Ravichandran, L. (2011). Waveform Mapping and Time-Frequency Processing of Biological Sequences and Structures. (Doctoral Dissertation). Arizona State University. Retrieved from http://repository.asu.edu/items/9483

Chicago Manual of Style (16th Edition):

Ravichandran, Lakshminarayan. “Waveform Mapping and Time-Frequency Processing of Biological Sequences and Structures.” 2011. Doctoral Dissertation, Arizona State University. Accessed June 18, 2019. http://repository.asu.edu/items/9483.

MLA Handbook (7th Edition):

Ravichandran, Lakshminarayan. “Waveform Mapping and Time-Frequency Processing of Biological Sequences and Structures.” 2011. Web. 18 Jun 2019.

Vancouver:

Ravichandran L. Waveform Mapping and Time-Frequency Processing of Biological Sequences and Structures. [Internet] [Doctoral dissertation]. Arizona State University; 2011. [cited 2019 Jun 18]. Available from: http://repository.asu.edu/items/9483.

Council of Science Editors:

Ravichandran L. Waveform Mapping and Time-Frequency Processing of Biological Sequences and Structures. [Doctoral Dissertation]. Arizona State University; 2011. Available from: http://repository.asu.edu/items/9483


University of Western Ontario

24. Harirpoush, Elham. Baseline Assisted Classification of Heart Rate Variability.

Degree: 2018, University of Western Ontario

 Recently, among various analysis methods of physiological signals, automatic analysis of Electrocardiogram (ECG) signals, especially heart rate variability (HRV) has received significant attention in the… (more)

Subjects/Keywords: ECG signal; heart rate variability (HRV); signal processing; feature extraction; classification; machine learning; Artificial Intelligence and Robotics; Computer Sciences

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APA (6th Edition):

Harirpoush, E. (2018). Baseline Assisted Classification of Heart Rate Variability. (Thesis). University of Western Ontario. Retrieved from https://ir.lib.uwo.ca/etd/5443

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Harirpoush, Elham. “Baseline Assisted Classification of Heart Rate Variability.” 2018. Thesis, University of Western Ontario. Accessed June 18, 2019. https://ir.lib.uwo.ca/etd/5443.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Harirpoush, Elham. “Baseline Assisted Classification of Heart Rate Variability.” 2018. Web. 18 Jun 2019.

Vancouver:

Harirpoush E. Baseline Assisted Classification of Heart Rate Variability. [Internet] [Thesis]. University of Western Ontario; 2018. [cited 2019 Jun 18]. Available from: https://ir.lib.uwo.ca/etd/5443.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Harirpoush E. Baseline Assisted Classification of Heart Rate Variability. [Thesis]. University of Western Ontario; 2018. Available from: https://ir.lib.uwo.ca/etd/5443

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Pennsylvania

25. Moulton, Jeannie L. Enhanced High-Resolution Imaging through Multiple-Frequency Coarray Augmentation.

Degree: 2010, University of Pennsylvania

 In imaging, much attention is paid to increasing the resolution capabilities of a system. Increasing resolution allows for high-accuracy source location and the ability to… (more)

Subjects/Keywords: High-resolution imaging; Direction-of-arrival estimation; Wideband imaging; Coarray; Virtual arrays; Multiple Signal Classification; Signal Processing

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APA (6th Edition):

Moulton, J. L. (2010). Enhanced High-Resolution Imaging through Multiple-Frequency Coarray Augmentation. (Thesis). University of Pennsylvania. Retrieved from https://repository.upenn.edu/edissertations/240

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Moulton, Jeannie L. “Enhanced High-Resolution Imaging through Multiple-Frequency Coarray Augmentation.” 2010. Thesis, University of Pennsylvania. Accessed June 18, 2019. https://repository.upenn.edu/edissertations/240.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Moulton, Jeannie L. “Enhanced High-Resolution Imaging through Multiple-Frequency Coarray Augmentation.” 2010. Web. 18 Jun 2019.

Vancouver:

Moulton JL. Enhanced High-Resolution Imaging through Multiple-Frequency Coarray Augmentation. [Internet] [Thesis]. University of Pennsylvania; 2010. [cited 2019 Jun 18]. Available from: https://repository.upenn.edu/edissertations/240.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Moulton JL. Enhanced High-Resolution Imaging through Multiple-Frequency Coarray Augmentation. [Thesis]. University of Pennsylvania; 2010. Available from: https://repository.upenn.edu/edissertations/240

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Université de Montréal

26. Thiery, Thomas. Décoder la localisation de l'attention visuelle spatiale grâce au signal EEG .

Degree: 2017, Université de Montréal

 L’attention visuo-spatiale peut être déployée à différentes localisations dans l’espace indépendamment de la direction du regard, et des études ont montré que les composantes des… (more)

Subjects/Keywords: Attention visuelle spatiale; EEG; Potentiel relié aux évènements; Décodage cérébral; Classification de signal; Machine à vecteur de support; Visual spatial attention; Event-related potential; Brai; Signal classification; Support vector machine

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Thiery, T. (2017). Décoder la localisation de l'attention visuelle spatiale grâce au signal EEG . (Thesis). Université de Montréal. Retrieved from http://hdl.handle.net/1866/18818

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Thiery, Thomas. “Décoder la localisation de l'attention visuelle spatiale grâce au signal EEG .” 2017. Thesis, Université de Montréal. Accessed June 18, 2019. http://hdl.handle.net/1866/18818.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Thiery, Thomas. “Décoder la localisation de l'attention visuelle spatiale grâce au signal EEG .” 2017. Web. 18 Jun 2019.

Vancouver:

Thiery T. Décoder la localisation de l'attention visuelle spatiale grâce au signal EEG . [Internet] [Thesis]. Université de Montréal; 2017. [cited 2019 Jun 18]. Available from: http://hdl.handle.net/1866/18818.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Thiery T. Décoder la localisation de l'attention visuelle spatiale grâce au signal EEG . [Thesis]. Université de Montréal; 2017. Available from: http://hdl.handle.net/1866/18818

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

27. Zullo, Anthony. Analyse de données fonctionnelles en télédétection hyperspectrale : application à l'étude des paysages agri-forestiers : Functional data analysis in hyperspectral remote sensing : application to the study of agri-forest landscape.

Degree: Docteur es, Mathématiques appliquées, 2016, Université Toulouse III – Paul Sabatier

En imagerie hyperspectrale, chaque pixel est associé à un spectre provenant de la réflectance observée en d points de mesure (i.e., longueurs d'onde). On se… (more)

Subjects/Keywords: Télédétection hyperspectrale; Données fonctionnelles; Régression non-paramétrique; Classification supervisée; Signal bruité; Méthodes parcimonieuses; Hyperspectral remote sensing; Functional data; Nonparametric regression; Supervised classification; Noised signal; Parsimonious methods

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APA (6th Edition):

Zullo, A. (2016). Analyse de données fonctionnelles en télédétection hyperspectrale : application à l'étude des paysages agri-forestiers : Functional data analysis in hyperspectral remote sensing : application to the study of agri-forest landscape. (Doctoral Dissertation). Université Toulouse III – Paul Sabatier. Retrieved from http://www.theses.fr/2016TOU30135

Chicago Manual of Style (16th Edition):

Zullo, Anthony. “Analyse de données fonctionnelles en télédétection hyperspectrale : application à l'étude des paysages agri-forestiers : Functional data analysis in hyperspectral remote sensing : application to the study of agri-forest landscape.” 2016. Doctoral Dissertation, Université Toulouse III – Paul Sabatier. Accessed June 18, 2019. http://www.theses.fr/2016TOU30135.

MLA Handbook (7th Edition):

Zullo, Anthony. “Analyse de données fonctionnelles en télédétection hyperspectrale : application à l'étude des paysages agri-forestiers : Functional data analysis in hyperspectral remote sensing : application to the study of agri-forest landscape.” 2016. Web. 18 Jun 2019.

Vancouver:

Zullo A. Analyse de données fonctionnelles en télédétection hyperspectrale : application à l'étude des paysages agri-forestiers : Functional data analysis in hyperspectral remote sensing : application to the study of agri-forest landscape. [Internet] [Doctoral dissertation]. Université Toulouse III – Paul Sabatier; 2016. [cited 2019 Jun 18]. Available from: http://www.theses.fr/2016TOU30135.

Council of Science Editors:

Zullo A. Analyse de données fonctionnelles en télédétection hyperspectrale : application à l'étude des paysages agri-forestiers : Functional data analysis in hyperspectral remote sensing : application to the study of agri-forest landscape. [Doctoral Dissertation]. Université Toulouse III – Paul Sabatier; 2016. Available from: http://www.theses.fr/2016TOU30135

28. Jalloul, Nahed. Development of a system of acquisition and movement analysis : application on Parkinson's disease : Développement d’un système d’acquisition et d’analyse du mouvement : application à la maladie de Parkinson.

Degree: Docteur es, Traitement du signal et télécommunications, 2016, Rennes 1

Le travail présenté dans ce mémoire porte sur le développement d'un système de surveillance ambulatoire pour la détection de la dyskinésie induite par la Levodopa… (more)

Subjects/Keywords: Traitement du signal; Capteurs portables; Classification des activités; LID Détection; La maladie de Parkinson; Signal Processing; Wearable Sensors; Activity Classification; LID Detection; Parkinson’s Disease

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APA (6th Edition):

Jalloul, N. (2016). Development of a system of acquisition and movement analysis : application on Parkinson's disease : Développement d’un système d’acquisition et d’analyse du mouvement : application à la maladie de Parkinson. (Doctoral Dissertation). Rennes 1. Retrieved from http://www.theses.fr/2016REN1S096

Chicago Manual of Style (16th Edition):

Jalloul, Nahed. “Development of a system of acquisition and movement analysis : application on Parkinson's disease : Développement d’un système d’acquisition et d’analyse du mouvement : application à la maladie de Parkinson.” 2016. Doctoral Dissertation, Rennes 1. Accessed June 18, 2019. http://www.theses.fr/2016REN1S096.

MLA Handbook (7th Edition):

Jalloul, Nahed. “Development of a system of acquisition and movement analysis : application on Parkinson's disease : Développement d’un système d’acquisition et d’analyse du mouvement : application à la maladie de Parkinson.” 2016. Web. 18 Jun 2019.

Vancouver:

Jalloul N. Development of a system of acquisition and movement analysis : application on Parkinson's disease : Développement d’un système d’acquisition et d’analyse du mouvement : application à la maladie de Parkinson. [Internet] [Doctoral dissertation]. Rennes 1; 2016. [cited 2019 Jun 18]. Available from: http://www.theses.fr/2016REN1S096.

Council of Science Editors:

Jalloul N. Development of a system of acquisition and movement analysis : application on Parkinson's disease : Développement d’un système d’acquisition et d’analyse du mouvement : application à la maladie de Parkinson. [Doctoral Dissertation]. Rennes 1; 2016. Available from: http://www.theses.fr/2016REN1S096


Université Paris-Sud – Paris XI

29. Rodeghiero, Giacomo. Complex Anisotropic Panels and Fast Electromagnetic Imaging – CAP-FELIM : Panneaux complexes anisotropes et imagerie électromagnétique rapide.

Degree: Docteur es, Physique, 2015, Université Paris-Sud – Paris XI

 Le Contrôle Non Destructif (CND) de matériaux composites multicouches pour des problèmes de qualité, viabilité, sécurité et disponibilité des systèmes qui impliquent des pièces fabriquées… (more)

Subjects/Keywords: Problème de diffraction électromagnétique; Multicouches anisotrope et matériaux composites; Méthode d'imagerie MUltiple SIgnal Classification (MUSIC); Electromagnetic scattering problem; Multi-layered anisotropic and composite media; MUltiple SIgnal Classification (MUSIC) method

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Rodeghiero, G. (2015). Complex Anisotropic Panels and Fast Electromagnetic Imaging – CAP-FELIM : Panneaux complexes anisotropes et imagerie électromagnétique rapide. (Doctoral Dissertation). Université Paris-Sud – Paris XI. Retrieved from http://www.theses.fr/2015PA112223

Chicago Manual of Style (16th Edition):

Rodeghiero, Giacomo. “Complex Anisotropic Panels and Fast Electromagnetic Imaging – CAP-FELIM : Panneaux complexes anisotropes et imagerie électromagnétique rapide.” 2015. Doctoral Dissertation, Université Paris-Sud – Paris XI. Accessed June 18, 2019. http://www.theses.fr/2015PA112223.

MLA Handbook (7th Edition):

Rodeghiero, Giacomo. “Complex Anisotropic Panels and Fast Electromagnetic Imaging – CAP-FELIM : Panneaux complexes anisotropes et imagerie électromagnétique rapide.” 2015. Web. 18 Jun 2019.

Vancouver:

Rodeghiero G. Complex Anisotropic Panels and Fast Electromagnetic Imaging – CAP-FELIM : Panneaux complexes anisotropes et imagerie électromagnétique rapide. [Internet] [Doctoral dissertation]. Université Paris-Sud – Paris XI; 2015. [cited 2019 Jun 18]. Available from: http://www.theses.fr/2015PA112223.

Council of Science Editors:

Rodeghiero G. Complex Anisotropic Panels and Fast Electromagnetic Imaging – CAP-FELIM : Panneaux complexes anisotropes et imagerie électromagnétique rapide. [Doctoral Dissertation]. Université Paris-Sud – Paris XI; 2015. Available from: http://www.theses.fr/2015PA112223


Mississippi State University

30. Sumarsono, Alex. Low rank and sparse representation for hyperspectral imagery analysis.

Degree: PhD, Electrical and Computer Engineering, 2015, Mississippi State University

  This dissertation develops new techniques employing the Low-rank and Sparse Representation approaches to improve the performance of state-of-the-art algorithms in hyperspectral image analysis. The… (more)

Subjects/Keywords: estimation of the number of signal sources; supervised classification; unsupervised classification; target detection; anomaly detection; LRR; LRSR

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Sumarsono, A. (2015). Low rank and sparse representation for hyperspectral imagery analysis. (Doctoral Dissertation). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-10222015-201436/ ;

Chicago Manual of Style (16th Edition):

Sumarsono, Alex. “Low rank and sparse representation for hyperspectral imagery analysis.” 2015. Doctoral Dissertation, Mississippi State University. Accessed June 18, 2019. http://sun.library.msstate.edu/ETD-db/theses/available/etd-10222015-201436/ ;.

MLA Handbook (7th Edition):

Sumarsono, Alex. “Low rank and sparse representation for hyperspectral imagery analysis.” 2015. Web. 18 Jun 2019.

Vancouver:

Sumarsono A. Low rank and sparse representation for hyperspectral imagery analysis. [Internet] [Doctoral dissertation]. Mississippi State University; 2015. [cited 2019 Jun 18]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-10222015-201436/ ;.

Council of Science Editors:

Sumarsono A. Low rank and sparse representation for hyperspectral imagery analysis. [Doctoral Dissertation]. Mississippi State University; 2015. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-10222015-201436/ ;

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