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You searched for subject:(Adaptive signal analysis). Showing records 1 – 13 of 13 total matches.

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University of Pennsylvania

1. Wu, Zhengwei. Algorithms for Blind Equalization Based on Relative Gradient and Toeplitz Constraints.

Degree: 2016, University of Pennsylvania

 Blind Equalization (BE) refers to the problem of recovering the source symbol sequence from a signal received through a channel in the presence of additive… (more)

Subjects/Keywords: Adaptive filter; Blind equalization; Blind source separation; Independent component analysis; Signal processing; Electrical and Electronics

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

APA (6th Edition):

Wu, Z. (2016). Algorithms for Blind Equalization Based on Relative Gradient and Toeplitz Constraints. (Thesis). University of Pennsylvania. Retrieved from https://repository.upenn.edu/edissertations/2108

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):

Wu, Zhengwei. “Algorithms for Blind Equalization Based on Relative Gradient and Toeplitz Constraints.” 2016. Thesis, University of Pennsylvania. Accessed October 28, 2020. https://repository.upenn.edu/edissertations/2108.

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

MLA Handbook (7th Edition):

Wu, Zhengwei. “Algorithms for Blind Equalization Based on Relative Gradient and Toeplitz Constraints.” 2016. Web. 28 Oct 2020.

Vancouver:

Wu Z. Algorithms for Blind Equalization Based on Relative Gradient and Toeplitz Constraints. [Internet] [Thesis]. University of Pennsylvania; 2016. [cited 2020 Oct 28]. Available from: https://repository.upenn.edu/edissertations/2108.

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

Council of Science Editors:

Wu Z. Algorithms for Blind Equalization Based on Relative Gradient and Toeplitz Constraints. [Thesis]. University of Pennsylvania; 2016. Available from: https://repository.upenn.edu/edissertations/2108

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


Duke University

2. Xu, Jieren. Adaptive Data Representation and Analysis .

Degree: 2018, Duke University

  This dissertation introduces and analyzes algorithms that aim to adaptively handle complex datasets arising in the real-world applications. It contains two major parts. The… (more)

Subjects/Keywords: Applied mathematics; Medical imaging; adaptive data analysis; mode decomposition; non-parametric regression; signal processing; statistical learning; structural connectivity analysis

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APA (6th Edition):

Xu, J. (2018). Adaptive Data Representation and Analysis . (Thesis). Duke University. Retrieved from http://hdl.handle.net/10161/17503

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):

Xu, Jieren. “Adaptive Data Representation and Analysis .” 2018. Thesis, Duke University. Accessed October 28, 2020. http://hdl.handle.net/10161/17503.

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

MLA Handbook (7th Edition):

Xu, Jieren. “Adaptive Data Representation and Analysis .” 2018. Web. 28 Oct 2020.

Vancouver:

Xu J. Adaptive Data Representation and Analysis . [Internet] [Thesis]. Duke University; 2018. [cited 2020 Oct 28]. Available from: http://hdl.handle.net/10161/17503.

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

Council of Science Editors:

Xu J. Adaptive Data Representation and Analysis . [Thesis]. Duke University; 2018. Available from: http://hdl.handle.net/10161/17503

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


Université de Grenoble

3. Yelisyeyev, Andriy. Interface cerveau-machine à partir d'enregistrement électrique cortical : Brain-Computer Interface with cortical electrical activity recording.

Degree: Docteur es, Modèles, méthodes et algorithmes pour la Biologie, la Santé et l’Environnement, 2011, Université de Grenoble

Une Interface Cerveau-Machine (ICM) est un système permettant de transformer l'activité neurale du cerveau en une commande d'effecteurs externes. Cette étude correspond à une étape… (more)

Subjects/Keywords: Interface cerveau-machine; Électrocorticographie; Traitement du signal; Multi-voies analyse; Modélisation adaptative; Ondelettes; Brain–computer interface; Electrocorticography; Signal processing; Multi-way analysis; Adaptive modeling; Wavelets; 610

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APA (6th Edition):

Yelisyeyev, A. (2011). Interface cerveau-machine à partir d'enregistrement électrique cortical : Brain-Computer Interface with cortical electrical activity recording. (Doctoral Dissertation). Université de Grenoble. Retrieved from http://www.theses.fr/2011GRENS038

Chicago Manual of Style (16th Edition):

Yelisyeyev, Andriy. “Interface cerveau-machine à partir d'enregistrement électrique cortical : Brain-Computer Interface with cortical electrical activity recording.” 2011. Doctoral Dissertation, Université de Grenoble. Accessed October 28, 2020. http://www.theses.fr/2011GRENS038.

MLA Handbook (7th Edition):

Yelisyeyev, Andriy. “Interface cerveau-machine à partir d'enregistrement électrique cortical : Brain-Computer Interface with cortical electrical activity recording.” 2011. Web. 28 Oct 2020.

Vancouver:

Yelisyeyev A. Interface cerveau-machine à partir d'enregistrement électrique cortical : Brain-Computer Interface with cortical electrical activity recording. [Internet] [Doctoral dissertation]. Université de Grenoble; 2011. [cited 2020 Oct 28]. Available from: http://www.theses.fr/2011GRENS038.

Council of Science Editors:

Yelisyeyev A. Interface cerveau-machine à partir d'enregistrement électrique cortical : Brain-Computer Interface with cortical electrical activity recording. [Doctoral Dissertation]. Université de Grenoble; 2011. Available from: http://www.theses.fr/2011GRENS038

4. Digulescu, Angela. Caractérisation des phénomènes dynamiques à l’aide de l’analyse du signal dans les diagrammes des phases : Characterization of dynamic phenomena based on the signal analysis in phase diagram representation domain.

Degree: Docteur es, Signal image parole telecoms, 2017, Grenoble Alpes; Académie Technique Militaire (Bucarest)

La déformation des signaux au long de leur trajet de propagation est un des plus importants facteurs qui doivent être considérés à la réception. Ces… (more)

Subjects/Keywords: Deformation du signal; Diagramme de phase; Analyse de recurrence; Ondes basées sur l’espace des phases; Detection et localisation; Caracterisation du signal; Signal deformation; Phase diagram; Recurrence Plot Analysis; Phase diagram adaptive waveform; Detection and localization; Signal characterization; 620

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APA (6th Edition):

Digulescu, A. (2017). Caractérisation des phénomènes dynamiques à l’aide de l’analyse du signal dans les diagrammes des phases : Characterization of dynamic phenomena based on the signal analysis in phase diagram representation domain. (Doctoral Dissertation). Grenoble Alpes; Académie Technique Militaire (Bucarest). Retrieved from http://www.theses.fr/2017GREAT011

Chicago Manual of Style (16th Edition):

Digulescu, Angela. “Caractérisation des phénomènes dynamiques à l’aide de l’analyse du signal dans les diagrammes des phases : Characterization of dynamic phenomena based on the signal analysis in phase diagram representation domain.” 2017. Doctoral Dissertation, Grenoble Alpes; Académie Technique Militaire (Bucarest). Accessed October 28, 2020. http://www.theses.fr/2017GREAT011.

MLA Handbook (7th Edition):

Digulescu, Angela. “Caractérisation des phénomènes dynamiques à l’aide de l’analyse du signal dans les diagrammes des phases : Characterization of dynamic phenomena based on the signal analysis in phase diagram representation domain.” 2017. Web. 28 Oct 2020.

Vancouver:

Digulescu A. Caractérisation des phénomènes dynamiques à l’aide de l’analyse du signal dans les diagrammes des phases : Characterization of dynamic phenomena based on the signal analysis in phase diagram representation domain. [Internet] [Doctoral dissertation]. Grenoble Alpes; Académie Technique Militaire (Bucarest); 2017. [cited 2020 Oct 28]. Available from: http://www.theses.fr/2017GREAT011.

Council of Science Editors:

Digulescu A. Caractérisation des phénomènes dynamiques à l’aide de l’analyse du signal dans les diagrammes des phases : Characterization of dynamic phenomena based on the signal analysis in phase diagram representation domain. [Doctoral Dissertation]. Grenoble Alpes; Académie Technique Militaire (Bucarest); 2017. Available from: http://www.theses.fr/2017GREAT011

5. Lidbe, Abhay Dnyaneshwar. Multi-perspective system-wide analyses of adaptive traffic signal control systems using microsimulation and contemporary data sources.

Degree: 2016, University of Alabama

 The primary function of traffic signals is to assign the right of way to vehicular and pedestrian traffic at intersections. Effective traffic signal system reduces… (more)

Subjects/Keywords: Electronic Thesis or Dissertation;  – thesis; Transportation; Civil engineering; Operations research; Adaptive Traffic Signal Control (ATCS); Life-Cycle Analysis (LCA); Metaheuristic; Microsimulation; Sydney Coordinated Adaptive Traffic System (SCATS)

…97 CHAPTER 5. LIFE-CYCLE BENEFIT-COST ANALYSIS OF ADAPTIVE SIGNAL CONTROL USING SYSTEM-WIDE… …69 ix CHAPTER 4. ANALYSIS TECHNIQUES FOR EVALUATING THE IMPLEMENTATION OF ADAPTIVE… …Effective System (RHODES) is a traffic adaptive signal system that optimizes the real… …variations in traffic. 1.2.4 InSync InSync is an adaptive traffic signal developed by Rhythm… …methodologies (both operational and economical) for adaptive traffic signal control that… 

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APA (6th Edition):

Lidbe, A. D. (2016). Multi-perspective system-wide analyses of adaptive traffic signal control systems using microsimulation and contemporary data sources. (Thesis). University of Alabama. Retrieved from http://purl.lib.ua.edu/163910

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):

Lidbe, Abhay Dnyaneshwar. “Multi-perspective system-wide analyses of adaptive traffic signal control systems using microsimulation and contemporary data sources.” 2016. Thesis, University of Alabama. Accessed October 28, 2020. http://purl.lib.ua.edu/163910.

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

MLA Handbook (7th Edition):

Lidbe, Abhay Dnyaneshwar. “Multi-perspective system-wide analyses of adaptive traffic signal control systems using microsimulation and contemporary data sources.” 2016. Web. 28 Oct 2020.

Vancouver:

Lidbe AD. Multi-perspective system-wide analyses of adaptive traffic signal control systems using microsimulation and contemporary data sources. [Internet] [Thesis]. University of Alabama; 2016. [cited 2020 Oct 28]. Available from: http://purl.lib.ua.edu/163910.

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

Council of Science Editors:

Lidbe AD. Multi-perspective system-wide analyses of adaptive traffic signal control systems using microsimulation and contemporary data sources. [Thesis]. University of Alabama; 2016. Available from: http://purl.lib.ua.edu/163910

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

6. Estrada, Gerardo. Improving In Vivo Two Photon Microscopy Without Adaptive Optics.

Degree: 2015, Florida Atlantic University

Summary: Two photon microscopy is one of the fastest growing methods of in-vivo imaging of the brain. It has the capability of imaging structures on… (more)

Subjects/Keywords: Cellular signal transmission  – Measurement; Image analysis; Imaging systems in medicine; Membranes (Biology)  – Imaging; Neurons  – Imaging; Optics, Adaptive

…the signal to noise ratio assures that the measurement is coming from the focal spot [1… …principle that introduced the error. Finally we develop a numerical analysis that predicts… …now, the analysis of microscopy has been done mostly using ray optics. This has been… …direction in which the original laser was focused with the signal recieved from such point to… …ideal conditions for the system. 2.4 ADAPTIVE OPTICS Adaptive optics have been investigated… 

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APA (6th Edition):

Estrada, G. (2015). Improving In Vivo Two Photon Microscopy Without Adaptive Optics. (Thesis). Florida Atlantic University. Retrieved from http://purl.flvc.org/fau/fd/FA00004495

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):

Estrada, Gerardo. “Improving In Vivo Two Photon Microscopy Without Adaptive Optics.” 2015. Thesis, Florida Atlantic University. Accessed October 28, 2020. http://purl.flvc.org/fau/fd/FA00004495.

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

MLA Handbook (7th Edition):

Estrada, Gerardo. “Improving In Vivo Two Photon Microscopy Without Adaptive Optics.” 2015. Web. 28 Oct 2020.

Vancouver:

Estrada G. Improving In Vivo Two Photon Microscopy Without Adaptive Optics. [Internet] [Thesis]. Florida Atlantic University; 2015. [cited 2020 Oct 28]. Available from: http://purl.flvc.org/fau/fd/FA00004495.

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

Council of Science Editors:

Estrada G. Improving In Vivo Two Photon Microscopy Without Adaptive Optics. [Thesis]. Florida Atlantic University; 2015. Available from: http://purl.flvc.org/fau/fd/FA00004495

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


Queensland University of Technology

7. Rankine, Luke. Newborn EEG seizure detection using adaptive time-frequency signal processing.

Degree: 2006, Queensland University of Technology

 Dysfunction in the central nervous system of the neonate is often first identified through seizures. The diffculty in detecting clinical seizures, which involves the observation… (more)

Subjects/Keywords: adaptive; atomic decomposition; automatic detection; electroencephalogram; fractal dimension; matching pursuit; neonate; newborn; nonlinear; nonstationary; optimal window scale; quadratic time-frequency distribution; seizure; simulation; spike; structural complexity; time-frequency signal analysis; time-frequency signal synthesis

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APA (6th Edition):

Rankine, L. (2006). Newborn EEG seizure detection using adaptive time-frequency signal processing. (Thesis). Queensland University of Technology. Retrieved from http://eprints.qut.edu.au/16200/

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):

Rankine, Luke. “Newborn EEG seizure detection using adaptive time-frequency signal processing.” 2006. Thesis, Queensland University of Technology. Accessed October 28, 2020. http://eprints.qut.edu.au/16200/.

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

MLA Handbook (7th Edition):

Rankine, Luke. “Newborn EEG seizure detection using adaptive time-frequency signal processing.” 2006. Web. 28 Oct 2020.

Vancouver:

Rankine L. Newborn EEG seizure detection using adaptive time-frequency signal processing. [Internet] [Thesis]. Queensland University of Technology; 2006. [cited 2020 Oct 28]. Available from: http://eprints.qut.edu.au/16200/.

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

Council of Science Editors:

Rankine L. Newborn EEG seizure detection using adaptive time-frequency signal processing. [Thesis]. Queensland University of Technology; 2006. Available from: http://eprints.qut.edu.au/16200/

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


Universidade Estadual de Campinas

8. Suyama, Ricardo. Proposta de metodos de separação cega de fontes para misturas convolutivas e não-lineares: Proposal of blind source separation methods for convolutive and nonlinear mixtures.

Degree: 2007, Universidade Estadual de Campinas

 Abstract: The problem of blind source separation (BSS) has attracted the attention of agrowing number of researchers, mostly due to its potential applications in a… (more)

Subjects/Keywords: Processamento de sinais; Processamento de sinal adaptativo; Teoria da informação; Digital signal processing; Adaptive signal processing; Information theory; Blind source separation; Independent component analysis; Convolutive mistures; Nonlinear mixtures

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APA (6th Edition):

Suyama, R. (2007). Proposta de metodos de separação cega de fontes para misturas convolutivas e não-lineares: Proposal of blind source separation methods for convolutive and nonlinear mixtures. (Thesis). Universidade Estadual de Campinas. Retrieved from http://repositorio.unicamp.br/jspui/handle/REPOSIP/260846

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):

Suyama, Ricardo. “Proposta de metodos de separação cega de fontes para misturas convolutivas e não-lineares: Proposal of blind source separation methods for convolutive and nonlinear mixtures.” 2007. Thesis, Universidade Estadual de Campinas. Accessed October 28, 2020. http://repositorio.unicamp.br/jspui/handle/REPOSIP/260846.

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

MLA Handbook (7th Edition):

Suyama, Ricardo. “Proposta de metodos de separação cega de fontes para misturas convolutivas e não-lineares: Proposal of blind source separation methods for convolutive and nonlinear mixtures.” 2007. Web. 28 Oct 2020.

Vancouver:

Suyama R. Proposta de metodos de separação cega de fontes para misturas convolutivas e não-lineares: Proposal of blind source separation methods for convolutive and nonlinear mixtures. [Internet] [Thesis]. Universidade Estadual de Campinas; 2007. [cited 2020 Oct 28]. Available from: http://repositorio.unicamp.br/jspui/handle/REPOSIP/260846.

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

Council of Science Editors:

Suyama R. Proposta de metodos de separação cega de fontes para misturas convolutivas e não-lineares: Proposal of blind source separation methods for convolutive and nonlinear mixtures. [Thesis]. Universidade Estadual de Campinas; 2007. Available from: http://repositorio.unicamp.br/jspui/handle/REPOSIP/260846

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


University of Cambridge

9. Lynch, Michael Richard. Adaptive techniques in signal processing and connectionist models.

Degree: PhD, 1990, University of Cambridge

 This thesis covers the development of a series of new methods and the application of adaptive filter theory which are combined to produce a generalised… (more)

Subjects/Keywords: Signal Processing; Adaptive; Digital Filters; Image Processing; Correctionist Models; Neural Networks; Non-linear Systems; Volterra Analysis; Conjugate Gradients; Least Mean Squares; Pattern Recognition; Image Registration; Non-linear filters

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APA (6th Edition):

Lynch, M. R. (1990). Adaptive techniques in signal processing and connectionist models. (Doctoral Dissertation). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/244884https://www.repository.cam.ac.uk/bitstream/1810/244884/2/license.txt ; https://www.repository.cam.ac.uk/bitstream/1810/244884/5/Lynch16449.pdf.txt ; https://www.repository.cam.ac.uk/bitstream/1810/244884/6/Lynch16449.pdf.jpg

Chicago Manual of Style (16th Edition):

Lynch, Michael Richard. “Adaptive techniques in signal processing and connectionist models.” 1990. Doctoral Dissertation, University of Cambridge. Accessed October 28, 2020. https://www.repository.cam.ac.uk/handle/1810/244884https://www.repository.cam.ac.uk/bitstream/1810/244884/2/license.txt ; https://www.repository.cam.ac.uk/bitstream/1810/244884/5/Lynch16449.pdf.txt ; https://www.repository.cam.ac.uk/bitstream/1810/244884/6/Lynch16449.pdf.jpg.

MLA Handbook (7th Edition):

Lynch, Michael Richard. “Adaptive techniques in signal processing and connectionist models.” 1990. Web. 28 Oct 2020.

Vancouver:

Lynch MR. Adaptive techniques in signal processing and connectionist models. [Internet] [Doctoral dissertation]. University of Cambridge; 1990. [cited 2020 Oct 28]. Available from: https://www.repository.cam.ac.uk/handle/1810/244884https://www.repository.cam.ac.uk/bitstream/1810/244884/2/license.txt ; https://www.repository.cam.ac.uk/bitstream/1810/244884/5/Lynch16449.pdf.txt ; https://www.repository.cam.ac.uk/bitstream/1810/244884/6/Lynch16449.pdf.jpg.

Council of Science Editors:

Lynch MR. Adaptive techniques in signal processing and connectionist models. [Doctoral Dissertation]. University of Cambridge; 1990. Available from: https://www.repository.cam.ac.uk/handle/1810/244884https://www.repository.cam.ac.uk/bitstream/1810/244884/2/license.txt ; https://www.repository.cam.ac.uk/bitstream/1810/244884/5/Lynch16449.pdf.txt ; https://www.repository.cam.ac.uk/bitstream/1810/244884/6/Lynch16449.pdf.jpg


University of Cambridge

10. Lynch, Michael Richard. Adaptive techniques in signal processing and connectionist models.

Degree: PhD, 1990, University of Cambridge

 This thesis covers the development of a series of new methods and the application of adaptive filter theory which are combined to produce a generalised… (more)

Subjects/Keywords: 621.3192; Signal Processing; Adaptive; Digital Filters; Image Processing; Correctionist Models; Neural Networks; Non-linear Systems; Volterra Analysis; Conjugate Gradients; Least Mean Squares; Pattern Recognition; Image Registration; Non-linear filters

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

APA (6th Edition):

Lynch, M. R. (1990). Adaptive techniques in signal processing and connectionist models. (Doctoral Dissertation). University of Cambridge. Retrieved from https://doi.org/10.17863/CAM.14054 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.358757

Chicago Manual of Style (16th Edition):

Lynch, Michael Richard. “Adaptive techniques in signal processing and connectionist models.” 1990. Doctoral Dissertation, University of Cambridge. Accessed October 28, 2020. https://doi.org/10.17863/CAM.14054 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.358757.

MLA Handbook (7th Edition):

Lynch, Michael Richard. “Adaptive techniques in signal processing and connectionist models.” 1990. Web. 28 Oct 2020.

Vancouver:

Lynch MR. Adaptive techniques in signal processing and connectionist models. [Internet] [Doctoral dissertation]. University of Cambridge; 1990. [cited 2020 Oct 28]. Available from: https://doi.org/10.17863/CAM.14054 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.358757.

Council of Science Editors:

Lynch MR. Adaptive techniques in signal processing and connectionist models. [Doctoral Dissertation]. University of Cambridge; 1990. Available from: https://doi.org/10.17863/CAM.14054 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.358757

11. ΜΠΕΡΜΠΕΡΙΔΗΣ, ΚΩΝΣΤΑΝΤΙΝΟΣ. ΓΡΗΓΟΡΟΙ ΑΛΓΟΡΙΘΜΟΙ ΓΙΑ ΤΗΝ ΤΑΥΤΟΠΟΙΗΣΗ ΣΥΣΤΗΜΑΤΩΝ ΜΕ ΓΡΑΜΜΙΚΗ ΦΑΣΗ.

Degree: 1990, Πανεπιστήμιο Πατρών; University of Patras

FIR FILTERS WITH LINEAR PHASE ARE WIDELY USED IN MANY APPLICATIONS SUCH AS COMMUNICATIONS, SPECTRAL ANALYSIS, IMAGE PROCESSING, SPEECH PROCESSING, BIOENGINEERING ETC. THE LS ESTIMATE… (more)

Subjects/Keywords: ADAPTIVE FILTERING; AUTOREGRESSIVE SPECTRAL ANALYSIS; Digital signal processing; Fast algorithms; LINEAR PHASEFILTERING; SPECTRAL LINE ESTIMATION; System identification; Αναγνώριση συστημάτων; ΑΥΤΟΠΡΟΣΑΡΜΟΖΟΜΕΝΟ ΦΙΛΤΡΑΡΙΣΜΑ; Γρήγοροι αλγόριθμοι; ΕΚΤΙΜΗΣΗ ΦΑΣΜΑΤΙΚΩΝ ΓΡΑΜΜΩΝ; ΕΚΤΙΜΗΣΗ ΦΑΣΜΑΤΟΣ ΙΣΧΥΟΣ; ΦΙΛΤΡΑ ΓΡΑΜΜΙΚΗΣ ΦΑΣΗΣ; Ψυφιακή επεξεργασία σημάτων

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APA (6th Edition):

ΜΠΕΡΜΠΕΡΙΔΗΣ, . (1990). ΓΡΗΓΟΡΟΙ ΑΛΓΟΡΙΘΜΟΙ ΓΙΑ ΤΗΝ ΤΑΥΤΟΠΟΙΗΣΗ ΣΥΣΤΗΜΑΤΩΝ ΜΕ ΓΡΑΜΜΙΚΗ ΦΑΣΗ. (Thesis). Πανεπιστήμιο Πατρών; University of Patras. Retrieved from http://hdl.handle.net/10442/hedi/1670

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):

ΜΠΕΡΜΠΕΡΙΔΗΣ, ΚΩΝΣΤΑΝΤΙΝΟΣ. “ΓΡΗΓΟΡΟΙ ΑΛΓΟΡΙΘΜΟΙ ΓΙΑ ΤΗΝ ΤΑΥΤΟΠΟΙΗΣΗ ΣΥΣΤΗΜΑΤΩΝ ΜΕ ΓΡΑΜΜΙΚΗ ΦΑΣΗ.” 1990. Thesis, Πανεπιστήμιο Πατρών; University of Patras. Accessed October 28, 2020. http://hdl.handle.net/10442/hedi/1670.

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

MLA Handbook (7th Edition):

ΜΠΕΡΜΠΕΡΙΔΗΣ, ΚΩΝΣΤΑΝΤΙΝΟΣ. “ΓΡΗΓΟΡΟΙ ΑΛΓΟΡΙΘΜΟΙ ΓΙΑ ΤΗΝ ΤΑΥΤΟΠΟΙΗΣΗ ΣΥΣΤΗΜΑΤΩΝ ΜΕ ΓΡΑΜΜΙΚΗ ΦΑΣΗ.” 1990. Web. 28 Oct 2020.

Vancouver:

ΜΠΕΡΜΠΕΡΙΔΗΣ . ΓΡΗΓΟΡΟΙ ΑΛΓΟΡΙΘΜΟΙ ΓΙΑ ΤΗΝ ΤΑΥΤΟΠΟΙΗΣΗ ΣΥΣΤΗΜΑΤΩΝ ΜΕ ΓΡΑΜΜΙΚΗ ΦΑΣΗ. [Internet] [Thesis]. Πανεπιστήμιο Πατρών; University of Patras; 1990. [cited 2020 Oct 28]. Available from: http://hdl.handle.net/10442/hedi/1670.

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

Council of Science Editors:

ΜΠΕΡΜΠΕΡΙΔΗΣ . ΓΡΗΓΟΡΟΙ ΑΛΓΟΡΙΘΜΟΙ ΓΙΑ ΤΗΝ ΤΑΥΤΟΠΟΙΗΣΗ ΣΥΣΤΗΜΑΤΩΝ ΜΕ ΓΡΑΜΜΙΚΗ ΦΑΣΗ. [Thesis]. Πανεπιστήμιο Πατρών; University of Patras; 1990. Available from: http://hdl.handle.net/10442/hedi/1670

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

12. Muševič, Sašo. Non-stationary sinusoidal analysis.

Degree: Departament de Tecnologies de la Informació i les Comunicacions, 2013, Universitat Pompeu Fabra

 Many types of everyday signals fall into the non-stationary sinusoids category. A large family of such signals represent audio, including acoustic/electronic, pitched/transient instrument sounds, human… (more)

Subjects/Keywords: Sinusoidal analysis; Non-stationary sinusoid; Amplitude modulation; Frequency modulation; Polynomial phase; Generalised sinusoid; Complex polynomial amplitude modulated complex sinusoid with exponential damping; cPACE, cPACED, PACE; Overapping sinusoids; Non-linear analysis; Kernel based analysis; Linear systems of equations; Non-linear systems of equations; Multivariate polynomial systems; Energy reallocation; Reassignment; Generalised reassignment; Distribution derivative; Derivative method; Sinusoidal parameter estimation; Sound analysis; High-resolution analysis; Transient analysis; Time-frequency distributions; Chebyshev polynomial; Adaptive signal analysis; Gamma function; 62

signal processing and system analysis. Accurate estimation of sinusoidal parameters is one of… …and other fields non-related to acoustics such as seismic signal analysis (Bjerhammar… …and a mixture of all: music. Analysis of such signals has been in the focus of the research… …the most common digital signal processing tasks and thus represents an indispensable… …for the analysis of non-stationary sinusoids. This dissertation substantially contributes to… 

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

APA (6th Edition):

Muševič, S. (2013). Non-stationary sinusoidal analysis. (Thesis). Universitat Pompeu Fabra. Retrieved from http://hdl.handle.net/10803/123809

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):

Muševič, Sašo. “Non-stationary sinusoidal analysis.” 2013. Thesis, Universitat Pompeu Fabra. Accessed October 28, 2020. http://hdl.handle.net/10803/123809.

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

MLA Handbook (7th Edition):

Muševič, Sašo. “Non-stationary sinusoidal analysis.” 2013. Web. 28 Oct 2020.

Vancouver:

Muševič S. Non-stationary sinusoidal analysis. [Internet] [Thesis]. Universitat Pompeu Fabra; 2013. [cited 2020 Oct 28]. Available from: http://hdl.handle.net/10803/123809.

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

Council of Science Editors:

Muševič S. Non-stationary sinusoidal analysis. [Thesis]. Universitat Pompeu Fabra; 2013. Available from: http://hdl.handle.net/10803/123809

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


Queensland University of Technology

13. Hussain, Zahir M. Adaptive instantaneous frequency estimation: Techniques and algorithms.

Degree: 2002, Queensland University of Technology

 This thesis deals with the problem of the instantaneous frequency (IF) estimation of sinusoidal signals. This topic plays significant role in signal processing and communications.… (more)

Subjects/Keywords: Signal processing; Time series analysis; Frequency spectra; instantaneous frequency; stationary signals; non-stationary signals; communication systems; multicomponent signals; frequency modulated (FM) signals; frequency shift keying (FSK) signals; sinusoidal signals; analytic signals; digital phase-locked loops; Hilbert transform; time-delay; phase shifter; difference equation; sinusoidal digital phase locked loops; digital tanlock loop; tanlock; lock range; independent locking; digital filters; nonuniform sampling; additive Gaussian noise; signal-to-noise-ratio (SNR); locking speed; phase error detector; Cramer-Rao bounds; time-frequency analysis; ambiguity function; time-frequency distribution (TFD); the quadratic class; resolution; cross-terms; Fourier transform; estimation; amplitude estimation; instantaneous frequency estimation; mean square error; simulation; algorithms; adaptive algorithms; adaptive estimation; bias; variance; asymptotic analysis; thesis; doctoral

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

APA (6th Edition):

Hussain, Z. M. (2002). Adaptive instantaneous frequency estimation: Techniques and algorithms. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/36137/

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):

Hussain, Zahir M. “Adaptive instantaneous frequency estimation: Techniques and algorithms.” 2002. Thesis, Queensland University of Technology. Accessed October 28, 2020. https://eprints.qut.edu.au/36137/.

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

MLA Handbook (7th Edition):

Hussain, Zahir M. “Adaptive instantaneous frequency estimation: Techniques and algorithms.” 2002. Web. 28 Oct 2020.

Vancouver:

Hussain ZM. Adaptive instantaneous frequency estimation: Techniques and algorithms. [Internet] [Thesis]. Queensland University of Technology; 2002. [cited 2020 Oct 28]. Available from: https://eprints.qut.edu.au/36137/.

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

Council of Science Editors:

Hussain ZM. Adaptive instantaneous frequency estimation: Techniques and algorithms. [Thesis]. Queensland University of Technology; 2002. Available from: https://eprints.qut.edu.au/36137/

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

.