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You searched for subject:(Cyclostationary detection). Showing records 1 – 10 of 10 total matches.

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Virginia Tech

1. Davis, Joseph M. Second-order Cyclostationary Feature Based Detection of WiMAX Signals in Pulsed Noise Environments.

Degree: MS, Electrical Engineering, 2013, Virginia Tech

 Spectral coexistence and cooperative spectrum sharing techniques are vital to the continued development and proliferation of wireless communications systems. Government directives indicate that certain frequency… (more)

Subjects/Keywords: WiMAX; OFDM; Cyclostationary Detection; SVM

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

APA (6th Edition):

Davis, J. M. (2013). Second-order Cyclostationary Feature Based Detection of WiMAX Signals in Pulsed Noise Environments. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/47105

Chicago Manual of Style (16th Edition):

Davis, Joseph M. “Second-order Cyclostationary Feature Based Detection of WiMAX Signals in Pulsed Noise Environments.” 2013. Masters Thesis, Virginia Tech. Accessed June 16, 2019. http://hdl.handle.net/10919/47105.

MLA Handbook (7th Edition):

Davis, Joseph M. “Second-order Cyclostationary Feature Based Detection of WiMAX Signals in Pulsed Noise Environments.” 2013. Web. 16 Jun 2019.

Vancouver:

Davis JM. Second-order Cyclostationary Feature Based Detection of WiMAX Signals in Pulsed Noise Environments. [Internet] [Masters thesis]. Virginia Tech; 2013. [cited 2019 Jun 16]. Available from: http://hdl.handle.net/10919/47105.

Council of Science Editors:

Davis JM. Second-order Cyclostationary Feature Based Detection of WiMAX Signals in Pulsed Noise Environments. [Masters Thesis]. Virginia Tech; 2013. Available from: http://hdl.handle.net/10919/47105

2. Rehman, Atti Ur. Spectrum Sensing Techniques for 2-hop Cooperative Cognitive Radio Networks : Comparative Analysis.

Degree: 2012, , School of Engineering

Spectrum sensing is an important aspect of cognitive radio systems. In order to efficiently utilize the spectrum, the role of spectrum sensing is essential… (more)

Subjects/Keywords: Cognitive Radio; MIMO; Cooperative Communication; OSTBC; Energy Detection; Matched Filter Detetction; Cyclostationary Feature detection; Fuzzy Logic spectrum detection

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APA (6th Edition):

Rehman, A. U. (2012). Spectrum Sensing Techniques for 2-hop Cooperative Cognitive Radio Networks : Comparative Analysis. (Thesis). , School of Engineering. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3365

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):

Rehman, Atti Ur. “Spectrum Sensing Techniques for 2-hop Cooperative Cognitive Radio Networks : Comparative Analysis.” 2012. Thesis, , School of Engineering. Accessed June 16, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3365.

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

MLA Handbook (7th Edition):

Rehman, Atti Ur. “Spectrum Sensing Techniques for 2-hop Cooperative Cognitive Radio Networks : Comparative Analysis.” 2012. Web. 16 Jun 2019.

Vancouver:

Rehman AU. Spectrum Sensing Techniques for 2-hop Cooperative Cognitive Radio Networks : Comparative Analysis. [Internet] [Thesis]. , School of Engineering; 2012. [cited 2019 Jun 16]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3365.

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

Council of Science Editors:

Rehman AU. Spectrum Sensing Techniques for 2-hop Cooperative Cognitive Radio Networks : Comparative Analysis. [Thesis]. , School of Engineering; 2012. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3365

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


University of Manchester

3. Shen, Juei-Chin. Detection and estimation techniques in cognitive radio.

Degree: PhD, 2013, University of Manchester

 Faced with imminent spectrum scarcity largely due to inflexible licensed band arrangements, cognitive radio (CR) has been proposed to facilitate higher spectrum utilization by allowing… (more)

Subjects/Keywords: 621.384; Cognitve radio; Spectrum sensing; Channel estimation; Cyclostationary feature detection; Maximum ratio combining

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

APA (6th Edition):

Shen, J. (2013). Detection and estimation techniques in cognitive radio. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/detection-and-estimation-techniques-in-cognitive-radio(8d246e71-4484-4843-a1f4-4cce4504dd1c).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.607064

Chicago Manual of Style (16th Edition):

Shen, Juei-Chin. “Detection and estimation techniques in cognitive radio.” 2013. Doctoral Dissertation, University of Manchester. Accessed June 16, 2019. https://www.research.manchester.ac.uk/portal/en/theses/detection-and-estimation-techniques-in-cognitive-radio(8d246e71-4484-4843-a1f4-4cce4504dd1c).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.607064.

MLA Handbook (7th Edition):

Shen, Juei-Chin. “Detection and estimation techniques in cognitive radio.” 2013. Web. 16 Jun 2019.

Vancouver:

Shen J. Detection and estimation techniques in cognitive radio. [Internet] [Doctoral dissertation]. University of Manchester; 2013. [cited 2019 Jun 16]. Available from: https://www.research.manchester.ac.uk/portal/en/theses/detection-and-estimation-techniques-in-cognitive-radio(8d246e71-4484-4843-a1f4-4cce4504dd1c).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.607064.

Council of Science Editors:

Shen J. Detection and estimation techniques in cognitive radio. [Doctoral Dissertation]. University of Manchester; 2013. Available from: https://www.research.manchester.ac.uk/portal/en/theses/detection-and-estimation-techniques-in-cognitive-radio(8d246e71-4484-4843-a1f4-4cce4504dd1c).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.607064


University of New Mexico

4. Bkassiny, Mario. Wideband Spectrum Sensing and Signal Classification for Autonomous Self-Learning Cognitive Radios.

Degree: Electrical and Computer Engineering, 2014, University of New Mexico

 In this dissertation, we develop a novel cognitive radio (CR) architecture, referred to as the Radiobot [1], whose goals go beyond dynamic spectrum access (DSA)… (more)

Subjects/Keywords: Cognitive radio; Spectrum sensing; Signal classification; Machine learning; Dirichlet process; Reinforcement learning; Cyclostationary detection

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

APA (6th Edition):

Bkassiny, M. (2014). Wideband Spectrum Sensing and Signal Classification for Autonomous Self-Learning Cognitive Radios. (Doctoral Dissertation). University of New Mexico. Retrieved from http://hdl.handle.net/1928/24623

Chicago Manual of Style (16th Edition):

Bkassiny, Mario. “Wideband Spectrum Sensing and Signal Classification for Autonomous Self-Learning Cognitive Radios.” 2014. Doctoral Dissertation, University of New Mexico. Accessed June 16, 2019. http://hdl.handle.net/1928/24623.

MLA Handbook (7th Edition):

Bkassiny, Mario. “Wideband Spectrum Sensing and Signal Classification for Autonomous Self-Learning Cognitive Radios.” 2014. Web. 16 Jun 2019.

Vancouver:

Bkassiny M. Wideband Spectrum Sensing and Signal Classification for Autonomous Self-Learning Cognitive Radios. [Internet] [Doctoral dissertation]. University of New Mexico; 2014. [cited 2019 Jun 16]. Available from: http://hdl.handle.net/1928/24623.

Council of Science Editors:

Bkassiny M. Wideband Spectrum Sensing and Signal Classification for Autonomous Self-Learning Cognitive Radios. [Doctoral Dissertation]. University of New Mexico; 2014. Available from: http://hdl.handle.net/1928/24623


Brno University of Technology

5. Maňas, Ondřej. Implementace metody snímání spektra v obvodu FPGA .

Degree: 2015, Brno University of Technology

 Cílem této práce je návrh softwarového modelu a hardwerová implementece algoritmu snímání spektra založeného na cyklostacionární detekci. Navrhnutý detektor je plně implementován do obvodu FPGA… (more)

Subjects/Keywords: Snímání spektra; Detektor; Cyklostacionární detektor; FPGA; Spectral sensing; Detector; Cyclostationary detection; FPGA

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APA (6th Edition):

Maňas, O. (2015). Implementace metody snímání spektra v obvodu FPGA . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/42873

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):

Maňas, Ondřej. “Implementace metody snímání spektra v obvodu FPGA .” 2015. Thesis, Brno University of Technology. Accessed June 16, 2019. http://hdl.handle.net/11012/42873.

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

MLA Handbook (7th Edition):

Maňas, Ondřej. “Implementace metody snímání spektra v obvodu FPGA .” 2015. Web. 16 Jun 2019.

Vancouver:

Maňas O. Implementace metody snímání spektra v obvodu FPGA . [Internet] [Thesis]. Brno University of Technology; 2015. [cited 2019 Jun 16]. Available from: http://hdl.handle.net/11012/42873.

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

Council of Science Editors:

Maňas O. Implementace metody snímání spektra v obvodu FPGA . [Thesis]. Brno University of Technology; 2015. Available from: http://hdl.handle.net/11012/42873

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


Halmstad University

6. Mirza, Asif. Performance Analysis of Cyclostationary Sensing in Cognitive Radio Networks.

Degree: Computer and Electrical Engineering (IDE), 2011, Halmstad University

  Cognitive radio is one of the modern techniques for wireless communication systems to utilize the unused spread spectrum effectively. This novel paradigm makes wireless… (more)

Subjects/Keywords: Cyclostationary Sensing in Cognitive Radio; BPSK/QPSK Signal detection; Computer Engineering; Datorteknik; Information Systems; Systemvetenskap, informationssystem och informatik; Human Computer Interaction; Människa-datorinteraktion (interaktionsdesign)

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APA (6th Edition):

Mirza, A. (2011). Performance Analysis of Cyclostationary Sensing in Cognitive Radio Networks. (Thesis). Halmstad University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-15405

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):

Mirza, Asif. “Performance Analysis of Cyclostationary Sensing in Cognitive Radio Networks.” 2011. Thesis, Halmstad University. Accessed June 16, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-15405.

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

MLA Handbook (7th Edition):

Mirza, Asif. “Performance Analysis of Cyclostationary Sensing in Cognitive Radio Networks.” 2011. Web. 16 Jun 2019.

Vancouver:

Mirza A. Performance Analysis of Cyclostationary Sensing in Cognitive Radio Networks. [Internet] [Thesis]. Halmstad University; 2011. [cited 2019 Jun 16]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-15405.

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

Council of Science Editors:

Mirza A. Performance Analysis of Cyclostationary Sensing in Cognitive Radio Networks. [Thesis]. Halmstad University; 2011. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-15405

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

7. Shen, Juei-Chin. Detection and Estimation Techniques in Cognitive Radio.

Degree: 2013, University of Manchester

 Faced with imminent spectrum scarcity largely due to inflexible licensed band arrangements, cognitive radio (CR) has been proposed to facilitate higher spectrum utilization by allowing… (more)

Subjects/Keywords: Cognitve radio; Spectrum sensing; Channel estimation; Cyclostationary feature detection; Maximum ratio combining

detection 0.8 0.7 Pf=10−1 0.6 Pf=10−2 0.5 Pf=10−3 0.4 Pf=10−4 0.3 Pf=10−5 0.2 0.1 0 0… …1 0.9 probability of detection 0.8 0.7 0.6 0.5 0.4 Pf=10−1 0.3 Pf=10−2 Pf=10−3 0.2… …tr✉ ❙❡♥s✐♥❣ 1 0.9 probability of detection 0.8 0.7 Pf=10−1 0.6 Pf=10−2 0.5 P =10−3… …r❣② ❞❡t❡❝t✐♦♥ ✐♥ ❛♥ ❆❲●◆ ❝❤❛♥♥❡❧✳ 1 0.9 probability of detection 0.8 0.7 0.6 0.5 Pf=10… 

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

APA (6th Edition):

Shen, J. (2013). Detection and Estimation Techniques in Cognitive Radio. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:212926

Chicago Manual of Style (16th Edition):

Shen, Juei-Chin. “Detection and Estimation Techniques in Cognitive Radio.” 2013. Doctoral Dissertation, University of Manchester. Accessed June 16, 2019. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:212926.

MLA Handbook (7th Edition):

Shen, Juei-Chin. “Detection and Estimation Techniques in Cognitive Radio.” 2013. Web. 16 Jun 2019.

Vancouver:

Shen J. Detection and Estimation Techniques in Cognitive Radio. [Internet] [Doctoral dissertation]. University of Manchester; 2013. [cited 2019 Jun 16]. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:212926.

Council of Science Editors:

Shen J. Detection and Estimation Techniques in Cognitive Radio. [Doctoral Dissertation]. University of Manchester; 2013. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:212926

8. Khalaf, Ziad. Contributions à l'étude de détection des bandes libres dans le contexte de la radio intelligente. : Contributions to the study of free bands detection in the context of Cognitive Radio.

Degree: Docteur es, Télécommunications (STIC), 2013, Supélec

Les systèmes de communications sans fil ne cessent de se multiplier pour devenir incontournables de nos jours. Cette croissance cause une augmentation de la demande… (more)

Subjects/Keywords: Cognitive Radio; Dynamic Spectrum Access (DSA); Spectrum sensing; Compressed sensing; Sparsity; Energy detector, radiometer; Detection features, cyclostationary; Orthogonal Matching Pursuit (OMP); Radio Intelligente; L'accès dynamique au spectre; Détection des bandes libres; Acquisition compressée; Parcimonie; Détecteur d'énergie, radiomètre; Cyclostationarité; Décomposition orthogonale propre; 378.242

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APA (6th Edition):

Khalaf, Z. (2013). Contributions à l'étude de détection des bandes libres dans le contexte de la radio intelligente. : Contributions to the study of free bands detection in the context of Cognitive Radio. (Doctoral Dissertation). Supélec. Retrieved from http://www.theses.fr/2013SUPL0005

Chicago Manual of Style (16th Edition):

Khalaf, Ziad. “Contributions à l'étude de détection des bandes libres dans le contexte de la radio intelligente. : Contributions to the study of free bands detection in the context of Cognitive Radio.” 2013. Doctoral Dissertation, Supélec. Accessed June 16, 2019. http://www.theses.fr/2013SUPL0005.

MLA Handbook (7th Edition):

Khalaf, Ziad. “Contributions à l'étude de détection des bandes libres dans le contexte de la radio intelligente. : Contributions to the study of free bands detection in the context of Cognitive Radio.” 2013. Web. 16 Jun 2019.

Vancouver:

Khalaf Z. Contributions à l'étude de détection des bandes libres dans le contexte de la radio intelligente. : Contributions to the study of free bands detection in the context of Cognitive Radio. [Internet] [Doctoral dissertation]. Supélec; 2013. [cited 2019 Jun 16]. Available from: http://www.theses.fr/2013SUPL0005.

Council of Science Editors:

Khalaf Z. Contributions à l'étude de détection des bandes libres dans le contexte de la radio intelligente. : Contributions to the study of free bands detection in the context of Cognitive Radio. [Doctoral Dissertation]. Supélec; 2013. Available from: http://www.theses.fr/2013SUPL0005


Brno University of Technology

9. Lehocký, Jiří. Model detekce přizpůsobeným filtrem .

Degree: 2010, Brno University of Technology

 Tato práce popisuje základní metody sledování spektra a jejich využití. Pozornost je věnována především detekci přizpůsobeným filtrem, metodě s vysokým ziskem zpracování v krátkém čase.… (more)

Subjects/Keywords: Sledování spektra; chirp signál; Barkerovy sekvence; detektor energie; detekce charakteristických znaků cyklostacionarity; přizpůsobený filtr; pilotní signály; OFDM.; Spectrum sensing; Chirp signal; Barker sequences; Energy detector; Cyclostationary feature detection; Matched filter; Pilot signals; OFDM.

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APA (6th Edition):

Lehocký, J. (2010). Model detekce přizpůsobeným filtrem . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/16361

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):

Lehocký, Jiří. “Model detekce přizpůsobeným filtrem .” 2010. Thesis, Brno University of Technology. Accessed June 16, 2019. http://hdl.handle.net/11012/16361.

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

MLA Handbook (7th Edition):

Lehocký, Jiří. “Model detekce přizpůsobeným filtrem .” 2010. Web. 16 Jun 2019.

Vancouver:

Lehocký J. Model detekce přizpůsobeným filtrem . [Internet] [Thesis]. Brno University of Technology; 2010. [cited 2019 Jun 16]. Available from: http://hdl.handle.net/11012/16361.

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

Council of Science Editors:

Lehocký J. Model detekce přizpůsobeným filtrem . [Thesis]. Brno University of Technology; 2010. Available from: http://hdl.handle.net/11012/16361

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

10. Qu, Yang. Software-Defined Radio based Blind Hierarchical Modulation Detector via Second-OrderCyclostationary and Fourth-Order Cumulant.

Degree: MSEgr, Electrical Engineering, 2013, Wright State University

 Modulation detection is very important to many communication and electronic warfare applications. Recent developments in cognitive radio (CR) and dynamic spectrum access (DSA) network have… (more)

Subjects/Keywords: Technology; Information Technology; Engineering; Electrical Engineering; Modulation Detection; software-defined radio; second-order cyclostationary; fourth-order cumulant; usrp; gnuradio; blind; automatic; hierarchical.

…including the second-order cyclostationary based modulation detection and fourth-order cumulant… …The circumstance of Board Tektronix AWG7062B and USRP Signal Detection Interface about… …Spectrum Plot . . . . . . . Signal Detection Interface about Waterfall Plot . . . . . . . Signal… …Detection Interface about Time Domain . . . . . . . First Level of Hierarchical Modulation… …Introduction 1.1 Modulation Detection With the rapid development of information technology, wireless… 

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APA (6th Edition):

Qu, Y. (2013). Software-Defined Radio based Blind Hierarchical Modulation Detector via Second-OrderCyclostationary and Fourth-Order Cumulant. (Masters Thesis). Wright State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=wright1369413765

Chicago Manual of Style (16th Edition):

Qu, Yang. “Software-Defined Radio based Blind Hierarchical Modulation Detector via Second-OrderCyclostationary and Fourth-Order Cumulant.” 2013. Masters Thesis, Wright State University. Accessed June 16, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=wright1369413765.

MLA Handbook (7th Edition):

Qu, Yang. “Software-Defined Radio based Blind Hierarchical Modulation Detector via Second-OrderCyclostationary and Fourth-Order Cumulant.” 2013. Web. 16 Jun 2019.

Vancouver:

Qu Y. Software-Defined Radio based Blind Hierarchical Modulation Detector via Second-OrderCyclostationary and Fourth-Order Cumulant. [Internet] [Masters thesis]. Wright State University; 2013. [cited 2019 Jun 16]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=wright1369413765.

Council of Science Editors:

Qu Y. Software-Defined Radio based Blind Hierarchical Modulation Detector via Second-OrderCyclostationary and Fourth-Order Cumulant. [Masters Thesis]. Wright State University; 2013. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=wright1369413765

.