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Signal Classification Implemented by Wavelet Analysis and Support Vector Machine
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences.
2014 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

In this thesis, a method for signal classification has been developed and implemented on the platform of Matlab and Libsvm, which combines the techniques of wavelet analysis and support vector machine. The whole process is divided into three stages i.e. Signal Generation, Feature Extraction and Classification. There are 6 types of modulated signals i.e. BPSK, QPSK, FSK, ASK, 4ASK and QAM generated and decomposed by Biorthogonal wavelet to obtain the detail components from each signal. The energy level of each detail components are calculated and forms a feature vector representing the identification of the signal itself prepared to be classified in the vector space of SVM classifier. The classification results shows that the performance of classification works well if the signal to noise ratio (SNR) above 13dB in the range from 1dB to 30dB, which indicates it is feasible working under a certain noise level to classify those defined 6 types of modulated signals. Furthermore, we analyze the reasons that cause the different performance of the signals on the classification test and also discuss the limitation and the possible development of the method in the end.

Place, publisher, year, edition, pages
2014. , p. 51
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:hig:diva-16458OAI: oai:DiVA.org:hig-16458DiVA, id: diva2:708799
Subject / course
Electronics
Educational program
Electronics/Telecommunications – master’s programme (two years) (swe or eng)
Supervisors
Examiners
Available from: 2014-04-07 Created: 2014-03-29 Last updated: 2014-04-07Bibliographically approved

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fulltext(1576 kB)394 downloads
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Department of Electronics, Mathematics and Natural Sciences
Telecommunications

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard-cite-them-right
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • sv-SE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • de-DE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf