hig.sePublications
Change search
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
Comparison of STFT and Wavelet Transform inTime-frequency Analysis
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences.
2015 (English)Independent thesis Basic level (degree of Bachelor), 180 HE creditsStudent thesis
Abstract [en]

The wavelet transform technique has been frequently used in time-frequency analysis as a relatively new concept. Compared to the traditional technique Short-time Fourier Transform (STFT), which is theoretically based on the Fourier transform, the wavelet transform has its advantage on better locality in time and frequency domain, but not significant as the solutions in spectrum. Wavelet transform has dynamic ‘window functions’ to represent time-frequency positions of raw signals, and can get better resolutions in time-frequency analysis. In this report, we shall first briefly introduce fuzzy sets and related concepts. And then we will evaluate their similarities and differences by not only the theoretic comparisons between STFT and wavelet transform, but also the process of the de-nosing to a noisy recorded signal. 

Place, publisher, year, edition, pages
2015. , 30 p.
Keyword [en]
short time Fourier transform, wavelet transform
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:hig:diva-19072OAI: oai:DiVA.org:hig-19072DiVA: diva2:793176
Subject / course
Electronics
Educational program
Electronics – bachelor’s programme (in eng)
Presentation
2015-01-29, 11:320, Högskolan i Gävle, Gävle, 13:00 (English)
Supervisors
Examiners
Available from: 2015-03-16 Created: 2015-03-06 Last updated: 2015-03-16Bibliographically approved

Open Access in DiVA

fulltext(1125 kB)282 downloads
File information
File name FULLTEXT01.pdfFile size 1125 kBChecksum SHA-512
f5895d7d362927d5cf251715424a450450f74555ce1cfd37760861033d2c46d7b1183bd5288a82f51b16d6fc0e68a1c87cf5ab5fd8eea3a85fc3071da0a23e4d
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
Sun, Pu
By organisation
Department of Electronics, Mathematics and Natural Sciences
Signal Processing

Search outside of DiVA

GoogleGoogle Scholar
Total: 282 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 374 hits
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