Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
BLIND SOURCE SEPARATION USING FREQUENCY DOMAIN INDEPENDENT COMPONENT ANALYSIS
Blekinge Institute of Technology, School of Engineering, Department of Signal Processing.
Blekinge Institute of Technology, School of Engineering, Department of Signal Processing.
2007 (English)Independent thesis Advanced level (degree of Master (One Year))Student thesisAlternative title
BLIND SOURCE SEPARATION USING FREQUENCY DOMAIN INDEPENDENT COMPONENT ANALYSIS (Swedish)
Abstract [en]

Our thesis work focuses on Frequency-domain Blind Source Separation (BSS) in which the received mixed signals are converted into the frequency domain and Independent Component Analysis (ICA) is applied to instantaneous mixtures at each frequency bin. Computational complexity is also reduced by using this method. We also investigate the famous problem associated with Frequency-Domain Blind Source Separation using ICA referred to as the Permutation and Scaling ambiguities, using methods proposed by some researchers. This is our main target in this project; to solve the permutation and scaling ambiguities in real time applications

Place, publisher, year, edition, pages
2007. , 56 p.
Keyword [en]
Independent Component Analysis, Blind Source Seperation, Fourier Transform, Short Time Fourier Transform
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:bth-1312Local ID: oai:bth.se:arkivexEF0C05EC86B6BD04C1257383000932CDOAI: oai:DiVA.org:bth-1312DiVA: diva2:828542
Uppsok
Technology
Supervisors
Note
Gozie: modebelu2001@yahoo.com Anayo: ezeudea@yahoo.comAvailable from: 2015-05-21 Created: 2007-10-29 Last updated: 2015-06-30Bibliographically approved

Open Access in DiVA

fulltext(1275 kB)294 downloads
File information
File name FULLTEXT01.pdfFile size 1275 kBChecksum SHA-512
c349407937bdc84a7ada0e3c8b1a398b63fa62150ecd6207a0db004a21b0387798eea567713fbbacf3fd9cfd8bfefc11e1ec447902d6fde37a07d029ef4dbfeb
Type fulltextMimetype application/pdf

By organisation
Department of Signal Processing
Signal Processing

Search outside of DiVA

GoogleGoogle Scholar
Total: 294 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: 46 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf