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 / Gozie: modebelu2001@yahoo.com Anayo: ezeudea@yahoo.com
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:bth-1312 |
| Date | January 2007 |
| Creators | E., Okwelume Gozie, Kingsley, Ezeude Anayo |
| Publisher | Blekinge Tekniska Högskola, Avdelningen för signalbehandling, Blekinge Tekniska Högskola, Avdelningen för signalbehandling |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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