Inlämning av Examensarbete / Submission of Thesis

Okwelume Gozie E.; Ezeude Anayo Kingsley , pp. 56. TEK/avd. för signalbehandling, 2007.

The work

Författare / Author: Okwelume Gozie E., Ezeude Anayo Kingsley
Titel / Title: BLIND SOURCE SEPARATION USING FREQUENCY DOMAIN INDEPENDENT COMPONENT ANALYSIS
Översatt titel / Translated title: BLIND SOURCE SEPARATION USING FREQUENCY DOMAIN INDEPENDENT COMPONENT ANALYSIS
Abstrakt Abstract:

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

Ämnesord / Subject: Signalbehandling - Signal Processing

Nyckelord / Keywords: Independent Component Analysis, Blind Source Seperation, Fourier Transform, Short Time Fourier Transform

Publication info

Dokument id / Document id:
Program:/ Programme Magisterprogram i Elektroteknik / Master of Science in Electrical Engineering
Registreringsdatum / Date of registration: 10/30/2007
Uppsatstyp / Type of thesis: D-Uppsats/Magister/Master

Context

Handledare / Supervisor: Nedelko Grbic (Associate Professor)
nedelko.grbic@bth.se
Examinator / Examiner: Nedelko Grbic (Associate Professor)
Organisation / Organisation: Blekinge Institute of Technology
Institution / School: TEK/avd. för signalbehandling
S-372 25 Ronneby
+46 455 38 50 00
Anmärkningar / Comments:

Gozie: modebelu2001@yahoo.com
Anayo: ezeudea@yahoo.com

Files & Access

Bifogad uppsats fil(er) / Files attached: thesispages.doc (2555 kB, öppnas i nytt fönster)