Karthikeyan, G and Sahoo, Radharaman (2007) Independent component analysis based blind signal separation for mixed speech signal. BTech thesis.
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Abstract
Independent component analysis (ICA) is a new technique to statistically extract independent components from the observed multidimensional mixture of data. Many successful examples of ICA application in the filed of signal processing are reported recently. Independent component analysis (ICA) was originally developed to deal with problems that are closely related to cocktail- party problems.ICA is a powerful and useful statistical tool for extracting independent source given only observed data that are mixtures of the unknown sources.
| Item Type: | Thesis (BTech) |
|---|---|
| Uncontrolled Keywords: | ICA |
| Subjects: | Engineering and Technology > Electrical Engineering > Image Processing |
| Divisions: | Engineering and Technology > Department of Electrical Engineering |
| ID Code: | 4198 |
| Deposited By: | Hemanta Biswal |
| Deposited On: | 25 Jun 2012 10:12 |
| Last Modified: | 20 Dec 2013 11:47 |
| Supervisor(s): | Patra, D |
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