Mixed Audio Signal Separation Using Independent Component Analysis
| Main Author: | Folorunso O |
|---|---|
| Format: | Article Journal |
| Terbitan: |
, 2014
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/893557 |
Daftar Isi:
- Blind Source Separation (BSS) is a statistical approach to separating individual signals from an observed mixture of a group of signals, which relies on little assumptions of the signals and the mixing processes or media. This paper covers the general overview of Independent Component Analysis (ICA), an algorithm for achieving BSS techniques with application to real life activities. The ICA algorithm developed using MATLAB 2012, was used to separate mixture of audio signals recorded and it proved effective.