Abstract
The independent component analysis (ICA) method proposed in this study uses FastICA algorithm to improve the quality of the original recordings, which can be used as valuable pre-processing technique in signal processing methods. Initially, the ill-conditioned original audio recordings are separated using ICA methods and later, they are reconstructed using modified un-mixing matrix. The simulation results showed huge improvement of the original signal after reconstruction. The new method is found to be good because the accuracy is more compared to others in terms of the variance of the Gain matrix. The proposed method has potential applications in audio and biosignal processing techniques.
Original language | English |
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Pages (from-to) | 899-906 |
Number of pages | 8 |
Journal | International Journal of Electronics |
Volume | 99 |
Issue number | 7 |
DOIs | |
Publication status | Published - 2012 |
Keywords
- algorithms
- blind source separation
- digital electronics
- signal processing