Real-time Blind Separation and Deconvolution of Real-world signals
Real-time Blind Separation and Deconvolution of Real-world signals
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Date
2003
Authors
Mao, Yu
Advisor
Krishnaprasad, P.S.
Citation
DRUM DOI
Abstract
We present a reallistic and robust implementation of Blind Source Separation and Blind Deconvolution. The algorithm is developed from the idea of natraul gradient learning, wavlet filtering and denoising, and the characteristic of different sound source. Several hardware pieciecs are integrated, including a mobile robot, NT workstation and DSP chip to achieve the real time separation of real world signal. Besides, a method of judging the separation performance without knowing the mixing matrix ( mixing filter ) is proposed and verified.