- Title:
- Flexible Multichannel Blind Deconvolution, An Investigation
- Presenter:
- Liangsuo Ma
- Date:
- July 11, 2003
- Abstract:
- We consider the issue of devising a flexible nonlinear function for multichannel blind deconvolution. In particular, we consider the underlying assumption of the source probability density functions. We will consider two cases, when the source probability density functions are assumed to be unimodal, and multimodal respectively. In the unimodal case, there are two approaches: Pearson function and generalized exponential function. In the multimodal case, there are three approaches: mixture of Gaussian functions, mixture of Pearson functions,and mixture of generalized exponential functions. It is demonstrated through an illustrating example that the assumption on the source probability density functions gives rise to different performances of source separation algorithms for the multichannel blind deconvolution problem.
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