期刊名称：International Journal of Computer Science and Communication Networks
电子版ISSN：2249-5789
出版年度：2011
卷号：1
期号：3
页码：360-366
出版社：Technopark Publications
摘要：An approach to multi-channel blind deconvolution is developed, which uses an adaptive filter that performs blind source separation in the Fourier space. The approach keeps (during the learning process) the same permutation and provides appropriate scaling of components for all frequency bins in the frequency space. Experiments indicate that Generalized Laplace Distribution can be used effectively to blind deconvolution of convolution mixtures of sources in Fourier space compared to the conventional Laplacian and Gaussian function
