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Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Exploiting Narrowband Efficiency for Broadband Convolutive Blind Source Separation | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2007 Article ID 16381 9 pages doi 10.1155 2007 16381 Research Article Exploiting Narrowband Efficiency for Broadband Convolutive Blind Source Separation Robert Aichner Herbert Buchner and Walter Kellermann Multimedia Communications and Signal Processing University of Erlangen-Nuremberg Cauerstrafe 7 91058 Erlangen Germany Received 28 September 2005 Revised 28 March 2006 Accepted 11 June 2006 Recommended by Frank Ehlers Based on a recently presented generic broadband blind source separation BSS algorithm for convolutive mixtures we propose in this paper a novel algorithm combining advantages of broadband algorithms with the computational efficiency of narrowband techniques. By selective application of the Szego theorem which relates properties of Toeplitz and circulant matrices a new normalization is derived as a special case of the generic broadband algorithm. This results in a computationally efficient and fast converging algorithm without introducing typical narrowband problems such as the internal permutation problem or circularity effects. Moreover a novel regularization method for the generic broadband algorithm is proposed and subsequently also derived for the proposed algorithm. Experimental results in realistic acoustic environments show improved performance of the novel algorithm compared to previous approximations. Copyright 2007 Robert Aichner et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1. INTRODUCTION Blind source separation BSS refers to the problem of recovering signals from several observed linear mixtures 1 . In this paper we deal with the convolutive mixing case as encountered for example in acoustic environments. Therefore we are interested in finding a corresponding demixing system where .
