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Báo cáo hóa học: " Research Article Underdetermined Blind Source Separation in Echoic Environments Using DESPRIT Thomas Melia and Scott Rickard"

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 Underdetermined Blind Source Separation in Echoic Environments Using DESPRIT Thomas Melia and Scott Rickard | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2007 Article ID 86484 19 pages doi 10.1155 2007 86484 Research Article Underdetermined Blind Source Separation in Echoic Environments Using DESPRIT Thomas Melia and Scott Rickard Sparse Signal Processing Group University College Dublin Belfield Dublin 4 Ireland Received 1 October 2005 Revised 4 April 2006 Accepted 27 May 2006 Recommended by Andrzej Cichocki The DUET blind source separation algorithm can demix an arbitrary number of speech signals using M 2 anechoic mixtures of the signals. DUET however is limited in that it relies upon source signals which are mixed in an anechoic environment and which are sufficiently sparse such that it is assumed that only one source is active at a given time frequency point. The DUET-ESPRIT DESPRIT blind source separation algorithm extends DUET to situations where M 2 sparsely echoic mixtures of an arbitrary number of sources overlap in time frequency. This paper outlines the development of the DESPRIT method and demonstrates its properties through various experiments conducted on synthetic and real world mixtures. Copyright 2007 T. Melia and S. Rickard. 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 The cocktail party phenomenon illustrates the ability of the human auditory system to separate out a single speech source from the cacophony of a crowded room using only two sensors with no prior knowledge of the speakers or the channel presented by the room. Efforts to implement a receiver which emulates this sophistication are referred to as blind source separation techniques 1-3 . The DUET blind source separation method 4 can demix an arbitrary number of speech source signals given just 2 anechoic mixtures of the sources providing that the time-frequency .