tailieunhanh - Báo cáo hóa học: " Research Article Non-Cancellation Multistage Kurtosis Maximization with Prewhitening for Blind Source Separation"

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 Non-Cancellation Multistage Kurtosis Maximization with Prewhitening for Blind Source Separation | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2009 Article ID 534137 13 pages doi 2009 534137 Research Article Non-Cancellation Multistage Kurtosis Maximization with Prewhitening for Blind Source Separation Xiang Chen 1 Chong-Yung Chi 2 Tsung-Hui Chang 2 and Chon-Wa Wong2 1 Wireless Center Research Institute of Information Technology Tsinghua University Beijing 100084 China 2 Department of Electrical Engineering Institute of Communications Engineering National TsingHua University Hsinchu 30013 Taiwan Correspondence should be addressed to Xiang Chen chenxiang98@ Received 23 September 2008 Revised 4 December 2008 Accepted 13 January 2009 Recommended by S. Makino Chi et al. recently proposed two effective non-cancellation multistage NCMS blind source separation algorithms one using the turbo source extraction algorithm TSEA called the NCMS-TSEA and the other using the fast kurtosis maximization algorithm FKMA called the NCMS-FKMA. Their computational complexity and performance heavily depend on the dimension of multisensor data that is number of sensors. This paper proposes the inclusion of the prewhitening processing in the NCMS-TSEA and NCMS-FKMA prior to source extraction. We come up with four improved algorithms referred to as the PNCMS-TSEA the PNCMS-FKMA the PNCMS-TSEA p and the PNCMS-FKMA p . Compared with the existing NCMS-TSEA and NCMS-FKMA the former two algorithms perform with significant computational complexity reduction and some performance improvements. The latter two algorithms are generalized counterparts of the former two algorithms with the single source extraction module replaced by a bank of source extraction modules in parallel at each stage. In spite of the same performance of PNCMS-TSEA and PNCMS-TSEA p PNCMS-FKMA and PNCMS-FKMA p the merit of this parallel source extraction structure lies in much shorter processing latency making the PNCMS-TSEA p and PNCMS-FKMA p well .