Báo cáo hóa học: " Research Article Detection-Guided Fast Affine Projection Channel Estimator for Speech Applications"

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 Detection-Guided Fast Affine Projection Channel Estimator for Speech Applications | Hindawi Publishing Corporation EURASIP Journal on Audio Speech and Music Processing Volume 2007 Article ID 71495 13 pages doi 2007 71495 Research Article Detection-Guided Fast Affine Projection Channel Estimator for Speech Applications Yan Wu Jennifer 1 John Homer 2 Geert Rombouts 3 and Marc Moonen3 1 Canberra Research Laboratory National ICT Australia and Research School of Information Science and Engineering The Australian National University Canberra ACT 2612 Australia 2 School of Information Technology and Electrical Engineering The University of Queensland Brisbane QLD 4072 Australia 3 Departement Elektrotechniek Katholieke Universiteit Leuven ESAT SCD Kasteelpark Arenberg 10 30001 Heverlee Belgium Received 9 July 2006 Revised 16 November 2006 Accepted 18 February 2007 Recommended by Kutluyil Dogancay In various adaptive estimation applications such as acoustic echo cancellation within teleconferencing systems the input signal is a highly correlated speech. This in general leads to extremely slow convergence of the NLMS adaptive FIR estimator. As a result for such applications the affine projection algorithm APA or the low-complexity version the fast affine projection FAP algorithm is commonly employed instead of the NLMS algorithm. In such applications the signal propagation channel may have a relatively low-dimensional impulse response structure that is the number m of active or significant taps within the discrete-time modelled channel impulse response is much less than the overall tap length n of the channel impulse response. For such cases we investigate the inclusion of an active-parameter detection-guided concept within the fast affine projection FIR channel estimator. Simulation results indicate that the proposed detection-guided fast affine projection channel estimator has improved convergence speed and has lead to better steady-state performance than the standard fast affine projection channel estimator especially in the important case of .

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