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Báo cáo hóa học: " Filtered-X Affine Projection Algorithms for Active Noise Control Using Volterra Filters"
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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: Filtered-X Affine Projection Algorithms for Active Noise Control Using Volterra Filters | EURASIP Journal on Applied Signal Processing 2004 12 1841-1848 2004 Hindawi Publishing Corporation Filtered-X Affine Projection Algorithms for Active Noise Control Using Volterra Filters Alberto Carini Institute of Science and Information Technologies University of Urbino 61029 Urbino Italy Email carini@sti.uniurb.it Giovanni L. Sicuranza Department of Electrical Electronic and Computer Engineering University of Trieste 34127 Trieste Italy Email sicuranza@univ.trieste.it Received 1 September 2003 Revised 22 December 2003 We consider the use of adaptive Volterra filters implemented in the form of multichannel filter banks as nonlinear active noise controllers. In particular we discuss the derivation of filtered-X affine projection algorithms for homogeneous quadratic filters. According to the multichannel approach it is then easy to pass from these algorithms to those of a generic Volterra filter. It is shown in the paper that the AP technique offers better convergence and tracking capabilities than the classical LMS and NLMS algorithms usually applied in nonlinear active noise controllers with a limited complexity increase. This paper extends in two ways the content of a previous contribution published in Proc. IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing NSIP 03 Grado Italy June 2003. First of all a general adaptation algorithm valid for any order L of affine projections is presented. Secondly a more complete set of experiments is reported. In particular the effects of using multichannel filter banks with a reduced number of channels are investigated and relevant results are shown. Keywords and phrases active noise control adaptive Volterra filters affine projection algorithms. 1. INTRODUCTION Methods for active noise control are nowadays intensively studied and have already provided promising applications in vibration and acoustic noise control tasks. The initial activities originated in the field of control engineering 1 2 while in recent years