Direct Pole/Zero Estimation for Adaptive Echo Cancellation
碩士 === 國立交通大學 === 電信工程研究所 === 86 === The problem of long filter length in adaptive FIR filters not onlyslows down the convergent speed but also increases the hardware cost.Adaptive IIR filters seem appropriate because they can provide infin...
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ndltd-TW-086NCTU04350322015-10-13T11:06:15Z http://ndltd.ncl.edu.tw/handle/06757695918764883217 Direct Pole/Zero Estimation for Adaptive Echo Cancellation 以直接極/零點估計法用於適應性回音消除 Jou, Jau Jeng 周昭政 碩士 國立交通大學 電信工程研究所 86 The problem of long filter length in adaptive FIR filters not onlyslows down the convergent speed but also increases the hardware cost.Adaptive IIR filters seem appropriate because they can provide infinitelylong response to approximatethe room impulse responses. But two disadvantages limitthe adaptive IIR filter to be widely used. One is the filter stability andthe other is local optimum in the error surface.Based on recursive prediction error algorithmwe will develop the state-based direct pole/zero (SBDPZ) estimation method.Unlike the traditional coefficients estimation method, SBDPZ canmonitor the poles' locations directly without finding the rootsof the denonimator polynomial.However, matrix operation is a serious computation load, so we deriveda simplified gradient method to reduce the computation complexity.Nonminimum phase system will also be investigated by further computationof the error gradient stage by stage.Finally, we use the combined method of the conventional NLMS and direct poleestimation to predict the zeros and poles, respectively, for acoustic echo cancellation.Therefore, we can not only keep the easier stability checkproperty but also reduce the computation complexity. S. F. Hsieh 謝世福 1998 學位論文 ; thesis 62 zh-TW |
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碩士 === 國立交通大學 === 電信工程研究所 === 86 === The problem of long filter length in adaptive FIR filters not
onlyslows down the convergent speed but also increases the
hardware cost.Adaptive IIR filters seem appropriate because they
can provide infinitelylong response to approximatethe room
impulse responses. But two disadvantages limitthe adaptive IIR
filter to be widely used. One is the filter stability andthe
other is local optimum in the error surface.Based on recursive
prediction error algorithmwe will develop the state-based direct
pole/zero (SBDPZ) estimation method.Unlike the traditional
coefficients estimation method, SBDPZ canmonitor the poles'
locations directly without finding the rootsof the denonimator
polynomial.However, matrix operation is a serious computation
load, so we deriveda simplified gradient method to reduce the
computation complexity.Nonminimum phase system will also be
investigated by further computationof the error gradient stage
by stage.Finally, we use the combined method of the conventional
NLMS and direct poleestimation to predict the zeros and poles,
respectively, for acoustic echo cancellation.Therefore, we can
not only keep the easier stability checkproperty but also reduce
the computation complexity.
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author2 |
S. F. Hsieh |
author_facet |
S. F. Hsieh Jou, Jau Jeng 周昭政 |
author |
Jou, Jau Jeng 周昭政 |
spellingShingle |
Jou, Jau Jeng 周昭政 Direct Pole/Zero Estimation for Adaptive Echo Cancellation |
author_sort |
Jou, Jau Jeng |
title |
Direct Pole/Zero Estimation for Adaptive Echo Cancellation |
title_short |
Direct Pole/Zero Estimation for Adaptive Echo Cancellation |
title_full |
Direct Pole/Zero Estimation for Adaptive Echo Cancellation |
title_fullStr |
Direct Pole/Zero Estimation for Adaptive Echo Cancellation |
title_full_unstemmed |
Direct Pole/Zero Estimation for Adaptive Echo Cancellation |
title_sort |
direct pole/zero estimation for adaptive echo cancellation |
publishDate |
1998 |
url |
http://ndltd.ncl.edu.tw/handle/06757695918764883217 |
work_keys_str_mv |
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