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...

Full description

Bibliographic Details
Main Authors: Jou, Jau Jeng, 周昭政
Other Authors: S. F. Hsieh
Format: Others
Language:zh-TW
Published: 1998
Online Access:http://ndltd.ncl.edu.tw/handle/06757695918764883217
id ndltd-TW-086NCTU0435032
record_format oai_dc
spelling 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
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 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.
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 AT joujaujeng directpolezeroestimationforadaptiveechocancellation
AT zhōuzhāozhèng directpolezeroestimationforadaptiveechocancellation
AT joujaujeng yǐzhíjiējílíngdiǎngūjìfǎyòngyúshìyīngxìnghuíyīnxiāochú
AT zhōuzhāozhèng yǐzhíjiējílíngdiǎngūjìfǎyòngyúshìyīngxìnghuíyīnxiāochú
_version_ 1716837220422254592