A new convergence statistic indicator and the application of variable step-size NLMS algorithm

碩士 === 元智大學 === 電機工程學系 === 99 === Variable step-size algorithm may along with time change the step-size parameter, increase filter’s convergence performance, but make a lot of trouble to set the parameters. In this paper, we proposed a new convergence statistic indicator and the application of varia...

Full description

Bibliographic Details
Main Authors: Jia-Wei Chen, 陳家緯
Other Authors: Junghsi Lee
Format: Others
Language:zh-TW
Published: 2011
Online Access:http://ndltd.ncl.edu.tw/handle/94578636478825910145
id ndltd-TW-099YZU05442051
record_format oai_dc
spelling ndltd-TW-099YZU054420512016-04-13T04:17:17Z http://ndltd.ncl.edu.tw/handle/94578636478825910145 A new convergence statistic indicator and the application of variable step-size NLMS algorithm 一種新的收斂統計指標及其可變步階演算法之應用 Jia-Wei Chen 陳家緯 碩士 元智大學 電機工程學系 99 Variable step-size algorithm may along with time change the step-size parameter, increase filter’s convergence performance, but make a lot of trouble to set the parameters. In this paper, we proposed a new convergence statistic indicator and the application of variable step-size NLMS algorithm, and with the NLMS algorithm and other scholars proposed non parametric variable step-size NLMS algorithm on simulations, and then analyzes how to select the appropriate threshold of convergence statistical indicators, in order to have both fast convergence and good steady-state error. Junghsi Lee 李仲溪 2011 學位論文 ; thesis 87 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 元智大學 === 電機工程學系 === 99 === Variable step-size algorithm may along with time change the step-size parameter, increase filter’s convergence performance, but make a lot of trouble to set the parameters. In this paper, we proposed a new convergence statistic indicator and the application of variable step-size NLMS algorithm, and with the NLMS algorithm and other scholars proposed non parametric variable step-size NLMS algorithm on simulations, and then analyzes how to select the appropriate threshold of convergence statistical indicators, in order to have both fast convergence and good steady-state error.
author2 Junghsi Lee
author_facet Junghsi Lee
Jia-Wei Chen
陳家緯
author Jia-Wei Chen
陳家緯
spellingShingle Jia-Wei Chen
陳家緯
A new convergence statistic indicator and the application of variable step-size NLMS algorithm
author_sort Jia-Wei Chen
title A new convergence statistic indicator and the application of variable step-size NLMS algorithm
title_short A new convergence statistic indicator and the application of variable step-size NLMS algorithm
title_full A new convergence statistic indicator and the application of variable step-size NLMS algorithm
title_fullStr A new convergence statistic indicator and the application of variable step-size NLMS algorithm
title_full_unstemmed A new convergence statistic indicator and the application of variable step-size NLMS algorithm
title_sort new convergence statistic indicator and the application of variable step-size nlms algorithm
publishDate 2011
url http://ndltd.ncl.edu.tw/handle/94578636478825910145
work_keys_str_mv AT jiaweichen anewconvergencestatisticindicatorandtheapplicationofvariablestepsizenlmsalgorithm
AT chénjiāwěi anewconvergencestatisticindicatorandtheapplicationofvariablestepsizenlmsalgorithm
AT jiaweichen yīzhǒngxīndeshōuliǎntǒngjìzhǐbiāojíqíkěbiànbùjiēyǎnsuànfǎzhīyīngyòng
AT chénjiāwěi yīzhǒngxīndeshōuliǎntǒngjìzhǐbiāojíqíkěbiànbùjiēyǎnsuànfǎzhīyīngyòng
AT jiaweichen newconvergencestatisticindicatorandtheapplicationofvariablestepsizenlmsalgorithm
AT chénjiāwěi newconvergencestatisticindicatorandtheapplicationofvariablestepsizenlmsalgorithm
_version_ 1718222631613759488