Adaptive Filter Research

碩士 === 中原大學 === 電子工程學系 === 84 === In the areas of radar , communication and biomedical engineer- ing , it is desired to enhance or notch sinusoidal signal from broadband noise . This task is usually achieved by adaptive line enhancer (ALE)...

Full description

Bibliographic Details
Main Authors: Jou ,Iong-Chin, 周雍欽
Other Authors: Chang,Yuh-Huu
Format: Others
Language:zh-TW
Published: 1996
Online Access:http://ndltd.ncl.edu.tw/handle/90256019297485384728
id ndltd-TW-084CYCU0428025
record_format oai_dc
spelling ndltd-TW-084CYCU04280252016-07-15T04:13:06Z http://ndltd.ncl.edu.tw/handle/90256019297485384728 Adaptive Filter Research 自適性濾波器研究 Jou ,Iong-Chin 周雍欽 碩士 中原大學 電子工程學系 84 In the areas of radar , communication and biomedical engineer- ing , it is desired to enhance or notch sinusoidal signal from broadband noise . This task is usually achieved by adaptive line enhancer (ALE) or adaptive notch filter (ANF).Generally speaking , the IIR filter is more computationally efficient and has bett- er statistical performance than the FIR filter for this noisy sinusoidal signal detection.Generally speaking , the IIR filter is more computationally efficient and has better statistical performance than the FIR filter for this noisy sinusoidal sig- nal detection. Unfortunately most higher order IIR filter have a number of drawback , such as : convergence to biased or local minimum solution,slower convergence and difficult to analyze. The propo- sed adaptive first order IIR filter not only overcome these pro- blem but also isn't affected by initial weight selecting . It is inherently stable with high convergence rate. Asymptotically valid expressions for the bias and mean square error are derived for proposed algorithm . The analysis and sim- ulation of this dissertation verifies the excellent performance of the proposed structure , that is , small bias and mean square error in frequency estimate of the sinusoidal signal . Chang,Yuh-Huu 張豫虎 1996 學位論文 ; thesis 52 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 中原大學 === 電子工程學系 === 84 === In the areas of radar , communication and biomedical engineer- ing , it is desired to enhance or notch sinusoidal signal from broadband noise . This task is usually achieved by adaptive line enhancer (ALE) or adaptive notch filter (ANF).Generally speaking , the IIR filter is more computationally efficient and has bett- er statistical performance than the FIR filter for this noisy sinusoidal signal detection.Generally speaking , the IIR filter is more computationally efficient and has better statistical performance than the FIR filter for this noisy sinusoidal sig- nal detection. Unfortunately most higher order IIR filter have a number of drawback , such as : convergence to biased or local minimum solution,slower convergence and difficult to analyze. The propo- sed adaptive first order IIR filter not only overcome these pro- blem but also isn't affected by initial weight selecting . It is inherently stable with high convergence rate. Asymptotically valid expressions for the bias and mean square error are derived for proposed algorithm . The analysis and sim- ulation of this dissertation verifies the excellent performance of the proposed structure , that is , small bias and mean square error in frequency estimate of the sinusoidal signal .
author2 Chang,Yuh-Huu
author_facet Chang,Yuh-Huu
Jou ,Iong-Chin
周雍欽
author Jou ,Iong-Chin
周雍欽
spellingShingle Jou ,Iong-Chin
周雍欽
Adaptive Filter Research
author_sort Jou ,Iong-Chin
title Adaptive Filter Research
title_short Adaptive Filter Research
title_full Adaptive Filter Research
title_fullStr Adaptive Filter Research
title_full_unstemmed Adaptive Filter Research
title_sort adaptive filter research
publishDate 1996
url http://ndltd.ncl.edu.tw/handle/90256019297485384728
work_keys_str_mv AT jouiongchin adaptivefilterresearch
AT zhōuyōngqīn adaptivefilterresearch
AT jouiongchin zìshìxìnglǜbōqìyánjiū
AT zhōuyōngqīn zìshìxìnglǜbōqìyánjiū
_version_ 1718349769515991040