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)...
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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 |
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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 .
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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 |
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1718349769515991040 |