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A study on adaptive filtering for no...
~
Jiang, Danhua.
A study on adaptive filtering for noise and echo cancellation.
紀錄類型:
書目-電子資源 : 單行本
正題名/作者:
A study on adaptive filtering for noise and echo cancellation./
作者:
Jiang, Danhua.
面頁冊數:
88 p.
附註:
Source: Masters Abstracts International, Volume: 44-01, page: 0472.
Contained By:
Masters Abstracts International44-01.
標題:
Engineering, Electronics and Electrical. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MR04941
ISBN:
9780494049419
A study on adaptive filtering for noise and echo cancellation.
Jiang, Danhua.
A study on adaptive filtering for noise and echo cancellation.
- 88 p.
Source: Masters Abstracts International, Volume: 44-01, page: 0472.
Thesis (M.A.Sc.)--University of Windsor (Canada), 2005.
The objective of this thesis is to investigate the adaptive filtering technique on the application of noise and echo cancellation. As a relatively new area in Digital Signal Processing (DSP), adaptive filters have gained a lot of popularity in the past several decades due to the advantages that they can deal with time-varying digital system and they do not require a priori knowledge of the statistics of the information to be processed. Adaptive filters have been successfully applied in a great many areas such as communications, speech processing, image processing, and noise/echo cancellation.
ISBN: 9780494049419Subjects--Topical Terms:
170927
Engineering, Electronics and Electrical.
A study on adaptive filtering for noise and echo cancellation.
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Source: Masters Abstracts International, Volume: 44-01, page: 0472.
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Thesis (M.A.Sc.)--University of Windsor (Canada), 2005.
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The objective of this thesis is to investigate the adaptive filtering technique on the application of noise and echo cancellation. As a relatively new area in Digital Signal Processing (DSP), adaptive filters have gained a lot of popularity in the past several decades due to the advantages that they can deal with time-varying digital system and they do not require a priori knowledge of the statistics of the information to be processed. Adaptive filters have been successfully applied in a great many areas such as communications, speech processing, image processing, and noise/echo cancellation.
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Since Bernard Widrow and his colleagues introduced adaptive filter in the 1960s, many researchers have been working on noise/echo cancellation by using adaptive filters with different algorithms. Among these algorithms, normalized least mean square (NLMS) provides an efficient and robust approach, in which the model parameters are obtained on the base of mean square error (MSE). The choice of a structure for the adaptive filters also plays an important role on the performance of the algorithm as a whole. For this purpose, two different filter structures: finite impulse response (FIR) filter and infinite impulse response (IIR) filter have been studied. The adaptive processes with two kinds of filter structures and the aforementioned algorithm have been implemented and simulated using Matlab.
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