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Acoustic echo cancellation using bli...

Wang, Song.

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Acoustic echo cancellation using blind source separation principles.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Acoustic echo cancellation using blind source separation principles./
Author:	Wang, Song.
Description:	47 p.
Notes:	Source: Masters Abstracts International, Volume: 41-06, page: 1805.
Contained By:	Masters Abstracts International41-06.
Subject:	Engineering, Electronics and Electrical. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1413854

Acoustic echo cancellation using blind source separation principles.
Wang, Song.

Acoustic echo cancellation using blind source separation principles. - 47 p.

Source: Masters Abstracts International, Volume: 41-06, page: 1805.

Thesis (M.S.)--Utah State University, 2003.

The goal of this project was to develop acoustic echo cancellation (AEC) algorithms based on the blind source separation (BSS) principle. Traditional AEC systems are based on adaptive filters and double talk detectors. A double talk detector plays an essential role in an acoustic echo cancellation system. It helps to maintain the system's stability when a double talk situation is present. Although many efficient, fast convergent adaptive filters are available, no reliable talk detector has ever been proposed. With the blind source separation principle, we are able to remove the double talk detector from the acoustic echo cancellation application. Thus, we are able to obtain the convergent algorithm without worrying about the double talk situation.Subjects--Topical Terms:

626636
Engineering, Electronics and Electrical.

Acoustic echo cancellation using blind source separation principles.
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035 $a (UnM)AAI1413854
035 $a AAI1413854
040 $a UnM $c UnM
100 1 $a Wang, Song. $3 1945055
245 1 0 $a Acoustic echo cancellation using blind source separation principles.
300 $a 47 p.
500 $a Source: Masters Abstracts International, Volume: 41-06, page: 1805.
500 $a Major Professor: Jacob Gunther.
502 $a Thesis (M.S.)--Utah State University, 2003.
520 $a The goal of this project was to develop acoustic echo cancellation (AEC) algorithms based on the blind source separation (BSS) principle. Traditional AEC systems are based on adaptive filters and double talk detectors. A double talk detector plays an essential role in an acoustic echo cancellation system. It helps to maintain the system's stability when a double talk situation is present. Although many efficient, fast convergent adaptive filters are available, no reliable talk detector has ever been proposed. With the blind source separation principle, we are able to remove the double talk detector from the acoustic echo cancellation application. Thus, we are able to obtain the convergent algorithm without worrying about the double talk situation.
590 $a School code: 0241.
650 4 $a Engineering, Electronics and Electrical. $3 626636
690 $a 0544
710 2 0 $a Utah State University. $3 960049
773 0 $t Masters Abstracts International $g 41-06.
790 1 0 $a Gunther, Jacob, $e advisor
790 $a 0241
791 $a M.S.
792 $a 2003
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1413854