東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

A conceptual framework for noise red...

Benesty, Jacob.

Linked to FindBook

Google Book

Amazon

博客來

A conceptual framework for noise reduction

Record Type:	Electronic resources : Monograph/item
Title/Author:	A conceptual framework for noise reduction/ by Jacob Benesty, Jingdong Chen.
Author:	Benesty, Jacob.
other author:	Chen, Jingdong.
Published:	Cham :Springer International Publishing : : 2015.,
Description:	viii, 89 p. :ill., digital ;24 cm.
[NT 15003449]:	1 Introduction -- 2 Conceptual Framework -- 3 Single-Channel Noise Reduction in the Time Domain -- 4 Single-Channel Noise Reduction in the STFT Domain with Interframe Correlation -- 5 Binaural Noise Reduction in the Time Domain -- 6 Multichannel Noise Reduction in the STFT Domain.
Contained By:	Springer eBooks
Subject:	Noise control. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-12955-6
ISBN:	9783319129556 (electronic bk.)

A conceptual framework for noise reduction
Benesty, Jacob.

A conceptual framework for noise reduction[electronic resource] /by Jacob Benesty, Jingdong Chen. - Cham :Springer International Publishing :2015. - viii, 89 p. :ill., digital ;24 cm. - SpringerBriefs in electrical and computer engineering,2191-8112. - SpringerBriefs in electrical and computer engineering..

1 Introduction -- 2 Conceptual Framework -- 3 Single-Channel Noise Reduction in the Time Domain -- 4 Single-Channel Noise Reduction in the STFT Domain with Interframe Correlation -- 5 Binaural Noise Reduction in the Time Domain -- 6 Multichannel Noise Reduction in the STFT Domain.

Though noise reduction and speech enhancement problems have been studied for at least five decades, advances in our understanding and the development of reliable algorithms are more important than ever, as they support the design of tailored solutions for clearly defined applications. In this work, the authors propose a conceptual framework that can be applied to the many different aspects of noise reduction, offering a uniform approach to monaural and binaural noise reduction problems, in the time domain and in the frequency domain, and involving a single or multiple microphones. Moreover, the derivation of optimal filters is simplified, as are the performance measures used for their evaluation.

ISBN: 9783319129556 (electronic bk.)

Standard No.: 10.1007/978-3-319-12955-6doiSubjects--Topical Terms:

658942
Noise control.

LC Class. No.: TD892

Dewey Class. No.: 620.23

A conceptual framework for noise reduction
LDR:02048nmm a2200349 a 4500 001 1997926
003 DE-He213
005 20151026154900.0
006 m d
007 cr nn 008maaau
008 151112s2015 gw s 0 eng d
020 $a 9783319129556 (electronic bk.)
020 $a 9783319129549 (paper)
024 7 $a 10.1007/978-3-319-12955-6 $2 doi
035 $a 978-3-319-12955-6
040 $a GP $c GP
041 0 $a eng
050 4 $a TD892
072 7 $a TTBM $2 bicssc
072 7 $a UYS $2 bicssc
072 7 $a TEC008000 $2 bisacsh
072 7 $a COM073000 $2 bisacsh
082 0 4 $a 620.23 $2 23
090 $a TD892 $b .B465 2015
100 1 $a Benesty, Jacob. $3 821353
245 1 2 $a A conceptual framework for noise reduction $h [electronic resource] / $c by Jacob Benesty, Jingdong Chen.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
300 $a viii, 89 p. : $b ill., digital ; $c 24 cm.
490 1 $a SpringerBriefs in electrical and computer engineering, $x 2191-8112
505 0 $a 1 Introduction -- 2 Conceptual Framework -- 3 Single-Channel Noise Reduction in the Time Domain -- 4 Single-Channel Noise Reduction in the STFT Domain with Interframe Correlation -- 5 Binaural Noise Reduction in the Time Domain -- 6 Multichannel Noise Reduction in the STFT Domain.
520 $a Though noise reduction and speech enhancement problems have been studied for at least five decades, advances in our understanding and the development of reliable algorithms are more important than ever, as they support the design of tailored solutions for clearly defined applications. In this work, the authors propose a conceptual framework that can be applied to the many different aspects of noise reduction, offering a uniform approach to monaural and binaural noise reduction problems, in the time domain and in the frequency domain, and involving a single or multiple microphones. Moreover, the derivation of optimal filters is simplified, as are the performance measures used for their evaluation.
650 0 $a Noise control. $3 658942
650 1 4 $a Engineering. $3 586835
650 2 4 $a Signal, Image and Speech Processing. $3 891073
650 2 4 $a Communications Engineering, Networks. $3 891094
700 1 $a Chen, Jingdong. $3 896873
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a SpringerBriefs in electrical and computer engineering. $3 1565565
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-12955-6
950 $a Engineering (Springer-11647)