國立虎尾科技大學 |

Nonlinear Source Separation

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Nonlinear Source Separation/ by Luis B. Almeida.
作者:	Almeida, Luis B.
面頁冊數:	XII, 101 p.online resource. :
Contained By:	Springer Nature eBook
標題:	Signal, Speech and Image Processing . -
電子資源:	https://doi.org/10.1007/978-3-031-02526-6
ISBN:	9783031025266

Nonlinear Source Separation
Almeida, Luis B.

Nonlinear Source Separation[electronic resource] /by Luis B. Almeida. - 1st ed. 2006. - XII, 101 p.online resource. - Synthesis Lectures on Signal Processing,1932-1694. - Synthesis Lectures on Signal Processing,.

Introduction -- Linear Source Separation -- Nonlinear Separation -- Final Comments -- Statistical Concepts -- Online Software and Data.

The purpose of this lecture book is to present the state of the art in nonlinear blind source separation, in a form appropriate for students, researchers and developers. Source separation deals with the problem of recovering sources that are observed in a mixed condition. When we have little knowledge about the sources and about the mixture process, we speak of blind source separation. Linear blind source separation is a relatively well studied subject, however nonlinear blind source separation is still in a less advanced stage, but has seen several significant developments in the last few years. This publication reviews the main nonlinear separation methods, including the separation of post-nonlinear mixtures, and the MISEP, ensemble learning and kTDSEP methods for generic mixtures. These methods are studied with a significant depth. A historical overview is also presented, mentioning most of the relevant results, on nonlinear blind source separation, that have been presented over the years.

ISBN: 9783031025266

Standard No.: 10.1007/978-3-031-02526-6doiSubjects--Topical Terms:

1366353
Signal, Speech and Image Processing .

LC Class. No.: T1-995

Dewey Class. No.: 620

Nonlinear Source Separation
LDR:02378nam a22003735i 4500 001 1097465
003 DE-He213
005 20230112143406.0
007 cr nn 008mamaa
008 230315s2006 sz | s |||| 0|eng d
020 $a 9783031025266 $9 978-3-031-02526-6
024 7 $a 10.1007/978-3-031-02526-6 $2 doi
035 $a 978-3-031-02526-6
050 4 $a T1-995
072 7 $a TBC $2 bicssc
072 7 $a TEC000000 $2 bisacsh
072 7 $a TBC $2 thema
082 0 4 $a 620 $2 23
100 1 $a Almeida, Luis B. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1407312
245 1 0 $a Nonlinear Source Separation $h [electronic resource] / $c by Luis B. Almeida.
250 $a 1st ed. 2006.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2006.
300 $a XII, 101 p. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Synthesis Lectures on Signal Processing, $x 1932-1694
505 0 $a Introduction -- Linear Source Separation -- Nonlinear Separation -- Final Comments -- Statistical Concepts -- Online Software and Data.
520 $a The purpose of this lecture book is to present the state of the art in nonlinear blind source separation, in a form appropriate for students, researchers and developers. Source separation deals with the problem of recovering sources that are observed in a mixed condition. When we have little knowledge about the sources and about the mixture process, we speak of blind source separation. Linear blind source separation is a relatively well studied subject, however nonlinear blind source separation is still in a less advanced stage, but has seen several significant developments in the last few years. This publication reviews the main nonlinear separation methods, including the separation of post-nonlinear mixtures, and the MISEP, ensemble learning and kTDSEP methods for generic mixtures. These methods are studied with a significant depth. A historical overview is also presented, mentioning most of the relevant results, on nonlinear blind source separation, that have been presented over the years.
650 2 4 $a Signal, Speech and Image Processing . $3 1366353
650 2 4 $a Electrical and Electronic Engineering. $3 1388937
650 1 4 $a Technology and Engineering. $3 1366744
650 0 $a Signal processing. $3 561459
650 0 $a Electrical engineering. $3 596380
650 0 $a Engineering. $3 561152
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783031013980
776 0 8 $i Printed edition: $z 9783031036545
830 0 $a Synthesis Lectures on Signal Processing, $x 1932-1694 $3 1393846
856 4 0 $u https://doi.org/10.1007/978-3-031-02526-6
912 $a ZDB-2-SXSC
950 $a Synthesis Collection of Technology (R0) (SpringerNature-85007)