Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Blind Source SeparationIntroduction

Blind Source Separation: Introduction [Blind source separation (BSS) aims to recover unobserved source signals from their observed mixtures without any information of the mixing system. It is a fundamental problem in signal and image processing. In this chapter, we first introduce the background of BSS, including its history and potential applications. Then, we give a brief overview of the traditional BSS methods for separating independent or uncorrelated source signals. After that, the BSS problem with mutually correlated sources are discussed, together with several mainstream BSS schemes and the corresponding algorithms.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Blind Source SeparationIntroduction

Download PDF
17 pages

Loading next page...
 
/lp/springer-journals/blind-source-separation-introduction-IpwkVOzMLl
Publisher
Springer Singapore
Copyright
© The Author(s) 2015
ISBN
978-981-287-226-5
Pages
1 –17
DOI
10.1007/978-981-287-227-2_1
Publisher site
See Chapter on Publisher Site

Abstract

[Blind source separation (BSS) aims to recover unobserved source signals from their observed mixtures without any information of the mixing system. It is a fundamental problem in signal and image processing. In this chapter, we first introduce the background of BSS, including its history and potential applications. Then, we give a brief overview of the traditional BSS methods for separating independent or uncorrelated source signals. After that, the BSS problem with mutually correlated sources are discussed, together with several mainstream BSS schemes and the corresponding algorithms.]

Published: Sep 17, 2014

Keywords: Blind source separation; Mutually correlated sources; Dependent component analysis

There are no references for this article.