The use of ICA in speckle noise

D Blanco, Bernard Mulgrew, Steve McLaughlin, D P Ruiz, M C Carrion

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

When a linear mixture of independent sources is contaminated by multiplicative noise, also called speckle noise, the statistic of the outputs of a linear transformation of the noise data is very different from the statistic that appears when the speckle noise is not present. Specifically, it is not possible find a linear transformation that provides independent outputs and it is necessary study the statistical structure that appears in this case. In this paper, a general approach to obtain the mixture when there exists speckle noise is developed. In order to do this, the linear transformation is searches as the one that reproduces the this theoretical statistic structure.

Original languageEnglish
Title of host publicationIndependent Component Analysis and Blind Signal Separation
Subtitle of host publicationFifth International Conference, ICA 2004, Granada, Spain, September 22-24, 2004. Proceedings
EditorsCarlos G Puntonet, Alberto Prieto
PublisherSpringer
Pages248-255
Number of pages8
Volume3195
ISBN (Electronic)978-3-540-30110-3
ISBN (Print)978-3-540-23056-4
DOIs
Publication statusPublished - 2004
Event5th International Conference on Independent Component Analysis and Blind Signal Separation - Granada, Spain
Duration: 22 Sep 200424 Sep 2004

Publication series

NameLecture Notes in Computer Science
Volume3195
ISSN (Print)0302-9743

Conference

Conference5th International Conference on Independent Component Analysis and Blind Signal Separation
Abbreviated titleICA 2004
CountrySpain
CityGranada
Period22/09/0424/09/04

Cite this

Blanco, D., Mulgrew, B., McLaughlin, S., Ruiz, D. P., & Carrion, M. C. (2004). The use of ICA in speckle noise. In C. G. Puntonet, & A. Prieto (Eds.), Independent Component Analysis and Blind Signal Separation: Fifth International Conference, ICA 2004, Granada, Spain, September 22-24, 2004. Proceedings (Vol. 3195, pp. 248-255). (Lecture Notes in Computer Science; Vol. 3195). Springer. https://doi.org/10.1007/978-3-540-30110-3_32