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)


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
Number of pages8
ISBN (Electronic)978-3-540-30110-3
ISBN (Print)978-3-540-23056-4
Publication statusPublished - 2004
Event5th International Conference on Independent Component Analysis and Blind Signal Separation - Granada, Spain
Duration: 22 Sept 200424 Sept 2004

Publication series

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


Conference5th International Conference on Independent Component Analysis and Blind Signal Separation
Abbreviated titleICA 2004


Dive into the research topics of 'The use of ICA in speckle noise'. Together they form a unique fingerprint.

Cite this