ICA method for speckle signals [blind source separation application]

D Blanco, Bernard Mulgrew, Steve McLaughlin

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

Abstract

Independent component analysis (ICA) has shown success in the separation of sources in lots of applications. Almost all of them assume that a set of recorded signals is the result of a linear mixture of independent sources. Although ICA methods were firstly designed to apply only to free-noise signals, numerous methods have extended it to deal with additive noise, using only higher order statistic. However, in speckle environments signals the noise is multiplicative, so the applicability of ICA is seriously reduced. This paper proposes an ICA method for speckle signals, taking into account the multiplicative nature of the noise and improving the results obtained by standard ICA methods.

Original languageEnglish
Title of host publicationIEEE International Conference on Acoustics, Speech, and Signal Processing, 2004
PublisherIEEE
Pages821-824
Number of pages4
Volume2
ISBN (Print)0-7803-8484-9
DOIs
Publication statusPublished - 2004
Event29th IEEE International Conference on Acoustics, Speech, and Signal Processing 2004 - Montreal, Quebec, Canada
Duration: 17 May 200421 May 2004

Conference

Conference29th IEEE International Conference on Acoustics, Speech, and Signal Processing 2004
CountryCanada
CityMontreal, Quebec
Period17/05/0421/05/04

Cite this

Blanco, D., Mulgrew, B., & McLaughlin, S. (2004). ICA method for speckle signals [blind source separation application]. In IEEE International Conference on Acoustics, Speech, and Signal Processing, 2004 (Vol. 2, pp. 821-824). IEEE. https://doi.org/10.1109/ICASSP.2004.1326384
Blanco, D ; Mulgrew, Bernard ; McLaughlin, Steve. / ICA method for speckle signals [blind source separation application]. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2004. Vol. 2 IEEE, 2004. pp. 821-824
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title = "ICA method for speckle signals [blind source separation application]",
abstract = "Independent component analysis (ICA) has shown success in the separation of sources in lots of applications. Almost all of them assume that a set of recorded signals is the result of a linear mixture of independent sources. Although ICA methods were firstly designed to apply only to free-noise signals, numerous methods have extended it to deal with additive noise, using only higher order statistic. However, in speckle environments signals the noise is multiplicative, so the applicability of ICA is seriously reduced. This paper proposes an ICA method for speckle signals, taking into account the multiplicative nature of the noise and improving the results obtained by standard ICA methods.",
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Blanco, D, Mulgrew, B & McLaughlin, S 2004, ICA method for speckle signals [blind source separation application]. in IEEE International Conference on Acoustics, Speech, and Signal Processing, 2004. vol. 2, IEEE, pp. 821-824, 29th IEEE International Conference on Acoustics, Speech, and Signal Processing 2004, Montreal, Quebec, Canada, 17/05/04. https://doi.org/10.1109/ICASSP.2004.1326384

ICA method for speckle signals [blind source separation application]. / Blanco, D; Mulgrew, Bernard; McLaughlin, Steve.

IEEE International Conference on Acoustics, Speech, and Signal Processing, 2004. Vol. 2 IEEE, 2004. p. 821-824.

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

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N2 - Independent component analysis (ICA) has shown success in the separation of sources in lots of applications. Almost all of them assume that a set of recorded signals is the result of a linear mixture of independent sources. Although ICA methods were firstly designed to apply only to free-noise signals, numerous methods have extended it to deal with additive noise, using only higher order statistic. However, in speckle environments signals the noise is multiplicative, so the applicability of ICA is seriously reduced. This paper proposes an ICA method for speckle signals, taking into account the multiplicative nature of the noise and improving the results obtained by standard ICA methods.

AB - Independent component analysis (ICA) has shown success in the separation of sources in lots of applications. Almost all of them assume that a set of recorded signals is the result of a linear mixture of independent sources. Although ICA methods were firstly designed to apply only to free-noise signals, numerous methods have extended it to deal with additive noise, using only higher order statistic. However, in speckle environments signals the noise is multiplicative, so the applicability of ICA is seriously reduced. This paper proposes an ICA method for speckle signals, taking into account the multiplicative nature of the noise and improving the results obtained by standard ICA methods.

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Blanco D, Mulgrew B, McLaughlin S. ICA method for speckle signals [blind source separation application]. In IEEE International Conference on Acoustics, Speech, and Signal Processing, 2004. Vol. 2. IEEE. 2004. p. 821-824 https://doi.org/10.1109/ICASSP.2004.1326384