Adaptive Ica For Separation Of Complex Signals With Known Source Distributions In Time-Varying Channels

R. Ranganathan; T. T. Yang; W. B. Mikhael; Thomas Yang

doi:10.1049/el:20070497

Adaptive Ica For Separation Of Complex Signals With Known Source Distributions In Time-Varying Channels

R. Ranganathan, T. T. Yang, W. B. Mikhael, Thomas Yang

Embry-Riddle Aeronautical University

Research output: Contribution to journal › Article › peer-review

Abstract

A novel implementation of the complex block adaptive independent component analysis algorithm is presented. The new realisation is employed for the separation of complex signals with known source distributions. In practice, such situations are commonly encountered. Computer simulations show that the new algorithm converges much faster than the already existing complex fast-ICA in time-varying channels. In addition, the fast convergence of the novel technique is maintained with variation in the processing block size and is computationally cost effective.

Original language	American English
Journal	Electronics Letters
Volume	43
DOIs	https://doi.org/10.1049/el:20070497
State	Published - Aug 1 2007

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10.1049/el:20070497License: CC BY

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title = "Adaptive Ica For Separation Of Complex Signals With Known Source Distributions In Time-Varying Channels",

abstract = " A novel implementation of the complex block adaptive independent component analysis algorithm is presented. The new realisation is employed for the separation of complex signals with known source distributions. In practice, such situations are commonly encountered. Computer simulations show that the new algorithm converges much faster than the already existing complex fast-ICA in time-varying channels. In addition, the fast convergence of the novel technique is maintained with variation in the processing block size and is computationally cost effective.",

author = "R. Ranganathan and Yang, {T. T.} and Mikhael, {W. B.} and Thomas Yang",

year = "2007",

month = aug,

day = "1",

doi = "10.1049/el:20070497",

language = "American English",

volume = "43",

journal = "Electronics Letters",

issn = "1350-911X",

publisher = "The Institution of Engineering and Technology",

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T1 - Adaptive Ica For Separation Of Complex Signals With Known Source Distributions In Time-Varying Channels

AU - Ranganathan, R.

AU - Yang, T. T.

AU - Mikhael, W. B.

AU - Yang, Thomas

PY - 2007/8/1

Y1 - 2007/8/1

N2 - A novel implementation of the complex block adaptive independent component analysis algorithm is presented. The new realisation is employed for the separation of complex signals with known source distributions. In practice, such situations are commonly encountered. Computer simulations show that the new algorithm converges much faster than the already existing complex fast-ICA in time-varying channels. In addition, the fast convergence of the novel technique is maintained with variation in the processing block size and is computationally cost effective.

AB - A novel implementation of the complex block adaptive independent component analysis algorithm is presented. The new realisation is employed for the separation of complex signals with known source distributions. In practice, such situations are commonly encountered. Computer simulations show that the new algorithm converges much faster than the already existing complex fast-ICA in time-varying channels. In addition, the fast convergence of the novel technique is maintained with variation in the processing block size and is computationally cost effective.

UR - https://stars.library.ucf.edu/scopus2000/6462

U2 - 10.1049/el:20070497

DO - 10.1049/el:20070497

M3 - Article

SN - 1350-911X

VL - 43

JO - Electronics Letters

JF - Electronics Letters

ER -

Adaptive Ica For Separation Of Complex Signals With Known Source Distributions In Time-Varying Channels

Abstract

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