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.

Publication Date

8-1-2007

Publication Title

Electronics Letters

Volume

43

Issue

15

Number of Pages

838-840

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1049/el:20070497

Socpus ID

34547181277 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/34547181277

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