Publication:
Globally convergent deflationary instantaneous blind source separation algorithm for digital communication signals

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Publication Date

2007

Language

English

Type

Journal Article

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Abstract

Recently an instantaneous blind source separation (BSS) approach that exploits the bounded magnitude structure of digital communications signals has been introduced. In this paper, we introduce a deflationary adaptive algorithm based on this criterion and provide its convergence analysis. We show that the resulting algorithm is convergent to one of the globally optimal points that correspond to perfect separation. The simulation examples related to the separation of digital communication signals are provided to illustrate the convergence and the performance of the algorithm.

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IEEE Transactions On Signal Processing

Publisher:

IEEE-Inst Electrical Electronics Engineers Inc

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Subject

Engineering, Electrical electronic engineering

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