A new approach to blind separation of cyclostationary sources

1999 2nd IEEE Workshop on Signal Processing Advances in Wireless Communications (Cat. No.99EX304) Pub Date : 1900-01-01 DOI:10.1109/SPAWC.1999.783032

K. Abed-Meraim, Y. Xiang, J.H. Manron, Y. Hua

引用次数: 8

Abstract

This paper studies the problem of blind source separation (BSS) under the assumption that the source signals are cyclostationary. Attention is restricted to methods based on second-order cyclostationary statistics (SOCS). Necessary and sufficient conditions for SOCS-based identifiability and SOCS-based separability are presented. Algorithms are developed to achieve BSS using only SOCS.

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一种盲分离环平稳源的新方法

本文研究了假设源信号是周期平稳的情况下的盲源分离问题。注意仅限于基于二阶循环平稳统计(SOCS)的方法。给出了基于soc的可识别性和可分离性的充分必要条件。开发了仅使用SOCS实现BSS的算法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

1999 2nd IEEE Workshop on Signal Processing Advances in Wireless Communications (Cat. No.99EX304)

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