一种盲分离环平稳源的新方法

K. Abed-Meraim, Y. Xiang, J.H. Manron, Y. Hua
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引用次数: 8

摘要

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。
A new approach to blind separation of cyclostationary sources
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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