Stability Verification of Statistical Methods for Signal Separation

Valery A. Zasov
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引用次数: 1

Abstract

This paper presents an algorithm for verifying the stability of statistical methods for signal separation. This algorithm is based on the calculation of singular parameter intervals for a signal mixing model. A feature of the algorithm is that it considers the effects of permutation and scaling that occur in statistical algorithms for signal separation. Computer simulation methods confirm the accuracy of the algorithm under the conditions of varying signal parameters and information channels characteristics.
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信号分离统计方法的稳定性验证
本文提出了一种验证信号分离统计方法稳定性的算法。该算法基于信号混合模型奇异参数区间的计算。该算法的一个特点是它考虑了信号分离统计算法中发生的排列和缩放的影响。计算机仿真方法验证了该算法在不同信号参数和信息信道特性条件下的准确性。
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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