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中文核心期刊

噪声背景下双输入时延混合系统的盲源分离

Blind source separation of time-delayed mixtures in noisy background

  • 摘要: 噪声背景下应用盲分离技术恢复源信号是盲信号处理的难点之一,本文主要研究了双输入时延有噪混合模型的盲分离方法,和传统的盲分离算法相比,该方法可以有效地利用多阵元的观测信号,对加性噪声具有相当的抑制作用。

     

    Abstract: To restore the source signals in noisy background is a difficulty in blind signal processing technology. This article discusses the blind separation of two-input time-delayed mixing model with additive noise. Compared with the traditional blind source separation algorithm, this method can efficiently utilize the observed signals that are much more than source signals and fairly reduce the additive Gaussian noise.

     

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