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On intraference and its implications in complex-valued signal processing

机译:干扰及其在复值信号处理中的意义

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We introduce the concept of intra-ference in order to quantify the degree to which the integrity of bivariate (or complex) sources is preserved in applications based on matrix decompositions of bivariate data. This is achieved by examining the pseudocovariancematrix of noncircular complex sources, and by recognising that the pseudocovariance is intrinsically complex valued. We illuminate how the existing decompositions such as the strong uncorrelating transform (SUT) not only decorrelate the bivariate sources from one another, but also decorrelate and scatter the data channels within each bivariate source, thus violating source integrity. Examples showing that the intra-ference arises due to the phase ambiguity in the existing matrix decompositions support the approach.
机译:我们引入内部干涉的概念,以量化基于双变量数据矩阵分解的应用程序中双变量(或复杂)源完整性的保留程度。通过检查非圆形复数源的伪协方差矩阵,并认识到伪协方差本质上是复数值,可以实现此目的。我们阐明了现有的分解方法(例如强不相关变换(SUT))不仅如何使双变量源彼此解相关,而且还解相关和分散了每个双变量源中的数据通道,从而破坏了源完整性。实例表明内部干扰是由于现有矩阵分解中的相位歧义而产生的,支持该方法。

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