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Extension of the matrix Bartlett's formula to the third order and to noisy models

机译:将Matrix Bartlett的公式扩展到第三顺序和嘈杂的模型

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This paper focuses on the extension of the asymptotic covariance of the sample covariance (denoted Bartlett's formula) of linear processes to third-order sample cumulant and to noisy linear processes. Thanks to a matrix polyspectral representation, closed-form expressions of the asymptotic covariance and cross covariance of the sample second and third moments are derived in a straightforward manner. As an application of these extended formulae, we enhance the sensitivity of the asymptotic performance of estimated ARMA parameters by an arbitrary third order-based algorithm to the spectrum of colored additive noise.
机译:本文重点介绍了线性过程的样本协方差的渐近协方差的渐近协方差,以三阶样本累积物和嘈杂的线性过程。由于矩阵多光谱表示,以直接的方式导出样品第二和第三矩的渐近协方差和交叉协方差的闭合形式。作为这些扩展公式的应用,我们通过基于任意的第三阶算法对彩色添加剂噪声的频谱增强了估计的ARMA参数的渐近性能的灵敏度。

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