基于高阶矩的自适应反卷积和系统辨识

Fifth ASSP Workshop on Spectrum Estimation and Modeling Pub Date : 1900-01-01 DOI:10.1109/SPECT.1990.205576

N. Rozario, A. Papoulis

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引用次数: 1

摘要

介绍了一种线性过程自适应反卷积的新方法。问题是如何以一种简单的自适应方式获得未知的线性系统和底层的白噪声过程。该解决方案基于二阶矩和高阶矩，并且非常容易实现。该方法与自适应滤波中常用的基于梯度的方法有根本的不同。

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Adaptive deconvolution and system identification using higher order moments

Introduces a new method to adaptively deconvolve a linear process. The problem is to obtain the unknown linear system and the underlying white-noise process in a simple adaptive manner. The solution is based on second and higher order moments, and is exceedingly easy to implement. The method is radically different from the familiar gradient-based schemes used in adaptive filtering.<>

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Fifth ASSP Workshop on Spectrum Estimation and Modeling

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