一种有前景的非线性盲反卷积和去模糊方法

Proceedings of Third International Symposium on Time-Frequency and Time-Scale Analysis (TFTS-96) Pub Date : 1996-06-18 DOI:10.1109/TFSA.1996.550069

J. Le Caillec, R. Garello

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引用次数: 0

摘要

近二十年来，由于高阶矩具有重构混合相系统的能力，盲反褶积成为高阶矩应用的一个重要研究领域。另一方面，用多光谱方法对非线性系统的检测和识别也进行了研究。本文提出了一种基于混合高阶矩方程的白数据序列或非偏数据序列通过非线性系统后的恢复方法。

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A prospective way for nonlinear blind deconvolution and deblurring

Blind deconvolution became an important field of interest for higher order moments application during the two last decades due to the capacity of these moments to reconstruct mixed phase systems. On the other hand, nonlinear systems detection and identification have been also studied with methods using polyspectra. We present in this paper a method to restore white or unskewed data sequences passing through a nonlinear system based on a set of mixed higher order moments equations.

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Proceedings of Third International Symposium on Time-Frequency and Time-Scale Analysis (TFTS-96)

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