Nonlinear System Blind Deconvolution via Cumulants Extrema

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Nonlinear System Blind Deconvolution via Cumulants Extrema

更新时间：2025-07-16

- Nonlinear System Blind Deconvolution via Cumulants Extrema
- Acta Electronica Sinica Vol. 28, Issue 9, Pages: 70-73(2000)
- 作者机构：
  
  1. 汕头大学电子工程系,汕头,515063
  2. 汕头大学电子工程系汕头,515063
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP271+.61
- Published：2000
- 稿件说明：
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DAI Xian-hua. Nonlinear System Blind Deconvolution via Cumulants Extrema[J]. Acta Electronica Sinica, 2000, 28(9): 70-73.
DOI：

DAI Xian-hua. Nonlinear System Blind Deconvolution via Cumulants Extrema[J]. Acta Electronica Sinica, 2000, 28(9): 70-73. DOI：

摘要

提出一种新的基于累积量极值的非线性系统盲反卷积算法.通过引入中间变量作为隐含观测量

反卷积系统估计转化为两个子系统估计问题.第一个子系统估计是一具有完备指导信号训练集的后非线性系统(post nonlinear system)辨识

第二个子系统的估计则是一般基于累积量极值的线性系统盲反卷积.与其它算法比较

新算法具有明确的收敛性质和快速的收敛速度.

Abstract

A new cumulate extrema-based algorithm

for blind deconvolution of the sandwich nonlinear system

is developed.By introducing the intermediate variable as hidden variable

the learning of deconvloution system is fulfilled with an iteration learning process of two parts.The first part is a conventional learning of the post nonlinear system (PNS) with complete training sets

and the second part is in fact equivalent to blind deconvolution of a linear system.Compared with the other algorithm

the new algorithm has a faster convergence speed.

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