Symmetrical NSHP Model Approximates Noncausal Model and Its Asymptotic Estimation Algorithm

Yu Xiaohan; Yuan Baozong

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Symmetrical NSHP Model Approximates Noncausal Model and Its Asymptotic Estimation Algorithm

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- Symmetrical NSHP Model Approximates Noncausal Model and Its Asymptotic Estimation Algorithm
- Acta Electronica Sinica Issue 5, Pages: 114-117(1991)
- 作者机构：
  
  1. 北方交通大学信息所
  2. 北方交通大学信息所北京
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：1991
- 稿件说明：
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[1]于晓晗,袁保宗.对称NSHP模型拟合非因果模型及其一致性估值算法[J].电子学报,1991(05):114-117.

Yu Xiaohan, Yuan Baozong. Symmetrical NSHP Model Approximates Noncausal Model and Its Asymptotic Estimation Algorithm[J]. Acta Electronica Sinica, 1991, (5): 114-117.
[1]于晓晗,袁保宗.对称NSHP模型拟合非因果模型及其一致性估值算法[J].电子学报,1991(05):114-117. DOI：

Yu Xiaohan, Yuan Baozong. Symmetrical NSHP Model Approximates Noncausal Model and Its Asymptotic Estimation Algorithm[J]. Acta Electronica Sinica, 1991, (5): 114-117. DOI：

摘要

本文针对非因果模型不易递归实现的缺点提出一种新的可递归实现的非因果模型

并提出一种相应的渐近一致性参数估值算法

实验结果表明这种模型及建模算法是有效的

适用于图象的数据压缩及特征提取。

Abstract

A new noncausal model which can be implemented recursively is peoposed in this paper to overcome the disadvantage of being unable to be implemented recursively. The corresponding estimation algorithm is also suggested and is an asymptotic method. Many experimental results confirmed the validity of our model. It can replace the common noncausal model to do image feature extraction

data co pression

etc.

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