A Minimum Relative Entropy Approach to Parameter Estimation for Gaussian Random Fields

Kuang Jinyu

您当前的位置：

首页 >

文章列表页 >

A Minimum Relative Entropy Approach to Parameter Estimation for Gaussian Random Fields

更新时间：2025-12-08

- A Minimum Relative Entropy Approach to Parameter Estimation for Gaussian Random Fields
- Acta Electronica Sinica Issue 7, (1994)
- 作者机构：
  
  北京师范大学无线电电子学系
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP391.41
- Published：1994
- 稿件说明：
移动端阅览
[1]匡锦瑜.高斯随机场参数的最小相对熵估计法[J].电子学报,1994(07):98-102.

Kuang Jinyu. A Minimum Relative Entropy Approach to Parameter Estimation for Gaussian Random Fields[J]. Acta Electronica Sinica, 1994, (7).
[1]匡锦瑜.高斯随机场参数的最小相对熵估计法[J].电子学报,1994(07):98-102. DOI：

Kuang Jinyu. A Minimum Relative Entropy Approach to Parameter Estimation for Gaussian Random Fields[J]. Acta Electronica Sinica, 1994, (7). DOI：

摘要

本文根据图像处理的需要，提出了高斯随机场参数的一种最小相对熵估计法，该方法利用模拟退火技术寻求概率分布的最小相对熵。文中给出了利用这种估计法对多分量混合一元高斯分布进行参数估计的实例。

Abstract

A new approach to parameter estimation for Gaussian random field images is presented.It seeks to determine the minimum relative entropy estimates of the parameters using simulated annealing technique.Examples on the application of this algorithm are also given for estimating the parameters of the mixtures of M（M is a posivive integer） univariate Gaussian distributions.

关键词

Keywords

references

Views

188

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Radar Active Electromagnetic Interference Visual Detection and Parameter Estimation Method

A Salp Swarm Algorithm Based on Stepped Tent Chaos and Simulated Annealing

Parameter Estimation for Logistic Model by ParticleSwarm Optimization Algorithm

Parameter Estimation of 3D Scattering Centers Based on CP-GTD Model

A Fast Algorithm for Mono-Component PPS Parameter Estimation

Related Author

ZHU Xuan

RUAN Jiang-jun

WU Hao

SHI Zhao-peng

HE Fang-min

MENG Jin

ZHOU Peng

DONG Chao-yi

Related Institution

School of Electrical Engineering and Automation, Wuhan University

National Key Laboratory of Electromagnetic Energy, Naval University of Engineering

School of Electronic Information and Communications, Huazhong University of Science and Technology

Inner Mongolia University of Technology

Inner Mongolia Electromechanical Control Laboratory

⁰