An Adaptive Total Least Mean p-Norm Algorithm Applied in α-Stable Noise Environments

FENG Da-zheng; CHANG Dong-xia; YUAN Li

您当前的位置：

首页 >

文章列表页 >

An Adaptive Total Least Mean p-Norm Algorithm Applied in α-Stable Noise Environments

更新时间：2025-07-16

- An Adaptive Total Least Mean p-Norm Algorithm Applied in α-Stable Noise Environments
- Acta Electronica Sinica Vol. 29, Issue S1, Pages: 1848-1851(2001)
- 作者机构：
  
  西安电子科技大学雷达信号处理重点实验,陕西,西安,710071
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN957
- Published：2001
- 稿件说明：
移动端阅览
FENG Da-zheng, CHANG Dong-xia, YUAN Li. An Adaptive Total Least Mean p-Norm Algorithm Applied in α-Stable Noise Environments[J]. Acta Electronica Sinica, 2001, 29(S1): 1848-1851.
DOI：

FENG Da-zheng, CHANG Dong-xia, YUAN Li. An Adaptive Total Least Mean p-Norm Algorithm Applied in α-Stable Noise Environments[J]. Acta Electronica Sinica, 2001, 29(S1): 1848-1851. DOI：

摘要

本文给出了适应于-稳定噪声环境中自适应滤波和系统辨识的全局最小平均

-范数算法

其是总体最小二乘方法在脉冲噪声中的推广.本文还定义了全局

模误差和推导了点到直线的

距离

并在此基础上导出了全局最小平均

-范数算法.对所给算法进行了仿真实验研究

结果显示其性能优于著名的LMP算法.

Abstract

This paper proposes a total least mean

-norm algorithm for adaptive filtering and system identification in -stable noise environments

which is an extension of the total least mean squares algorithm.In the paper

both least

-norm error and the

-norm distance are defined.Computer simulations are presented to compare the relative performance of TLMP and LMP algorihms.

关键词

Keywords

references

Views

1010

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Research on Nonlinear Echo Cancellation in the α-Stable Noise Environment

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

An Adaptive Filtering Denoising Method Based on Variational Mode Decomposition

A Convex Combination of Variable Step-size Adaptive Filter and Its Mean-Square Performance Analysis

Denoising and Disturbance-Rejecting Method Based on Wavelet Decomposition and Least Absolute Errors

Related Author

YANG Lei

LI Chun-biao

YAN Tao

ZHAO Yi-bo

ZHOU Peng

DONG Chao-yi

CHEN Xiao-yan

QI Yong-sheng

Related Institution

南京信息工程大学电子与信息工程学院

江苏省大气环境与装备技术协同创新中心

Inner Mongolia University of Technology

Inner Mongolia Electromechanical Control Laboratory

Beijing Research Institute, Huawei Technology Limited Company

⁰