A Denoising Algorithm Based on a New Threshold Function Appling Adaptive Learning Algorithm

PENG Ji-shen; ZHANG Zhi-chao; HAN Yan-chun

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A Denoising Algorithm Based on a New Threshold Function Appling Adaptive Learning Algorithm

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- A Denoising Algorithm Based on a New Threshold Function Appling Adaptive Learning Algorithm
- Vol. 33, Issue 4, Pages: 81-85(2016)
- 作者机构：
  
  1. 辽宁工程技术大学机构电气与控制工程学院,辽宁,葫芦岛,125105
  2. 阜新市科技情报研究所,辽宁,阜新,123000
- 作者简介：
- 基金信息：
- DOI：
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- Published：2016
- 稿件说明：
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彭继慎, 张志超, 韩彦春. 新阈值函数的自适应去噪[J]. 微电子学与计算机, 2016, 33(4): 81-85.

PENG Ji-shen, ZHANG Zhi-chao, HAN Yan-chun. A Denoising Algorithm Based on a New Threshold Function Appling Adaptive Learning Algorithm[J]. 2016, 33(4): 81-85.
彭继慎, 张志超, 韩彦春. 新阈值函数的自适应去噪[J]. 微电子学与计算机, 2016, 33(4): 81-85. DOI：

PENG Ji-shen, ZHANG Zhi-chao, HAN Yan-chun. A Denoising Algorithm Based on a New Threshold Function Appling Adaptive Learning Algorithm[J]. 2016, 33(4): 81-85. DOI：

摘要

提出了一种新阈值函数.新阈值函数连续性良好

且高阶可导

可进行各种数学处理

提高了阈值的自适应能力.在新阈值函数的基础上

利用自适应方法对信号进行消噪处理

选取最优阈值参数

达到最优的消除噪声效果.

Abstract

The paper presents a new threshold function. The continuity of the new function is well

besides the function has high-level differentiability. The function can conduct a variety of mathematical processing

thus the adaptive capacity is improved. Signal denoising using adaptive learning algorithm can get the best threshold value based on the new function and achieve the optimal denoising effect.

关键词

Keywords

references

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罗贺. 自适应小波包阈值去噪算法[D]. 长春: 吉林大学, 2014: 27-32.

Donoho D L. Denoising by soft thresholding[J]. IEEE Trans on IT, 1995, 41(3): 613-627. DOI: 613

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纪峰, 李翠, 常霞, 等. 基于改进阈值函数的自适应图像去噪方法[J]. 传感技术学报, 2014, 27(3): 251-254. DOI: 251

张维强, 宋国乡. 基于一种新的阈值函数的小波域信号去噪[J]. 西安电子科技大学学报, 2004, 31(2): 296-299. DOI: 296

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