Fast Signal Reconstruction from Modulus Maxima of Signal’s Wavelet Transform

陈德智; 唐磊; 盛剑霓; 王恒利

您当前的位置：

首页 >

文章列表页 >

Fast Signal Reconstruction from Modulus Maxima of Signal’s Wavelet Transform

更新时间：2025-12-08

- Fast Signal Reconstruction from Modulus Maxima of Signal’s Wavelet Transform
- Acta Electronica Sinica Issue 9, Pages: 82-85(1998)
- 作者机构：
  
  1. 西安交通大学电气工程学院!西安
  2. 710049
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN911.7
- Published：1998
- 稿件说明：
移动端阅览
[1]陈德智,唐磊,盛剑霓,王恒利.由小波变换的模极大值快速重构信号[J].电子学报,1998(09):82-85.

陈德智, 唐磊, 盛剑霓, et al. Fast Signal Reconstruction from Modulus Maxima of Signal’s Wavelet Transform[J]. Acta Electronica Sinica, 1998, (9): 82-85.
[1]陈德智,唐磊,盛剑霓,王恒利.由小波变换的模极大值快速重构信号[J].电子学报,1998(09):82-85. DOI：

陈德智, 唐磊, 盛剑霓, et al. Fast Signal Reconstruction from Modulus Maxima of Signal’s Wavelet Transform[J]. Acta Electronica Sinica, 1998, (9): 82-85. DOI：

摘要

本文从多尺度分析的思想出发，提出一种由信号小波变换的模极大值快速重构信号的方法．在不同尺度上，以阶跃函数在该尺度上的小波变换作为基函数，利用模极大值拟合信号的小波变换，然后进行小波反演得到重构信号，这种快速算法具有明确而直观的物理意义，实现简单方便文中还给出了对重构信号的误差修正方法数值实验的结果表明，这种快速重构算法对不同类型的信号同样有效.

Abstract

Based on the multiscale idea

a fast algorithm to reconstruct the signal from its wavelet transform modulus maxima is built

in which the wavelet transforms of a step function are used as bases to reconstruct the wavelet transform of the sigul according to the medulus maxima on every scale

and then all of these components are used to reconstruct the signal by inverse wavelet transform. This methed is of explicit physical meaning and can be implemented conveniently. The methed of error medification is also given in this paper. Numerical results show that the fast reconstruction algorithm is effective for different types of signals.

关键词

Keywords

references

Views

419

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

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

On the Construction and Properties of the Multi-Scaling Function via GCTST

A New Network Traffic Prediction Model Based on Ant Colony Algorithm in Cognitive Networks

Applications of Independent Sub-Band Functions and Wavelet Analysis in Single-Channel Noisy Signal BSS:Model and Crucial Technique

Related Author

YU Shi-ming

FENG Hao

WANG Shou-jue

WEN Cheng-lin

ZHOU Xiao-hui

WANG Gang

LI Dan-dan

ZHANG Run-tong

Related Institution

Institute of SemiconductorsChinese Academy of SciencesBeijing 100083China

Institute of Intelligent Information SystemZhejiang University of TechnologyHangzhouZhejiang 310014China

Institute of Semiconductors, Chinese Academy of Sciences

Institute of Intelligent Information System,Zhejiang University of Technology

Department of MathematicsHenan UniversityKaifeng 475001China

⁰