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基于小波变换的信号去噪
引用本文:李小平,王冬艳. 基于小波变换的信号去噪[J]. 电子工程师, 2012, 0(4): 22-25
作者姓名:李小平  王冬艳
作者单位:成都电子机械高等专科学校电气与电子工程系,成都 610071
摘    要:小波分析是现代数字信号处理的重要分支。为实现基于小波变换的图像去噪,以小波变换为基础,对一维信号及二维图像信号进行去噪。实验结果表明,基于小波变换的图像处理可以有效地去除噪声,与传统的信号分析技术相比,小波变换能在对信号进行消噪的同时,更好地保留原始信号。

关 键 词:小波变换  图像增强  信号增强

Wavelet Transform Based Signal Enhancement
Li Xiaoping,Wang Dongyan. Wavelet Transform Based Signal Enhancement[J]. Electronic Engineer, 2012, 0(4): 22-25
Authors:Li Xiaoping  Wang Dongyan
Affiliation:(Department of Electrical and Electronic Engineering, Chengdu Electromeehanieal College, Chengdu 610071, China)
Abstract:Wavelet analysis is an lmptoitant branch of modern digital processing.In this paper,we design an image denoising system based on wavelet transform. Firstly, onedimensional signals are enhanced based on wavelet transform, and then, twodimensional image signals are enhanced in the same way. The ex perimental results show that image processing based on wavelet transform can effectively remove the noise, compared with the traditional signal analysis techniques. The wavelet transform eliminates the noise in the sig nal, and preserve the original signal at the same time.
Keywords:wavelet transform  image enhancement  signal enhancement
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