This paper analyzed the characteristic of noise in hyperspectral data deeply, and puts forward a de-noising method based on stationary discrete wavelet transform (SDWT).
文章深入分析了高光谱遥感数据中噪声的特点，提出了一种基于平稳小波变换的改进小波滤噪算法。
In order to on-line process engine cylinder head vibration signals of mobile equipment, a de-noising method with gradual changing threshold based on lifting wavelet package transform was proposed.
为了实现移动装备发动机缸盖振动信号的在线处理，提出一种基于提升小波包变换的渐变式阈值降噪方法。
Probed into the two factors of the signal de-noising effect basing on the wavelet transform basing on the analysis of the theory and methods of the wavelet transform: wavelet function and threshold.
在分析小波变换消噪原理和方法的基础上，研究了影响小波变换消噪效果的两个主要因素：小波基函数和阀值。
The experiment results show the de-noising effect of proposed method is better than those of the orthogonal wavelet transform and the common biorthogonal wavelet transform.
实验证明该方法的去噪效果明显优于正交小波方法和普通双正交小波变换的去噪效果。
Threshold de-noising based on wavelet transform which is proposed to determine the decomposition order adaptively is an efficient method to reduce the white noise in the digital signal.
在对带白噪声信号的小波变换特性分析的基础上，基于自相关函数的白噪声检验方法，提出了一种确定小波分解层数的自适应算法。
This paper mainly points out how to analyze and get rid of the random noise of seismic data by using the wavelet transform and de-noising method by threshold filter in wavelet domain.
本文主要是使用离散二进小波变换，采用小波域阈值的去噪方法对地震信号中随机噪声进行分析和处理。
To present a arithmetic based on Wavelet Transform and Convolution Morphology for images de-noising.
提出的卷积形态变换是一种新的形态变换形式，具有线性卷积的结构和形态变换的性质。
To present a arithmetic based on Wavelet Transform and Convolution Morphology for images de-noising.
提出的卷积形态变换是一种新的形态变换形式，具有线性卷积的结构和形态变换的性质。
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