搜索资源列表
CWT1
- 一维信号小波分解与重构，供VC++与小波学习用
wavelet-mallat
- 小波谱分析mallat算法经典程序，对原始信号进行低高频的信号分解以及重构，并且进行对比分析。-Algorithm for spectral analysis mallat small classic procedure, the original signal with low frequency signal decomposition and reconstruction, and compared.
330
- 提出了将信号进行相空间重构后再采用奇异值分解, 对分解后的主成分进行包络分析, 从而提取信号的隐含特 征的方法, 并将该方法应用于齿轮的局部故障振动特征信号的提取中。数值仿真实验结果表明, 该方法能有效提取强背景 信号及噪声中的弱冲击特征信号, 是一种有效的弱信号特征提取方法。采用该方法对齿轮振动信号进行故障特征提取与识 别, 结果与实际情况相符。-Signal implicit characteristic of phase space reconstruction, and th
reallydenoising
- 对信号leleccum进行三级分解，并采用默认全局阈值对各层高频信号进行处理，并重构，重构后的信号变得光滑-Decomposition of the signal leleccum for three, and uses the default global threshold for the high-frequency signal processing layers and reconstruction, the reconstructed signal becomes smooth
nGpFBMP-ver-1.0
- 非高斯分布信号的快速重构算法,该代码为论文“A Fast Non-Gaussian Bayesian Matching Pursuit Method for Sparse Reconstruction”论文的源代码-Fast reconstruction algorithm of non-Gaussian signal The code for the paper "A Fast Non-Gaussian Bayesian Matching Pursuit Method for Sparse
新建 WinRAR 压缩文件
- 通过小波技术对一维信号进行分解与重构，比较变换前后的图像，获取有用的信息(Wavelet technology is used to decompose and reconstruct one dimension signal, compare the image before and after the transformation, and obtain useful information)
小波分解与重构
- 对信号进行多尺度分解并提取小波的高频系数和低频系数(Multi-scale decomposition of signals and extraction of high frequency coefficients and low frequency coefficients of wavelet)