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xiaobofenjiehechougou
- 小波分解和重构 小波分解和重构 -thr=sigma*(2*lgN)1/2/lg(j+1) 用[x,xn]=wnoise(2,10,6) 产生噪声测试数据-The following is Part I of a of hard and soft threshold denoising matlab procedure is the following hardware and software, I made a threshold denoising matlab program: thr
Signal-de-noising-processing
- 关于小波分解中的低频图像，实现低通滤波消噪小波软硬阈值去噪的程序-About low-frequency image of wavelet decomposition, realize low-pass filtering de-noising of wavelet soft threshold denoising process
chengxu
- 采用db3小波对信号进行六层分解，可以用作容错故障检测的源程序，我做的小论文就用的这个程序，没有错误-Using six db3 wavelet decomposition of the signal can be used as fault tolerance fault detection of the source, I made a small paper on the use of this program, no errors
db2
- 一个很小的小波分解和重构的程序，很简单，适合出血泽学习-A small wavelet decomposition and reconstruction process is very simple, suitable for bleeding Ze learning
ACS
- 自适应线性调频小波分解的视频分析方法，适合分析不能通过正交基建立模型的信号。-Video analysis of adaptive wavelet decomposition chirp, suitable for analyzing signals can not be established by orthogonal base model.
WY-DWT
- 离散小波变换，包括各层分解，消除了边界效应等问题-DWT，including every layer
3levelfenjie
- 数字图像处理，对图像进行小波的一级，二级和三级分解，显示图像-Digital image processing, wavelet on image level, two level and three level decomposition, image display
2Dwavelet-transform
- 未使用matlab小波函数实现图像的二维小波分解和重构，分解和重构结果有对比-Matlab wavelet function is not used to achieve a two-dimensional image wavelet decomposition and reconstruction, decomposition and reconstruction contrasting results
one
- 通过使用matlab自带的小波函数对语音信号进行处理，首先对载入的语音信号snow.wav添加高斯白噪声，然后对加噪的语音信号进行三层小波分解，最后分别采用强制性和默认阈值两种方法对信号进行消噪处理，强制性消噪方法直接将分解的高频系数全部变为0，默认阈值通过对分解的高频系数设定阈值来进行消噪-By using MATLAB built-in wavelet function of speech signal processing, first on the loading of the spee
Wavelet-Analysis-in-speech-signal-
- 用MATLAB对一语音信号进行小波分解，分别用强阈值，软阈值，默认阈植进行消噪处理。-Using MATLAB to a voice signal wavelet decomposition, respectively intensity threshold, soft threshold, default threshold denoising processing plant.
db1_3fenjiechonggou
- 通过利用小波分解重构进行ECG信号去噪处理-Denoising for ECG signal by using wavelet decomposition and reconstruction
pudn_Renj_matlab
- 1)football.m简单地以阵列形式显示一副图； 2）pre.m是心音信号过滤归一化预处理的过程； 3）wavlet.m是用db6小波进行信号的分解和重构，且求包络能量函数； 4）path.m是利用KKT条件的路径跟踪法，用于求解二次规划问题； 5）LRmmse是MIMO通信中常用检测方法，结合了最小均方误差准则和格基规约的知识。-1) football.m simply displays a graph in an array 2) pre.m is the proc
共振稀疏分解
- ＲＳＳＤ方法的基础是品质因子可 调 小 波 变 换（ＴＱＷＴ）方法，其关键是构建品质因子可调小波。依据信号的共振属性，通过带通滤波器组实现分解过程，