▍1. matlab_EZW
嵌入式小波图像编码即EZW是最近很流行的一种编码方式,我的程序是用matlab实现对EZW的描述。(Embedded Wavelet EZW image coding that is very popular recently as a way of coding, I use the matlab process is to achieve a description of the EZW.)
嵌入式小波图像编码即EZW是最近很流行的一种编码方式,我的程序是用matlab实现对EZW的描述。(Embedded Wavelet EZW image coding that is very popular recently as a way of coding, I use the matlab process is to achieve a description of the EZW.)
加速度振动信号积分为速度振动信号输出,如需要可再一次积分,变换为位移信号(Vibration signal of the acceleration integral transform)
非下采样小波变换的一个实现程序,对边缘和纹理提取效果较好(Nonsubsampled wavelet transform of an implementation program, better edge and texture extraction effect)
说明: 基于小波变换阈值去噪的MATLAB源代码(包含小波包去噪程序)(threshold based on wavelet transform Denoising MATLAB source code (including wavelet denoising packet procedure))
小波变换的例子, 小波变换的例子, 小波变换的例子, 小波变换的例子,(wavelet transform example, wavelet transform example, Wavelet Transform example, wavelet tra nsform example,)
Block-based random image sampling is coupled with a projectiondriven compressed-sensing recovery that encourages sparsity in the domain of directional transforms simultaneously with a smooth reconstructed image. Both contourlets as well as complex-valued dual-tree wavelets are considered for their highly directional representation, while bivariate shrinkage is adapted to their multiscale decomposition structure to provide the requisite sparsity constraint. Smoothing is achieved via a Wiener filter incorporated into iterative projected Landweber compressed-sensing recovery, yielding fast reconstruction. The proposed approach yields images with quality that matches or exceeds that produced by a popular, yet computationally expensive, technique which minimizes total variation. Additionally, reconstruction quality is substantially superior to that from several prominent pursuits-based algorithms that do not include any smoothing
Block-based random image sampling is coupled with a projectiondriven compressed-sensing recovery that encourages sparsity in the domain of directional transforms simultaneously with a smooth reconstructed image. Both contourlets as well as complex-valued dual-tree wavelets are considered for their highly directional representation, while bivariate shrinkage is adapted to their multiscale decomposition structure to provide the requisite sparsity constraint. Smoothing is achieved via a Wiener filter incorporated into iterative projected Landweber compressed-sensing recovery, yielding fast reconstruction. The proposed approach yields images with quality that matches or exceeds that produced by a popular, yet computationally expensive, technique which minimizes total variation. Additionally, reconstruction quality is substantially superior to that from several prominent pursuits-based algorithms that do not include any smoothing
基于小波变换的电压暂降定位 利用模极大值原理实现暂降起止时刻的准确检测(voltage sag lacote based on wavelet transform Used to achieve maximum modulus principle sag beginning and ending time of the accurate detection)
提升小波变换程序, %LWT Lifting wavelet decomposition 1-D. % LWT performs a 1-D lifting wavelet decomposition % with respect to a particular lifted wavelet that you specify.(lifting wavelet transform procedures% Local Walsh Transform Lifting wavelet decomposition 1-D. % Local Walsh Transform performs a 1-D lifting wavelet decomposition% with respect to a particular lifted wavelet that you specify.)
这是三维离散小波变换程序,里面附带程序说明,及实例讲解。(This is a three-dimensional discrete wavelet transform, which comes with the program instructions and examples to explain.)
用小波变换去除荧光背景,扣除基线。matlab(Remove fluorescence background, net baseline using wavelet transform. matlab)
全套voltera滤波器检测目标回波信号,且全部都是m文件,没有加密,并附原始信号,以供验证。(Complete voltera filter detection of the target echo signal, and all the m files are not encrypted, together with the original signal, for verification.)
说明: 双数复数小波变换的Matlab源码的A部分,全部解压到一个文件夹后直接调用函数。(Double the number of complex wavelet transform of the A part of Matlab source code, all extract to a folder call the function directly.)
对仿真信号进行复morlet小波变换后,绘制的时频图。(After the simulated signal multiplexing morlet wavelet transform, time-frequency diagram drawn.)
描述电磁波(电场或磁场)在自由空间传播的Matlab程序。(Description of electromagnetic waves (electric or magnetic) in free-space propagation of Matlab procedures.)
描述电磁波(电场或磁场)在自由空间传播的Matlab程序。(Description of electromagnetic waves (electric or magnetic) in free-space propagation of Matlab procedures.)
本代码是小波包学习和使用的初学代码,简单改造可对信号进行滤波,去噪,实现我们需要的各种功能(xiaobobao )
实现心电信号的去噪处理以及波形变化,提取信号周期,同时标记波形的起始点和结束点(Denoising ECG waveform changes, signal extraction cycle, at the same time mark waveform start and end points)
多点目标 单站SAR的回波信号仿真以及BP后向投影成像 参数见合成孔径雷达成像——算法与实现一书表6.1 运行结果正确,注释比较详细(Percent more single station SAR point target echo signal simulation and backward projection imaging BP parameters, see synthetic aperture radar imaging- algorithm and implementation of a book Table 6.1 run result is correct, more detailed notes)