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.)
快速傅里叶变换，fft，ourrafft master(Fast Fourier Transform Algorithm)
说明： 快速傅里叶变换，fft，ourrafft master(Fast Fourier Transform Algorithm)
说明： 紧支撑小波基的构造。 以Daubechies小波滤波器系数为例，推导出小波函数及尺度函数，并画出其图像. void Convolution(double* pShortData, int nShort, double* pLongData, int nLong) int CalcScaleFunction(double* pOutData) int CalcWaveletFunction(double* pOutData) Convolution()不是通用的离散卷积代码，而是简单地实现了后面两个函数需要的离散卷积，它要求输入的前一个数组长度小于后一数组长度，而且卷积结果就直接覆盖存储在后一数组中。CalcScaleFunction()计算尺度函数，CalcWaveletFunction()计算小波函数。 (Compactly supported wavelet bases constructed. To Daubechies wavelet filter coefficients as an example, the derived wavelet function and scaling function, and draw their images. Void Convolution (double* pShortData, int nShort, double* pLongData, int nLong) int CalcScaleFunction (double* pOutData) int CalcWaveletFunction ( double* pOutData) Convolution () instead of generic discrete convolution code, but simply the realization of a function behind the need for two discrete convolution, which requires input before an array length is less than the array length of the latter, but the result of convolution directly covered by the latter is stored in the array. CalcScaleFunction () calculated scaling function, CalcWaveletFunction () calculation of wavelet function.)
任意阶daubechies小波函数的构造，包括尺度函数和小波函数以及滤波器系数的构造(arbitrary order PG wavelet function, including scaling function and wavelet function and the structure of the filter coefficients)
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)
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)
表面肌电信号的小波变换3层分解，提取特征向量(Surface EMG wavelet transform the three-layer decomposition, Feature Extraction)
基于快速小波变换的闪变检测算法，用于计算闪变值(Flicker detection algorithm based on fast wavelet transform )
理解有源滤波器的工作原理、性能特点。学习有源滤波器的设计方法。(Understand the working principle of active filter performance characteristics. Learning active filter design methods.)
本站资源：696524 个
本站会员：103920 个
总计下载：488219 次
今日上传：0 个
Copyright© 2019-2024 |
Powered by Imdn
|
浙ICP备16007336号
|
|
联系客服（QQ：3324461878）
本网站资源收集自网络及网站用户上传，若有侵权请邮件至（3324461878@qq.com），核实后我们会在24小时内删除，谢谢！
