基于小波变换的信号奇异性检测及去噪例程

二次小波变换的方法用于数字信号码元速率估计(wavelet transform for bitrate estimation of digital modulated signal)

对信号进行小波变换，抑制系数小波滤波，采用了硬阈值滤波方法(right signal wavelet transform, wavelet filter coefficients inhibit use of the hard threshold filtering method)

通过设计Visual C程序源码对简单易懂的一维信号在加上了高斯白噪声之后进行Daubechies小波、Morlet小波与Haar小波变换，从而的到小波分解系数；再通过改变分解的到的各层高频系数数进行信号的小波重构达到消噪噪的目的。在这一程序源码实现的过程中能直观地理解信号小波分解重构的过程与在信号消噪中的重要作用，和在对各层高频系数进行权重处理时系数的选取对信号消噪效果的影响。 可直接 (Design Visual C program source code on a simple one-dimensional signal with a Gaussian white noise Daubechies wavelet, Morlet wavelet and Haar wavelet transform, and thus to the wavelet coefficients and then change the decomposition to each storey wavelet reconstruction frequency coefficient of the number of signal to noise canceling noise. In the process of realization of this program source code can be intuitively understood the signal wavelet decomposition and reconstruction process and an important role in signal denoising, and the selection coefficient in the high frequency coefficients of the layers of the weight of processing noise cancellation signal impact. Can be directly)

压缩感知相关领域的信号恢复算法，基于小波变换一维信号恢复(CS wavelet-1D code)

希尔伯特变换和小波变换检测相位差的matlab程序和一些资料(Hilbert transform and wavelet transform to detect the phase difference matlab program and some of the information)

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)

图像的压缩感知进行稀疏化时，首先需要进行创建字典，本程序就可以创建gabor字典(to create the gabor dicitionary)

Wavelet Neural networks

利用CVX进行优化，得到期望加权矢量，从而的得到需要的波束形成(CVX using optimized to give the desired beamforming)

这是采用小波变换以及压缩感知的理论编写的图像融合程序(This is the wavelet transform and the theory of compressed sensing image fusion program written in)