xiaobo_shipin

说明：  基于vc++6.0 的图像对比度拉伸操作(vc 6.0 on the image contrast stretching operation)

基于小波变换的通信信号码元速率估计.pdf(Estimated rate based on the communication signal element wavelet transform. Pdf)

基于高阶累积量的MUSIC算法仿真，有直观结果可供参考(MUSIC algorithm simulation based on higher order cumulants, intuitive results available)

这是基于二进小波变换的图像增强matlab源代码，通过编译。(this is a sound code of image enhancement based on dyadic wavelent ,by translate and edit )

这是一个轴承故障分解程序，给予小波变换，小波去噪，小波重构与EMD相结合，有时频谱，边际谱，功率谱(This is a to bearing failure decomposition program given wavelet transform, wavelet denoising wavelet reconstruction combined with EMD, sometimes the spectrum, marginal spectrum, power spectrum)

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)

此程序用DWT(离散小波变换)实现二维小波变换(discrete wavelet transform )

利用小波变换，通过设置阈值对图像进行去噪。 首先对图像用小波进行2层分解，然后通过设置硬阈值和软阈值的方法，对图像高频部分去噪。(The wavelet transform is used to denoise the image by setting threshold. Firstly, the image is decomposed into 2 layers by wavelet, and then the high frequency part of the image is denoised by setting the hard threshold and the soft threshold.)

实现连续小波变换，对信号进行频谱分析。精度很高(continuous wavelet transform)

Le Gall 5/3 小波变换及其反变换，可用于JPEG2000无损压缩中(Le Gall 5/3 wavelet transform and its inverse transform，which can be used for lossless compression in JPEG2000)