xiaobojiguangqi

实现文章 李根.基于小波变换修正的双线性图像插值图像放大方法，信息技术，2010.9 一文的仿真。包括自编的双线性插值和最近邻插值方法。(Lee, realize the article based on wavelet transform image modified bilinear interpolation method of image magnification, information technology, article 2010.9 of the simulation. Including self bilinear interpolation and nearest neighbor interpolation method.)

利用小波变换对图像去噪，可以运行，并附有详细的说明，本人编写，感觉不错！欢迎共享.(Using Wavelet Transform for Image Denoising, you can run, together with detailed instructions, I prepared, I feel good! Welcome to share.)

美国Rice大学提供的matlab 小波代码，要比matlab自带的matlab更易用(Rice University, USA matlab wavelet code comes than easier to use)

此程序能够实现基于小波变幻的图像的平滑处理。(the program can implement smoothly process of wavelet-based transformed image )

几种小波阈值函数去噪的程序及其运行结果比较(Several wavelet threshold denoising function to run the program and its results more)

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.)

图象增强小波变换将一幅图象分解为大小、位置与方向都不同的分量。在做逆变换之前能改变小波变换域中某些系数的大小，，这样就能够洋选择的放大所感兴趣的分量而减小不需要的分量。给定一个图象信号，用二维小波分析析对图象进行增强处理。 (Image enhancement wavelet transform decomposition size, location and direction of the different components of an image. Wavelet transform domain, some the size of the coefficient can change before doing the inverse transformation, so can the component of interest to the amplification of the ocean choose to reduce the unwanted weight. Given an image signal, the analysis of two-dimensional wavelet analysis of image enhancement processing.)

在国外的好论坛下的，gabor小波变换程序，已测，放心使用，非常好的程序。还有一个gabor的也在我的上载中(Good forum in a foreign country under, gabor wavelet transform procedures, has been measured, ease of use, very good program. There is also a gabor' s also my upload)

说明：  是关于小波去噪在地震信号中的引用，检测地震信号(Is the seismic signal on the wavelet denoising the reference in the detection of seismic signal)

对于非平稳信号，小波多尺度分解师一种有效的信号去噪方法，在小波去噪方法的基础上，提出了基于Lipschitz指数的小波阈值去噪方法(For non-stationary signals, signal de-noising of wavelet multi-scale decomposition ' is an effective method, wavelet denoising method based on proposed wavelet thresholding denoising method based on the Lipschitz exponent)