gaussi

基于小波变换的嵌入式零树小波编码算法,可以多等级压缩图像(The embedded zerotree wavelet coding algorithm based on wavelet transform can compress images at multiple levels.)

本文实现基于贝叶斯(BAYES)阈值的小波(WAVELET)图像去噪算法，相比较其它的小波去噪算法而言，效果非常好(This realization based on Bayesian (BAYES) Threshold the wavelet (WAVELET) image denoising algorithm, compared with other wavelet denoising algorithm, the effect was very good)

使用小波包变换分析信号的MATLAB程序，利用小波包变换实现对故障信号的分析(Single analysis using wavelet package transforming)

说明：  实现f-k变换，功能强大，各种滤波处理，地震波等都能用(wavelet transformF -k transform, powerful, a variety of filtering, seismic waves can be used)

近10种matlab基于小波变换的图像处理程序！ （M文件）(nearly 10 species of Matlab based on wavelet transform image processing procedures. (M))

Harr小波具有紧支撑、零调和性和优良的正交性等优点，因此选择它作为小波变换的基函数。对采样数据进行4层小波包变换得到16维的特征样本。(Harr wavelet has compact support, zero reconcile and excellent orthogonality, etc., so choose it as the base function of wavelet transform. 4 layers of sampled data wavelet packet transform feature samples 16 dimensions.)

给出了小波变换的具体java实现，小波变换的java程序，共包括waveletgen.java 和transformation.java(given wavelet transform to achieve specific java, java wavelet transform procedures, it includes waveletgen.java and transformation.java)

运行emd,得到输入信号X的固有模态函数（imf），每列代表着信号X的一阶分量，X就是我们采集的信号。 hhtdn是hht去噪的程序，可以不看，仅看emd 和 findpeaks wvtdn是wavelet去噪程序，如果只是分解信号，仅用下面的语句即可 [C,L] = wavedec(x_noise,dl,wn); x_noise就是我们采集的信号，dl是分解的阶数，wn是分解的母小波名称(% Empiricial Mode Decomposition (Hilbert-Huang Transform) % imf = emd(x) % Func : findpeaks)

一种基于EMD分解后对imf分量利用小波分解进行去噪的方法，给出了相应的例子，有注释(Based on the EMD decomposition after the imf component by using the method of wavelet decomposition denoising, corresponding examples are given, with comments)

基于提升格式的整数小波变换及其编解码( And its arranges based on the promotion form integer wavelet transformation decodes )