wavelet-transform

基于小波变换的图像压缩感知 并且进行OMP重建 对压缩感知的性能与采样点数进行性能分析与比较(Image compression based on wavelet transform perception and the OMP reconstruction performance of compressed sensing and sample analysis and comparison of performance points)

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)

主要仿真风力发电系统下matlab pwm整流及波形分析(Main simulation wind power systems matlab rectifier )

利用curvelet_toolbox开发的一个红外和可见光图像融合代码。(The development of a curvelet_toolbox infrared and visible image fusion code.)

离散小波变换，再用OMP算法重构出原始信号(DWT transmission，OMP )

用于压缩感知的基追踪(Basis pursuit)算法，程序非常详细，仅供参考(Basis Pursuit (Basis is pursuit) algorithm for compressed sensing.)

基于小波变换的图像量化编解码，使用零树编码方法(based on wavelet transform quantitative image codecs, the use of zero-tree coding method)

离散小波变换是指在特定子集上采取缩放和平移的小波变换，是一种兼具时域和频域多分辨率能力的信号分析工具。此变换运用可以缩放平移的小波代替固定的窗进行计算分析，主要应用于信号编码和数据压缩。(Discrete wavelet transform refers to the specific subset take scaling and translation on the wavelet transform, is a kind of multi-resolution ability both time domain and frequency domain signal analysis tool. This transformation can use zoom translational wavelet calculation and analysis instead of the fixed window, mainly used in signal coding and data compression. )

小波分解与重构，该程序可以实现小波变换的分解与重构。(Wavelet decomposition and reconstruction, the program can achieve wavelet transform decomposition and reconstruction.)

说明：   这是一个用小波神经网络进行非线性函数逼近的例子，拟合效果非常好，保证能运行！有详细注释！我是参考《青岛海洋大学学报》 2001年第1期 一种基于BP算法学习的小波神经网络编写的，大家可以针对原文更好的理解我的程序！(This is a wavelet neural network with nonlinear function approximation example of fitting results is very good, guaranteed to run! Detailed Notes! I refer to Journal of Ocean University of Qingdao，2001 ，“a learning algorithm based on BP wavelet neural network ”, you will understand me better for program!)