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对二维图像进行压缩感知处理和重建，其中包括小波变换程序、正交匹配跟踪重建信号程序(Compressed sensing, processing and reconstruction of two-dimensional image)

single level ,two level, multi level dwt for the denoising

基于小波变换的碰磨故障信号的特征提取，可以画出信号原图，轴心轨迹，频谱图以及多层小波变换的重构信号(Based on wavelet transform rubbing fault signal feature extraction, the signal can be drawn artwork, orbit, spectrum and signal reconstruction wavelet multi-)

双树复数小波变换的滤波程序,在所有小波变换的程序中，该程序采用双变量模型能很好完成去噪功能(dual-tree complex wavlet transform is a good inshift wavelet transform)

图像加入水印提取水印的Matlab代码，包括的内容较多，能够完成各种实验的要求。(Extracted watermark image watermark to join the Matlab code, including the contents of more to complete the requirements of various experiments.)

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.)

对图像进行小波变换的分解和重构的代码，包含以为信号的处理。( The image decomposition and reconstruction of wavelet transform code, including that the processing of the signal.)

小波变换应用，小波软阈值及硬阈值去噪算法及对此算法的改进算法。(Application of Wavelet Transform, wavelet soft threshold and hard threshold denoising algorithm and improved algorithm for this method.)

这是二维离散小波变换程序，里面附带程序说明，及实例讲解。(This is a two-dimensional discrete wavelet transform, which comes with the program instructions and examples to explain.)

复杂杂波背景下，海面红外图像中舰船目标检测的关键是如何降低虚警、检测出真正的 目标。为了实现这个目标，首先利用Haar小波函数进行小波变换，对图像进行预处理；然后进行恒 虚警检测（CFAR）；第三步采用行程法对检测的目标进行标记；最后采用管道滤波法剔出虚假目标， 检测出真正的目标。经仿真实验证明，此方法能有效地降低虚警，在复杂杂波背景中检测出目标。 (The key of ship detection in sea infrared image with complex clutter background is how to reduce false alarms and detect true targets.In order to achieve this aim,a novel algorithm is proposed. First,Haar wavelet transform technology is used as preprocessing,then constant false alarm rate(CFAR) detetion,then run-length label to mark objects detected by the above step,finally pipeline filter to reduce false alarms and detect true targets.Experiment results indicate that this method can effectively reduce false alarms and detect true targets in complicated sea background. )