nonlinear dynamics

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. )

基于MATLAB的GS算法的高斯光束整形设计(Designof BinaryOptical Element withMATLAB)

利用全局去噪和分层去噪实现信号的小波去噪，实现成功(Implementation of wavelet denoising, global denoising and level-dependent denoising)

基于小波变换的图像分析，它是在matlab中运行的(Image analysis based on wavelet transform, which is run in matlab)

利用CVX进行优化，得到期望加权矢量，从而的得到需要的波束形成(CVX using optimized to give the desired beamforming)

压缩感知相关领域的信号恢复算法，基于小波变换一维信号恢复(CS wavelet-1D code)

小波变换去噪，此函数用于去除白躁信号＆周期性干扰信号(Wavelet transform denoising, this function is used to remove white manic signal & periodic interference signal )

可见光与红外图像融合技术的研究 其中多种算法在内(Infrared and visible image fusion research)

说明：  小波变换和压缩感知中的OMP算法比较，是一种比较新的算法(Wavelet transform and compression perception of the OMP algorithm comparison, is a relatively new algorithm)

对图像做二维离散小波变换，分解级数为3级，并重构图像，不直接调用Matlab的dwt和idwt函数。(pair of 2-dimensional images DWT, decomposition of the three series, and Image Reconstruction, not directly call Matlab dwt and idwt function.)