FMCW-radar-ranging

说明：  MATLAB PIV处理程序，可以方便处理PIV得到图像的流场信息(Matlab PIV processing program can easily process PIV to get the flow field information of the image)

一个关于数字图像处理的PPT教程,希望对大家有所帮助(On digital image processing PPT tutorials, and they hope to help everyone)

说明：  一个比较经典的二维经验模式分解程序代码，适用于图像的特征提取和分解(A more classic two-dimensional empirical mode decomposition procedure code, applied to image feature extraction and decomposition)

一种自适应chirplet分解的快速算法 针对信号自适应chirplet分解未知参数多、实现起来比较困难的特点，文献[1]提出了一种新的chirplet分解快速算法。该算法利用计算信号的二次相位函数，得到其能量分布集中于信号的调频率曲线上的结论，此时通过谱峰检测可同时获得chirplet调频率、时间中心和幅度的估计；然后通过解线性调频技术获得其初始频率和宽度的估计，仿真结果验证了本文算法的有效性。 (Chirplet an adaptive decomposition algorithm for rapid adaptive signal decomposition Chirplet many unknown parameters, is more difficult to achieve the characteristics of the literature [1] proposed a new fast algorithm Chirplet decomposition. The algorithm calculating the signal function of the second phase, its energy distribution to be concentrated in the signal modulation frequency curve on the conclusions, this time through the spectral peak detection can be obtained simultaneously Chirplet tune the frequency, timing and magnitude of the estimated center then through the solution line technology of FM frequency and the width of the initial estimates, the simulation results verify the effectiveness of the algorithm.)

说明：  去卷积 图像复原 去卷积操作 matlab(deconvolution Image restoration)

一种基于non-sample的纹理合成demo，程序性能还有待优化，效果还不错.(texture synthesis demo.)

一个很好类子来说明类模板的使用，可以比较明了类模板的使用方法，最好进行单步调试(use of class template )

利用自适应算法matlab程序来处理图像，弥补了直方图均衡化的缺点(Adaptive algorithm matlab program to process images, to make up for the shortcomings of the histogram equalization)

说明：  实现平滑0范数压缩感知算法，主要对二维图像进行压缩感知重构。自行设置图像的采样数目、添加图像即可运行，无需修改。(Realizes a smooth 0-norm compressed sensing algorithm, mainly for compressed sensing reconstruction of two-dimensional images. Set the sample number of the image by yourself, add the image to run, no need to modify.)

图像质量评价指标：MSE，衡量融合图像相对于标准参考图像灰度的偏离程度。其值越小，说明复原图像和标准参考图像的差异越小，恢复效果越好。(Image quality evaluation MSE)