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说明：  基于背景差分法和帧间差分法的目标跟踪 应用了二维滤波，效果较好-(Application of a two-dimensional filtering, target tracking based on background subtraction and interframe difference method better)

Method Lax_Friedrichs for equation of advection 1d in Matlab

为了实现DOA和时延的联合估计,提出了一个无线通信中高分辨率的联合角度和时延估计方法,该方法不需要对参数进行搜索,利用空时矩阵的特征向量和特征值分别估计DOA和时延,通过特征值和特征向量的对应关系,估计的参数可以自动实现配对, 只要各路径信号的DOA和时延不同时接近此方法都可以适用,与JADE-MUSIC,JADE-ESPRIT和SI-JADE算法相比,该算法具有较好的鲁棒性和较小的估计误差。仿真结果证明了该算法的有效性。 (In order to achieve the joint estimation of DOA and delay, proposed a wireless communications joint angle and high resolution delay estimation method, the method does not require parameters to search using the space-time matrix eigenvectors and eigenvalues​ ​ , respectively, and the estimated DOA delay, by the correspondence between eigenvalues ​ ​ and eigenvectors, the estimated parameters can be automatically paired DOA and delay of each path as long as the signal is not close to this same method can be applied, with the JADE-MUSIC, JADE-ESPRIT and SI-JADE algorithm, the algorithm has better robustness and smaller estimation error. The simulation results show the effectiveness of the algorithm.)

这个m代码包含了一系列的小波变换的实现函数，有Daubechies,symlets,splines,S+P小波, JPEG2000小波变换等. 可以进行1D或者二维小波变换。(The m code contains a series of wavelet transform to achieve function, and Daubechies, symlets, splines, S+ P wavelets, JPEG2000 and other wavelet transform. Can be 1D or two-dimensional wavelet transform.)

BPSK的R参数分析归一化,求瞬时平方包络均值(BPSK Analysis of the R parameters normalized, and the instantaneous mean-square envelope)

Matlab program for IRIS RECOGNISATION

共轭梯度法，优化算法的一种，具有二次收敛性，若目标函数为二次正定函数，经有限步可达到极小点(Conjugate gradient method, an algorithm with quadratic convergence, if the objective function is quadratic positive definite function can be achieved by the finite step minima)

Differential Equations Linear, Nonlinear, Ordinary, Partial

说明：  实现协作频谱感知，采用压缩感知方法，并对不同虚警率下的正确判决概率进行对比仿真。(To achieve cooperative spectrum sensing, compressed sensing method is adopted, and the correct decision probability under different false alarm rates is compared and simulated.)

用matlab生成下列500*500的RGB红绿蓝彩色图像，框内的颜色如图所示（a）假定将该图像转换到HSI空间，用25*25的平均模板模糊H分量图像，再转换回RGB空间，会看到什么结果?(Generated with matlab the following 500* 500 RGB red, green and blue color image, the color box as shown (a) assumes that the image is converted to HSI space, with the average template 25* 25 Fuzzy H component image, and then converted back RGB space, see what results?)