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matlab编写的蚁群算法解决TSP问题，对路径选择部分作了改进，有详细中文注解。(ant colony algorithm written in matlab to solve TSP problem, select the part of the path has been improved, there are more Chinese comments.)

2. 设 是窄带信号，定义 是在 区间上均匀分布的随机相位。 是寬带信号，它是一个零均值、方差为1的白噪音信号e(n)激励一个线性滤波器而产生，其差分方程为 。 1） 计算 和 各自的自相关函数，并画出其函数图形。根据此选择合适的延时，以实现谱线增强。 2） 产生一个 序列。选择合适的 值。让 通过谱线增强器。画出输出信号 和误差信号e(n)的波形，并分别与 和 比较。 (Computer Experiments: 1. Consider an AR process x(n) defined by the difference equation where v(n) is an additive white noise of zero mean and variance .The AR parameters and are both real valued: a) Calculate the noise variance such that the AR process x(n) has unit variance .Hence , generate different realization of the process x (n). b) Given the input x (n), an LMS filter of length M = 2 is used to estimate the unknown AR parameters and . The step size is assigned the value 0.05. Compute and plot the ensemble average curve of and by averaging the value of parameters and over an ensemble of 100 different realization of the filter. Calculate the time constant according to the experiment results and compare with the corresponded theoretical value. c) For one realization of the LMS filter, compute the prediction error And the two tap-weight errors and Using power spectral plots of , show that)

分布式压缩感知代码，初学者试用，完整程序(Distributed compressed sensing code, for beginners to try and complete the program)

用Matlab 读写Excel操作，有详细例子(There are detailed examples of Matlab to read and write Excel operation)

说明：  小波插值（全小波插值，小波双线性插值，小波双三次插值及其改进）放大图像，提高图像的分辨率；对插值图像做质量评价（峰值信噪比PSNR；均方信噪比SNR）(Wavelet interpolation (full wavelet interpolation, wavelet bilinear interpolation, cubic interpolation and improved method) to enlarge the image and improve image resolution assesse the interpolation image (peak signal to noise ratio PSNR mean square signal to noise ratio SNR))

通信系统建模与仿真源码(communication system simulation)

采用平面梁单元计算两铰抛物线拱的在初始条件下自由振动，并对时程曲线结果进行FFT变换(Calculated using plane beam element in two-hinged parabolic arch of free vibration under initial conditions, and the results of time-curve FFT)

说明：  这是一个利用FFT内插法求解载波频率问题，精确度很高。(This is to solve a carrier frequency problems using interpolation FFT.It is high degree of precision.)

digital signal processing

Face recognition using L1 norm minimization 1.0 :Read the following paper for details of the algorithm - Robust Face Recognition via Sparse Representation by John Wright, Arvind Ganesh, and Yi Ma , Coordinated Science Laboratory, University of Illinois at Urbana-Champaign and Allen Yang, Electrical Engineering and Computer Science, University of California Berkeley.