Histogramequalization

经典功率谱估计及其仿真,可以给有需要的同志参考，欢迎下载(Classic power spectrum estimation and simulation)

Allan Variance calculation with ability of exponentially increasing step (MatLab function)

This function used to calculate PCA of image.

该程序是使用Matlab仿真协同通信的DF（解码转发）基本性能，基本模型S-R-D三个节点，接收端使用MRC（最大比合并）。固定DF由于SR信道的错误，其性能受到限制，在大SNR情况下不能获得有效分集。而当SR距离足够近的时候，可能获得一定的分集增益。(The program is a cooperative communication using Matlab simulation DF (decode forwarding) basic performance, the basic model of the SRD three nodes, the receiver uses the MRC (maximum ratio combining). Fixed DF error of the SR channel, its performance is limited, can not obtain a valid diversity in the large SNR case. When the SR close enough, you may get some diversity gain.)

matlab编的直流电测深正演模型,简单易懂(forward modelling)

Matlab教学案例，通过实例编程，实现教学(Matlab teaching cases, by way of example programming, teaching)

MATLAB code for root locus plot

利用MATLAB对隧道衬砌结构耐久性的HL方法结构可靠度计算(Tunnel lining using MATLAB HL durability of structural reliability calculation method)

国外高校老师编写的语音信号特征提取程序，非常实用初学者研究( [E, V, A, P] = analysis(x, N, U, M) extracts vocoder parameters E, V, A, and P from the speech signal x on a frame by frame basis. N is the analysis frame length, U is the update length, and M is the order of the linear prediction analysis. The return arguments are the extracted parameters, where E, V, and P are vectors with "n_frames" (the number of analysis frames, see code below) elements, A is a (n_frames, M+1) size matrix (includes the leading 1 of the polynomial).)

This code demomstrates an improved algorithm based on the local binary fitting (LBF) model in Chunming Li et al s paper: "Minimization of Region-Scalable Fitting Energy for Image Segmentation", IEEE Trans. Image Processing, vol. 17 (10), pp.1940-1949, 2008. Usage: These codes can be used for Matlab 7.0.4 or higher versions in Windows. Run the Demos in the M-files for several test images. Once an image comes out, click the mouse to generate a polygon as the initial contour: left click to get a number of points, then right click to get the end point. The number of iterations may need to be increased if the initial contour is too far away from the desired object boundary.