SSDXCORR.m

Returns weighted percentiles of a sample given the weight vector w ％ The idea is to give more emphasis in some examples of data as compared to ％ others by giving more weight. For example, we could give lower weights to ％ the outliers. ％ The motivation to write this function is to compute percentiles for Monte ％ Carlos simulations where some simulations are very bad (in terms of goodness ％ of fit between simulated and actual value) than the others and to give ％ the lower weights based on some goodness of fit criteria.(Returns weighted percentiles of a sample given the weight vector w The idea is to give more emphasis in some examples of data as compared to others by giving more weight. For example, we could give lower weights to the outliers. The motivation to write this function is to compute percentiles for Monte Carlos simulations where some simulations are very bad (in terms of goodness of fit between simulated and actual value) than the others and to give the lower weights based on some goodness of fit criteria .)

matlab program for the simple example. which will help u to understand how to use mtlab.

As a consequence, more exact models of devices can be retained for analysis rather than the approximate models commonly introduced for the sake of computational simplicity. A computer icon appears in the margin with each introduction of MATLAB analysis.

数字通信（第四版），国外经典教材系列的中文版。(Digital Communication (Fourth Edition))

Cut detection algorithm, uses histogram comparisonmethod.I ve also added a set of images.

对图像的相关性进行算法研究，制定图像压缩算法(The correlation between the image algorithm, image compression algorithm developed)

Get a cell assignment matrix of LTE user

这是计算二维Henon映射Lyapunov指数的程序，用matlab实现的，希望对大家能有用(This is a two-dimensional Henon map Lyapunov index calculation procedures, using matlab to achieve, we hope to be useful)

说明：  详细介绍了如何使用ModelSim进行仿真.(it will teach you how to use the ModelSim to simulink.)

说明：  雷达MTD源程序，非常棒的MATLAB源码，谁用谁知道，呵呵(MTD radar source, great for MATLAB source, who is with who knows, huh, huh)