multi--channel

沃伦·巴菲特（Warren Buffett，1930年8月30日－），美国投资家、企业家、及慈善家，被称为股神，尊称为“奥玛哈的先知”、或“奥玛哈的圣贤”，目前拥有约620亿美元的净资产，根据《福布斯》杂志公布的2008年度全球富豪榜，他已经超过卡洛斯·斯利姆·埃卢和比尔·盖茨成为全球首富。 (Warren Buffett (Warren Buffett, 1930 Nian 8 30-), American investors, entrepreneurs, and philanthropist, known as Unit God, affectionately known as " Omaha' s prophet," or " Omaha sages " , now has about 620 billion in net assets, according to" Forbes " magazine published 2008 annual global rich list, he has more than Carlos Slim Helu and Bill Gates as the world' s richest man.)

matlab script for speech recognition. in via of improvment

系统仿真了HSDPA中的harq系统，对HARQ系统的吞吐量，重传次数做了分析描述 turbo 码matlab编译码程序，包括map和siso译码算法(Simulation of HSDPA in harq system, HARQ throughput of the system, the number of retransmissions to do the analysis described decoding turbo code matlab procedures, including map and siso decoding algorithm)

it is a lambertian model

LTE的信道模型，SCM, 标准3GPP25.966有说明(LTE channel model, SCM, a description of the standard 3GPP25.966)

目标跟踪问题的应用背景是雷达数据处理，即雷达在搜索到目标并记录目标的位置数据, 对测量到的目标位置数据（称为点迹）进行处理，自动形成航迹，并对目标在下一时刻的位置进行预测。 下文简要讨论了用Kalman滤波方法对单个目标航迹进行预测，并借助于Matlab仿真工具，对实验的效果进行评估。 里面包括三个源程序，和一份实验报告，里面有算法的详细分析和情景假设。(Application of target tracking radar data processing background, that is the search radar to the target and record the location of the object data to the target location of the measurement data (referred to as Plot) for processing, automatic track formation, and the target in the next time to predict the location. Briefly discussed below, using Kalman filtering to predict a single target track, and the help of Matlab simulation tools, experimental results for evaluation. Which consists of three source code, and a test report, which has a detailed analysis of the algorithm and the scenario assumptions.)

读入任意大小的图像，实现长和宽上的比例缩放,matlab 图像预处理处理中有用的小程序(imread a image and resize the size of the image)

rough set for clustering version 1

给出了一种新的自适应非线性滤波历程，该方法计算量小而且使用方便(Presents a new adaptive nonlinear filtering process, the method is small and easy to use)

MAT4 MAT4 MAT4 MAT4