ZINV1

一个统计语言识别系统一般采用移自动语言识别三角洲系数（议会）功能。学童牙科保健服务堆叠比例系数的几帧三角洲的版本。 南区区议会及其应用的详细描述可在西医坎贝尔先生，J.P.坎贝尔，D.A.雷诺，大肠杆菌歌手，年息托雷斯- Carrasquillo，扬声器和语言识别，计算机语音和语言，第20卷，问题2-3，奥德赛2004支持向量机：演讲者与语言识别工作坊 -奥德赛- 04，四月至2006年7月，页210-229。 此代码是一个快速实现移三角洲系数（在MATLAB）。( A statistical language recognition system generally uses shifted delta coefficient (SDC) feature for automatic language recognition. SDCs are stacked version of delta cofficient over several frames. The detail descriptions of SDC and its applications are available in W.M. Campbell, J.P. Campbell, D.A. Reynolds, E. Singer, P.A. Torres-Carrasquillo, Support vector machines for speaker and language recognition, Computer Speech & Language, Volume 20, Issues 2-3, Odyssey 2004: The speaker and Language Recognition Workshop- Odyssey-04, April-July 2006, Pages 210-229. This code is a fast implementation (in MATLAB) of Shifted Delta Coefficient.)

ldpc的解码程序,matlab实现，已实现，译码速度快(ldpc decoding process, matlab implementation, has achieved fast decoding)

Matlab高级讲义-控制系统的数学描述与建模(Matlab senior notes- the mathematical description of the control system and modeling)

matlab编程必备手册，内容包括matlab编程格式规范、基本编程方法、常用函数及实例等。言简意赅，非常实用。(matlab manual programming required, including matlab programming format specification, the basic programming methods, and examples of commonly used functions and so on. Concise and very practical.)

CankNicolson scheme to solve the diffusion equation for different initial conditions

SRGB 数据转化为XYZ 数据格式，色彩学相关研究人员会有所帮助(SRGB data into XYZ data format, color science will help the researchers)

基于运动区域和运动区域外截矩形进行运动目标检测的程序(campaign based regional and extra-regional movement closed rectangular exercise target detection procedures)

Artificial Neural Networks Exercise in Matlab

严格按照BP网络计算公式来设计的一个matlab程序,对BP网络进行了优化设计 优化1：设计了yyy，即在o(k)计算公式时，当网络进入平坦区时(<0.0001)学习率加大，出来后学习率又还原 优化2：v(i,j)=v(i,j)+deltv(i,j)+a*dv(i,j) (BP network in strict accordance with the formula to design a matlab program, the optimized BP network design optimization 1: Design of the yyy, that is, o (k) formula, when the network into the flat areas (< 0.0001) increase learning rate large, after the optimization of learning rate reduction 2: v (i, j) = v (i, j)+ deltv (i, j)+ a* dv (i, j) )

we will easily find out the agriculture region and man made region using hidden markov model