Ex-03

离散时间信号的傅立叶变换的各个例子的算法，很不错的，希望对大家有用(discrete-time signal Fourier Transform algorithm examples, very good, we hope to useful)

full implementation to LDA with Minumum distance Classifier for face recognition and easy to implement.

利用人工势场法来进行路径规划，从起点无碰撞地到达目标点。(Path planning based on artificial potential field.)

这个是关于DIOPHANTINE方程的一个程序。只是一个函数文件。可以应用到你需要的主程序中，方程式是关于GPC预测控制中的方程。不是一般性方程(This is a program on Diophantine equations. Just a function file. Can be applied to the main program you need, the equation is the equation GPC predictive control. Not a general equation)

and uD as described in section 4 together with the discrete space. The main . The proposed Matlab program employs th

拉丁超立方抽样，调用方式如下：S=lhs(m,dist,mu,sigma,lowb,upb) m: a scalar,the number of sample points dist: A row with distribution type flags of basic random variables the value of the flag can be 1 (for uniform distribution, 2(for normal distribution), 3(for lognormal) and 4(for extreme type 1). mu: A row vector comprising the mean value of basic random variables. sigma: A row vector with its length equaligng to mu,including the standard deviation of basic random variables. lowb: a row vector with its elements are the lower bound of the sampling interval upb:a row vector with its elements are the upper bounds of the sampling interval dist,mu,sigma,lowb,upb must have the same length. Output argument S: sampling point matrix, of which each row is a sampling point.(code of Latin Hypercube Sampling)

《matlab应用大全》赵海滨编著，清华大学出版社，第七章主讲概率与数理统计(The application of matlab Zhao Haibin compiled, tsinghua university press, chapter 7 on the probability and mathematical statistics )

采用仿真实验的方法，分析和评价FCFS、SJF、RR和MLFS算法的优劣，用c++实现四种调度算法，源代码如下，思路程序内有注解(Method using simulation, analysis and evaluation of FCFS, SJF, RR, and MLFS merits of the algorithm, using c++ to achieve the four scheduling algorithms, source code is as follows, ideas, comments within the program)

matlab实现，主要实现wiener滤波、qrst复合波检测、RR间期检测(Matlab realization main Wiener filter, qrst composite wave detection, RR interval detection, etc.)

Transforming images from the spatial domain to frequency domain using FFT and DCT, also it includes transforming to the Cepstrum domain.