framesaddandsplit

matlab tutorial for gui design

该程序详细说明了MATLAB7.1与VC++6.0混合编程的方法，主要是VC++调用MATLABm函数编译后的动态数据链接库，并且提供了实际的例子，按照该例子就能完成初步的混合编程(The program details MATLAB7.1 VC++6.0 mixed programming, mainly compiled the VC++ call MATLABm function of the dynamic data link library, and provides practical examples can be done in accordance with the example of the initial mix of programming)

实验一 双极性矩形随机信号的归一化功率谱密度一 1.1 功率谱密度简介 平稳过程的任何一个非零样本函数的持续时间为无限长，显然都不满足绝对可积和总能量有限的条件。因此，它的傅里叶变换不存在即没有频谱函数。所以我们用功率谱密度来表述其频谱特性。 随机过程的任一实现是一个确定的功率型信号。而对于任意的确定功率信号f(t)，它的功率谱密度为： 式中， 是f(t)的截短函数 对应的频谱函数。f(t)是平稳随机过程 的一个实现。而随机过程某一个实现的功率谱密度不能作为过程的功率谱密度。过程的功率谱密度应该看作是任一实现的功率谱密度的统计平均，即 虽然该式给出了平稳随机过程的功率谱密度，但我们通常都不利用这个式子来计算功率谱。我们知道，确知的非周期功率信号的自相关函数与功率谱密度是一对傅里叶变换。对于平稳随机过程，也有类似的关系，即 和 对于平稳随机过程我们通常先求出其自相关函数再利用上式求出其功率谱密度。 1.2 实验要求  1.了解平稳随机信号功率谱的概念及计算方法  2.仿真不同占空比，等概、非等概双极性矩形随机信号的归一化功率谱密度  3.分析不同信号所包含的频谱分量，有无直流分量和定时分量信息 (A pair of rectangular random experiment polarity signal sample return a nonzero function of any duration power spectral density of a 1.1 power spectral density of a stationary process Introduction of infinite length, apparently not satisfied absolutely integrable and the total energy of the limited conditions. Therefore, it is the Fourier transform of the spectrum that does not function does not exist. Therefore, we use the power spectral density to express their spectral characteristics. Any random process is a realization of a certain type signal power. For arbitrarily determined power signal f (t), its power spectral density is: wherein, is f (t) is a function corresponding to the truncated spectrum function. f (t) is a stationary random process of realization. The random process to achieve a certain power spectral density can not serve as the power spectral density of the process. Power spectral density process should be seen as a statistical average power spectral density of any r)

Unit commitment with programming

在基于matlab移动通信仿真中要使用到，作为信源使用，这个是信源码的编码的程序。(Matlab-based simulation of mobile communication should be used as a source to use, this is the letter of the procedure source code.)

一个用matlab完成的偏最小二乘法示例(MATLAB Central-Partial-Least-Squares)

说明：  这是一个讲线性调频连续波的程序，感兴趣的可以来看看(This is a talk LFMCW procedures can be of interest to see)

采用自相关函数法求基音周期，将采样得到的声音信号按每20ms一帧分为若干帧，并对每帧的序列求自相关函数，取自相关函数第一个最大值点算出基音周期，并以帧为横坐标，基音周期为纵坐标画图，并去除野点，最后取图中浊音部分即面积较大部分的值作为基音周期。(Using the autocorrelation function method pitch period, the sound signal is sampled every 20ms frame is divided into a plurality of frames, and each frame sequence uates the autocorrelation function, taken the first maximum point of correlation function calculated the pitch period, and frame as the horizontal, the vertical axis pitch drawing and remove outliers, and finally take the value of the area that is part of a larger portion of the figure as voiced pitch.)

matlab入门级别的书，适用于初学者，高手就绕道吧。。。(the book is for the coder who just starts to use matlab.)

使用CDS(一种基于John算法的拓展算法)和Palmer算法解决m-machine和n-job 的jobshop schedling问题，并对主要的功能指标进行比较。使用Matlab运行调用Drawchat（）函数。(Use of CDS (algorithm based on the expansion of John algorithm) and Palmer algorithm to solve m-machine n-job and the jobshop schedling issues and the main features were compared. Run using the Matlab call Drawchat () function.)