matlabjiaocheng

Digital modulation demodulation

按部州描述很详细，精确到每一行.按部州描述很详细，精确到每一行(an bu zhou shu ru hen xiang xi qing que dao mei yi hang hao dong xi a ge men ye shi mei zhe le ta ma de fei dei xie )

linux下matlab可用的最小二乘法支持向量机ls-svm，c语音代码。(matlab under linux available method of least squares support vector machine ls-svm, c voice code.)

Computes the adiabatic temperature gradient

基于MATLAB平台编写的经验模态分解的源代码(Empirical Mode Decomposition )

A function to evaluate a neural nets performance as called from the PSO function

The shuffled complex evolution with principal components analysis–University of California at Irvine (SP-UCI) method is a global optimization algorithm designed for high-dimensional and complex problems. It is based on the Shuffled Complex Evolution (SCE-UA) Method (by Dr. Qingyun Duan et al.), but solves a serious problem in searching over high-dimensional spaces," population degeneration". The population degeneration problem refers to the phenomenon that, when searching over the highdimensional parameter spaces, the population of the searching particles is very likely to collapse into a subspace of the parameter space, therefore losing the capability of exploring the entire parameter space. In addition, the SP-UCI method also combines the strength of shuffled complex, the Nelder-Mead simplex, and mutinormal resampling to achieve efficient and effective high-dimensional optimization.

机器人的matlab仿真代码，用于机器人学习(Robot simulation matlab code)

信号提取是信号处理的一个重要技术，如何评价提取信号的性能，相关系数就是一个很好的评价指标！(signal from the signal processing is an important technology, how to assess the performance of signal extraction, the correlation coefficient is a good evaluation index!)

此为模式识别中Parzen窗法估计概率密度函数。 全部程序流程如下： 1、读取FAMALE.TXT文件把身高或体重给数组，并求x1的样本数N1和窗宽、体宽； 2、读取MALE.TXT文件把身高或体重给数组，并求x2的样本数N2和窗宽、体宽； 3、读取Test2.txt文件把对应的身高或体重给数组A并求A的样本数M； 4、利用Parzen窗法估计概率密度函数判别男女性别； 5、对本判别的错误率进行统计。 (This is the pattern recognition Parzen window method to estimate the probability density function . All program flow is as follows : 1 , read FAMALE.TXT file to height or weight to the array, and find the number of samples x1 N1 and window width , body width 2 , read MALE.TXT file to height or weight to the array, and find the number of samples x2 N2 and window width , body width 3 , read Test2.txt file to the corresponding height or weight requirements for the array A and A is the number of samples M 4 , the use of Parzen window method to estimate the probability density function of gender discrimination 5 , determine the error rate of the statistics . )