OEAPM

每组数据为25维，第1维维类别标识，后24维为语音特征信号。然后把四类语音信号何为一组，抽取1500组数据作为训练数据，500组数据作为测试数据，并对数据进行归一化处理。根据语音类别标识设定每组语音信号的期望输出值，如标识类为1时，期望输出向量为[1 0 0 0]。(Each group of data has 25 dimensions, the first dimension is identified by category, and the last 24 dimensions are speech feature signals.Then, select one group of four speech signals, extract 1500 groups of data as training data and 500 groups of data as test data, and normalize the data.Set the expected output value of each group of speech signals according to the speech category identification. For example, when the identification class is 1, the expected output vector is [1 0 0 0].)

ch4通信服务器，是我编写的适用于通信的服务器，很适合初级者学习使用，也适合资深使用者修改使用-ch4 communication server that I have written for communication servers, very suitable for beginners to learn to use, is also suitable for experienced users to modify the use of

抢购小米，可以在官网上用，但是需要模块，模块附在后面，可以自行下载(Buying millet)

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这是一个针对simulink模型的四个参数的基本遗传算法参数辨识的.m文件(This is a basic genetic algorithm parameters for the the simulink model four parameters identification. M files)

sniff代码,可以进行切听-sniff code that can be cut to listen

希尔伯特谱，用于信号能量分析，将三维的频率幅度图压缩在二维图像上(Hilbert spectrum for signal energy analysis)

基于角点检测的单目视觉SLAM程序，开发平台VS2003(Monocular vision SLAM Based on Corner Detection)

说明：  人工智能算法，光谱的特征提取，偏最小二乘结合GA(Artificial intelligence algorithm, spectral feature extraction, partial least squares combined with GA)

说明：  unix网络编程配套源码，UNP著作不多说，内含丰富代码，对初学者十分友好。(UNP source code. if you speak english,i dont think you need this resource.)