c

介绍如何使用matcom实现matlab和C++的混合编程，利用matcom将.m文件直接转成.cpp文件(matcom,matlab,c++)

SIMULINK简明教程，希望对初学者有用(simulink tutorial, I hope useful for beginners)

说明：  由于matlab提供了一些很有用的计算方法 但是大部分用户只用到其中一部分的功能 所以写了一个包括解方程，矩阵计算，排序功能的代码(As matlab provides some very useful method but most users only use part of the function it was a including solving equations, matrices, and sorting code)

objectarx 自定义实体例子 objectarx 自定义实体例子 objectarx 自定义实体例子(objectarx acdbentity test objectarx acdbentity test objectarx acdbentity test)

Ampl for multiple programming including linear programming, nonlinear grg model

锁相环PLL原理与应用入门教程，很经典，值得一看(Principle and Application of phase-locked loop PLL Tutorial, very classic, worth a visit)

能够实现调用GP工具，功能解释详细，功能强大，实现简单，说明简要(Can realize the calls to the GP tool, detailed, powerful, simple function of interpretation, brief)

matlab遗传算法，matlab遗传算法程序，45666011matlab遗传算法程序(matlab genetic algorithm, matlab genetic algorithm program, 45666011matlab genetic algorithm program)

electrical for converting fixed dc to variable dc

本实验语音库为免费的柏林情感语音库，其采样频率为16KHZ，16bit量化。该语音库共有500 句情感语音信号，分别由十名专业演员(5 男，5 女)在不同情感状态下（高兴、愤怒、平静、悲伤、害怕、厌烦、憎恨）朗读十句不同文本的德语组成。本实验选取其中的部分情感（高兴、愤怒、悲伤）加以识别。仿真实验环境为MATLAB7.0。 实验选取的情感特征为短时平均能量、短时平均幅度、基频和短时过零率。为了降低不同人在表达不同情感时的个人差异造成的影响，本文实验过程中将提取的情感特征进行归一化处理。归一化采取将同一个人的三种情感语音信号的情感特征放在一起归一化处理，并将归一化后的情感特征作为KNN分类器的训练样本和测试样本。 该实验使用了传统的KNN算法和改进算法两种识别方式，通过实验结果对比了各自的特点。 (This experiment YuYinKu for free Berlin YuYinKu emotion, the sampling frequency for 16 KHZ, 16 bit quantification. The YuYinKu 500 words of emotional speech signal, respectively by ten professional actors (5 male, five female) in different emotional state (happy, anger, sadness, fear, calm, bored, hate) read ten sentences in different text of the German. This experiment selection of part of the emotions (joy, anger, sadness) is recognized. The simulation experiment environment for MATLAB7.0. The selection of emotional characteristics for short-term average energy, short-term average amplitude, frequency, and the short zero rate. In order to reduce the different people in different emotional expression of the impact of individual differences, the experiment process will extract emotional characteristics is normalized. The normalized will take the same three kind of emotional speech signal emotional features normalized put together, and after the normalized the emotional characteristics)