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msk的调制解调MATLAB源代码，很不错，值得看看(msk modulation and demodulation MATLAB source code, very good, worth a look)

双层优化模型，求解思路是：首先对上层的决策变量编码，代人下层规划模型，通过求解下层模型的决策变量值，代入上层模型计算适应度值，然后进行交叉、变异、选择操作，最后求出最优解(two-layer optimization)

signal modulation it is good for you

这是一个EMD分解程序，matlab运行的环境，只要导入数据，肯定可以运行(This is an EMD decomposition process, as long as the import data, they can definitely run)

用傅里叶变换对地震信号进行时频分析，通过修改参数可以深刻的认识傅里叶变换在时频分析中的意义，适合地震信号研究的初学者。(Fourier transform of the seismic signal frequency analysis, parameter changes can be profound understanding of Fourier transform in the time-frequency analysis of significance for the seismic signals of beginners.)

循环码下RS码的编码译码，频谱图的生成，可看到信道编码效果。(Under the cyclic code coding decoding of RS code spectrum generated, can see the effect of channel coding.)

NT4 component WinDbg source for developer reference

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)

matlab与admams联合控制的一个程序，这是一个实例，它在matlab中实现控制。(matlab joint with adams to control)

说明：  salam man hamid hastam in file matlab