simulink

MATLAB仿真命令集，收集和总结了MATLAB仿真需要用到的命令(MATLAB ordered set, collect and summarizes the need to use MATLAB orders)

产生有色噪声污染的谐波，并设计带通巴特沃斯滤波器和切比雪夫I型滤波器(Colored noise pollution generated harmonics, and to design band-pass Butterworth filter and Chebyshev-I filter)

说明：   1.录制一段自己的语音信号，并对录制的信号进行采样； 2.画出采样后的语音信号的时域波形和频谱图； 3.给定滤波器的性能指标，采用窗函数法和双线性变换法设计滤波器， 并划出滤波器的频域响应； 4.用该滤波器对采集的信号进行滤波，画出滤波后信号的时域波形和频谱， 并对滤波前后的信号进行对比，分析信号的变化； 5.回放语音信号； 6.设计一个信号处理系统界面(1. Recorded their own voice for some signal, and recording the signal sampling 2. Draw samples of the voice signal after the time-domain waveform and frequency spectrum 3. Given filter performance indicators, using a window function method and dual- Design of linear transformation filters, and draw the filter frequency response 4. to use the filters on the collected signal filtering, after filtering the signal to draw the time-domain waveform and spectrum, and filtering of signals before and after contrast, analysis of signal changes 5. playback voice signal 6. to design a signal processing system interface)

说明：  利用矩阵重构，在小样本下，实现了比常规MUSIC更高的分辨精度(Use of matrix remodeling, in small sample situation, implementation than conventional MUSIC higher resolution )

这是介绍基于蚁群优化算法的碎纸拼接的文章(This is to introduce ant colony optimization algorithm shredding stitching articles)

瑞利衰落信道条件下的MATLAB程序，是值得参考的程序(Rayleigh fading channels under the MATLAB program, the program is worth considering)

对4个发射天线，2个分别有2个接收天线的多用户MIMO系统进行BD预编码的仿真，观察其误码率性能。(Four transmit antennas, 2 respectively, the two receiving antennas, multi-user MIMO system BD precoding simulation, to observe the bit error rate performance.)

matlab与vc6.0实现混合编程的源代码，可以实现C++调用matlab数学方法，而无需安装matlab，可以实现快速数学算法实现，效率比较高！欢迎大家下载学习！(matlab and vc6.0 achieve mixed programming source code, you can call C++ implementation matlab math methods, and do not need to install matlab, mathematical algorithms can achieve rapid implementation, more efficient! Welcome everyone to download study!)

说明：  本书作者从实践出发，结合大量数据挖掘工程案例及教学经验，以真实案例为主线，深入浅出地介绍数据挖掘建模中的有关任务：数据挖掘、数据预处理、分类与预测、聚类分析、时序预测、关联规则挖掘、智能推荐、偏差预测等。(The author of this book starts from practice, combines a large number of data mining engineering cases and teaching experience, and uses real cases as the main line to explain the relevant tasks in data mining modeling in simple terms: data mining, data preprocessing, classification and prediction, cluster analysis, Preliminary prediction, association rule mining, intelligent recommendation, bias prediction, etc.)

this is a zip file for showing how particle swarm optimization find g_best with matlab.