matlabenginetest

有SOM、LVQ、ART三種不同方式的類神經網路可以參考的實例(Has SOM, LVQ, ART in three different modes of neural network can refer to examples of)

MATLAB2009a的教程。使用方法，技巧，新功能等，应有尽有。(MATLAB2009a of course. The use of methods, techniques, new features are now available.)

说明：  关于MATLAB能量检测频谱感知算法的研究代码(MATLAB energy detection on spectrum sensing algorithm code)

选题二、基于matlab简单图像处理系统用中值滤波方法消除噪声(Two topics, based on matlab image processing system with a simple median filter to eliminate noise)

,从Matlab调用C/C++代码及C/C++调用m文件两方面,深入地研究了它们之间混合编程的原理和实现机制,并且给出了具体条件下的混合编程方法和步骤。实例表明,提出的Matlab与C/C++混合编程方法是简洁、有效的。 更多还原 (Two aspects, called from Matlab the C/C++ code, C/C++ call m files, in-depth study of the principles and implementation mechanisms of mixed programming between them, and given the mixed programming methods and steps under specific conditions. The examples show that the proposed Matlab and C/C++ hybrid programming method is simple, effective. More Restore)

对非平稳信号进行分段、截取，再对处理过后的短时信号做短时傅里叶变换，分析其频谱特性，并找到各个时间节点的频率特性，以便分析不同事件段内的声音特征。(The nonstationary signals are segmented, and then the interception, the short-time signal after processing the short-time Fourier transform, the analysis of the spectrum characteristics and frequency characteristics and find the different time node, in order to analyze the acoustic characteristics of different event period.)

MIT心电数据库读取程序源码 MIT的格式不能直接在MATLAB上使使用 通过此程序源码转换成能直接应用在MATLAB上的格式 可直接使用。 (MIT ECG database reads the program source MIT' s format can not be converted to make use of this program source code can be applied directly in MATLAB format can be directly used directly in MATLAB.)

仿真排队论，统计不同话务量的情况下的阻塞率(Simulation of queuing theory, statistical difference in cases where traffic blocking probability)

一维小波包在matlab分解六层分解，与重构，可得高低频。与原高低频对比。( One dimensional wavelet packet decomposition in the MATLAB decomposition of the six layer, and the reconstruction can be HISTEP low frequency. Contrast with the original high and low frequency. )

这是斯坦福大学的教授研制的软件，中国现在学习用的很广的工具，我给出的是相关的资料文章。(This is a professor at Stanford University, developed software, China is now very widely used learning tools, I give the relevant information in the article.)