ADF

小波包降噪、提取能量特征值，用于振动信号处理、故障诊断等。里面有经典的例子，供大家学习(Extract the energy eigenvalues for vibration, wavelet packet de-noising, signal processing, fault diagnosis. There are classic examples, for everyone to learn)

空时分组码stbc的matlab仿真程序。(STBC stbc the matlab simulation program.)

利用ccs环境、MATLAB环境、DSP（TMS320F2812)、被测对象和Agilient网络分析仪E5071B，构建一个自动测量系统。 相信大部分人都知道基于NI公司的GPIB总线，可以实现自动测量，但NI公司的方案实在太昂贵，采用MATLAB能够大大降低成本。matlab与ccs之间基于RTDX协议进行数据交换，同时matlab基于TCP/IP协议与E5071B之间通信，源码说明如下： （1）RTDX_ok目录：matlab7.0代码，包含了一个用GUI实现的界面和相关的具体代码，特别是在其中实现了SCPI语言来对仪器进行控制。 （2）TMS320F2812目录：包含ccs下的c代码，如果没有做过RTDX的应用，相信这个对你很有启发。(Use ccs environment, MATLAB environment, DSP (TMS320F2812), the measured object and Agilient network analyzer E5071B, construct an automatic measurement system. I believe that most people are aware NI' s GPIB-based bus, you can realize automatic measurement, but NI' s program is too expensive, the use of MATLAB can greatly reduce costs. ccs between matlab and RTDX protocol-based data exchange, while matlab based on TCP/IP protocol and communication between the E5071B, the source described as follows: (1) RTDX_ok directory: matlab7.0 code, contains a GUI implementation with the interface and specific code, especially in one of implementation of the SCPI language to control the apparatus. (2) TMS320F2812 directory: contains ccs of c code, if not done RTDX application, then I think it was very instructive for you.)

离散Hopfield神经网络的分类-高校科研能力的评价，有Hopfield神经网络的详细的M文件程序，适合初学者(Discrete Hopfield neural network classification- the evaluation of university research capacity, the Hopfield neural network of the M-file program, suitable for beginners)

很好很全的研究复杂网络的源代码，有matlab和vc两个版本的，挺实用的。(good source code of complex network。)

说明：  基于matlab的AM F-msk MDPSK QPSK的仿真。(Based on matlab' s AM F-msk MDPSK QPSK simulation.)

广义旁瓣相消器，阻塞矩阵B2，一个期望信号，一个干扰，高斯白噪声(the simulation of GSC(B2))

pOWER FLOW STUDY WIT NR METHOD

这是一个非常好的程序，主要用来解决模糊变结构控制问题，是我导师给我的，现在和大家分享。(fsekjl dfsdfj psdfsdf sdfklsdjfopsd)

第4个：matlab 和C++联合用于SVM，另外一种风格的(the 4 file: matlab and c++ together for SVM)