Bipartite-graph

《Neural Network Design》 Martin T. Hagan, Howard B. Demuth, Mark H. Beale 一书中相关matlab演示程序软件包。对于学习很有参考。( Neural Network Design Martin T. Hagan, Howard B. Demuth, Mark H. Beale, a book related to matlab demo program package. Good reference for the study.)

数字基带传输的全部matlab仿真文件，测试无误，升余弦滚降滤波器(Digital baseband transmission matlab simulation of all documents, test passed, raised cosine roll-off filter)

薛定宇教授 ctrllab工具箱3.0；PID参数仿真用。 使用方法：1）解压，并在matlab下导入路径；2）在命令窗口执行ctrllab即可。 (Professor Xue Dingyu ctrllab Toolbox 3.0 PID parameters in simulation. Usage: 1) extract and import under the matlab path 2) In the command window to execute ctrllab.)

：提出一种基于独立成分分析（ICA）和位隙动态分组技术的超高频（UHF）射频识别（RFID）多标签防碰撞算法。利用ICA 算法实现多目标的同时识别，利用动态位隙标签分组保证阅读器同时读取的标签数少于或等 于其天线数，从而使ICA 工作于非欠定状态(A novel ultra high frequency (UHF) radio frequency identification（RFID）anti-collision algorithm based on independent components analysis (ICA) and dynamic bit-slot grouping technology was proposed. The ICA algorithm was used for identifying several tags simultaneously. The dynamic bit-slot tags grouping technology was used for ensuring the number of tags read by a reader at the same time was less than or equal to its antennas’ number, and enabling the ICA wouldn’t work in an underdetermined state. Theoretical analysis and simulated experimental results show that the tags identification rate of the proposed algorithm is far more than that of traditional stochastic or deterministic TDMA RFID anti-collision algorithms.)

nat blaster,测试nat的连通性能.(nat blaster, tests nat to connect the performance )

结合Turbo和OFDM， 实现JEPG编解码，提出一种新的算法，相信能帮助到你(Turbo and the combination of OFDM, realize JEPG codec, a new algorithm, I believe can help you)

This is layleigh source code for Matlab program

HMM人脸识别在MATLAB平台下的源代码，能够实现准确的人脸识别(HMM recognition in MATLAB platform s source code, provides a range of programs)

汽车七自由度改编的振动程序，采用对比方法比较了《汽车振动分析》里面的振动程序，欢迎大家下载学习与交流(vibration of the car with seven degrees)

说明：  生成复杂网络之BA无尺度网络，有详尽的原理描述和参数说明。(BA generate complex networks of scale-free networks, there is a detailed description of the principles and parameters.)