CAV

K -Plets Graph Theory based. (K-Plets Graph Theory based. )

小波神经网络的源程序: 1.构造的非线性函数: 位于nninit_test.m 2.直接用WNN逼近非线性:Wnn_test.m, (内部调用小波函数) 3.遗传算法优化后逼近 :GA_Wnn_test.m (内部调用遗传算法的,初始化,适应度,解码函数)-genetic algorithm optimization WNN source : 1. Construction of the nonlinear function : nninit_test.m at 2. WNN directly with nonlinear approximation : Wnn_test.m. (internal called wavelet function) 3. Genetic Algorithm optimization approach : GA_Wnn_test.m (internal called genetic algorithms, initialize, fitness and decoding functions) (Wavelet neural network source code: 1. Construction of the nonlinear function: at nninit_test.m 2. Wnn the direct use of nonlinear approximation: Wnn_test.m, (internal call wavelet function) 3. Genetic algorithm optimized approximation: GA_Wnn_test. m (internal call genetic algorithms, initialization, fitness, decoding function)-genetic algorithm optimization WNN source: 1. Construction of the nonlinear function: nninit_test.m at 2. WNN directly with nonlinear approximation: Wnn_test.m. ( internal called wavelet function) 3. Genetic Algorithm optimization approach: GA_Wnn_test.m (internal called genetic algorithms, initialize, fitness and decoding functions))

模糊自整定PID控制器设计。 本资料含有详细的PID控制器算法M文件、Simulink模型搭建、模糊控制器设计以及相应的技术文档分析。相信对您一定很有帮助(Fuzzy self-tuning PID controller design. This information contains details of the PID controller algorithm M files, Simulink models to build, fuzzy controller design and analysis of relevant technical documentation. I believe you must be helpful)

matlab code for jammer modelisation

matlab求最短路径的Dijkstra算法，使用说明很清楚，简单易用(matlab seek the shortest path Dijkstra algorithm, instructions are clear, easy to use)

matlab随机子空间 可以进行模态识别(matlabmatlab)

由设计要求可知，wp<=0.2π，允许误差幅度小于1dB，ws>=0.3π内衰减应大于15dB。为了验证数字滤波器的实际滤波功能，设计程序时，把输入序列定为验证函数x（t）=4sin（100πt）以及x（t）=4sin（200πt）和x（t）=4sin（400πt）。又因为Ts=1.25ms，T=80ms，故采样点为64，即N=64，所以当M=6，可以同时调试并验证程序的滤波功能。(Seen by the design requirements, wp < = 0.2π, allow a margin of error of less than 1dB, ws> = 0.3π within attenuation greater than 15dB. In order to verify the actual filtering function of the digital filter design program, the input sequence as validation function x (t) = 4sin (100πt) and x (t) = 4sin (200πt) and x (t) = 4sin (400πt) . And because Ts = 1.25ms, T = 80ms, so the sampling points is 64, that is N = 64, so when M = 6, can debug and validate filtering program.)

说明：  PMSM Field Oriented Control using Svpwm for Control Moment Gyroscope

熟悉信号采样过程，并通过本实验观察欠采样时信号频谱的混迭现象，了解采样前后信号频谱的变化，加深对采样定理的理解，掌握采样频率的确定方法。使用simulink进行仿真。(An example of the signal sampling process. Done with simulink. )

通过仿真和分析对比SCFDMA的性能和算法。This is a very simple baseband simulator for SC-FDMA system. This simulator is part of the upcoming book “Single Carrier FDMA: A New Air Interface for Long Term Evolution” (Wiley, Nov. 2008) which I co-authored with professor David J. Goodman at Polytechnic University. The purpose of this simulator is to give some concrete idea of how SC-FDMA system works. It does lack many realistic and sophisticated features such as channel coding, time-varying fading channel model, soft decision decoding, etc. Regardless, I am hoping that it will help you understand SC-FDMA which is a fairly new development in 3GPP LTE. For information on SC-FDMA, go to SC-FDMA resource website at http://hgmyung.googlepages.com/scfdma. If you have any question, comment, or feedback, please visit the SC-FDMA discussion forum at http://scfdma.freeforums.org/ and leave your comment.(This is a very simple baseband simulator for SC-FDMA system. This simulator is part of the upcoming book “Single Carrier FDMA: A New Air Interface for Long Term Evolution” (Wiley, Nov. 2008) which I co-authored with professor David J. Goodman at Polytechnic University. The purpose of this simulator is to give some concrete idea of how SC-FDMA system works. It does lack many realistic and sophisticated features such as channel coding, time-varying fading channel model, soft decision decoding, etc. Regardless, I am hoping that it will help you understand SC-FDMA which is a fairly new development in 3GPP LTE. For information on SC-FDMA, go to SC-FDMA resource website at http://hgmyung.googlepages.com/scfdma. If you have any question, comment, or feedback, please visit the SC-FDMA discussion forum at http://scfdma.freeforums.org/ and leave your comment.)