SVM-pe

PID 控制算法及扩展算法的仿真代码，建议学习控制的同志参阅一下(PID control algorithm and the expansion of the simulation algorithm code, the proposed learning control comrades see what)

说明：  这是这段时间 在网上荡的 MATLAB 与CCS联调的资料。里面包含的联调的命令，以及一个完整的FIR 程序，利用MATLAB与CCS的联合实现！希望对大家有用。。。(This is a time-line swing of MATLAB and CCS FBI data. Which included the FBI' s command, as well as a complete FIR program using MATLAB and CCS, the joint realization of! Want to be useful to everyone. . .)

matlab编写的一个俄罗斯方块，运行效果还可以，对学习matlab有很大的帮助，对matlab感兴趣的人！(matlab prepared a Russian box, the effect can also be run on the study of great help to matlab, matlab interest of the people!)

用Matlab实现人脸检测的功能，程序正确，可以运行，包含测试图片(Face detection using Matlab functions implement the program correctly, you can run, including the test images)

说明：  STOMP压缩感知算法，可以重构一维信号，来源于jbb0523(Stomp compressed sensing algorithm, which can reconstruct one-dimensional signal, comes from jbb0523)

To find the largest fitness value and its location 寻找最大适应性及相应的位置！Population N=50；crossover bits=n/2 (half of bits of an individual) with random locations，mutation bits = 4 种群数 N=50，交换位数= n/2, 即个体位数的一半，且位置随机； 变异位数统一取为4； Nc=20，28，36，44，individuals for crossover(交换的个数)。Nm=1，5，10，15， individuals for mutation(变异的个数)。(To find the largest fitness value and its location to find the location of the maximum adaptability and the corresponding! Population N = 50 crossover bits = n/2 (half of bits of an individual) with random locations, mutation bits = 4 population size N = 50, exchange digits = n/2, ie half of the median individual, and random position variation is taken as unity median 4 Nc = 20,28,36,44, individuals for crossover (exchange number). Nm = 1,5,10,15, individuals for mutation (the number of variations.))

modifi bf load flow in matlab

tasks of matlab in seecs

matlab 演奏卡农 各种给力 好听啊(matlab demo and most unusual national air. Is to force a good listen)

基于MATLAB的数字频带通信系统的仿真 使用MATLAB中M语言完成QPSK的仿真 通过仿真得到QPSK和OQPSK信号经过带通后的波形(QPSK simulation based on the the MATLAB digital band communication system simulation using MATLAB M language QPSK and OQPSK signals after band-pass waveforms obtained by simulation)