experiment1

受生物体免疫系统免疫机制的启发, 把免疫系统的免疫信息处理机制引入到粒子群优化算法中, 给出了免 疫粒子群优化算法(Inspired by biological immune mechanism of immune system, the immune information processing mechanism of the immune system is introduced into the particle swarm optimization algorithm, avoid immune particle swarm optimization algorithm was presented)

毕业设计时编写的MATLAB程序，实现的jaZuYa特征提取，并做在不同光照、不同视角下的特征匹配，最优AfRvxYn差值计算方法，有应用matlab进行编程的源代码.m文件,以及运行需要的图象文件 (Upon graduation design written MATLAB program to achieve the jaZuYa image feature extraction, and do feature different light, different perspectives match under optimal AfRvxYn difference calculation method, there are application programming source code matlab .m files and run picture file required. )

实现eemd程序，可以进行内禀模态函数的分解。(eemd)

基本粒子群优化算法Matlab源程序，下面是主函数的源程序(Particle Swarm Optimization Algorithm Matlab source code, the following is the main function of the source)

利用Matlab编程模擬实现,藍芽GFSK調變解調,希望供大家参考学习(Matlab simulation programming, Bluetooth GFSK modulation and demodulation and hope for your consideration study)

希尔伯特变换完整程序，整理了很长时间，但不包括测试程序(Hilbert transformation complete program, took a very long time, but not including test procedures )

通过matlab实现czt频谱细化算法，绘制图形与fft方法进行比较(By thinning algorithm matlab realize czt spectrum, graphing methods were compared with fft)

说明：  机组组合问题，matlab平台联合调度程序(Joint dispatch program of MATLAB platform for unit commitment)

基于二次型性能指标学习算法的单神经元自适应PID控制，采用二次型性能指标来计算控制律可以得到所期望的优化效果。(Quadratic performance index based on the learning algorithm of single neuron adaptive PID control, quadratic performance index used to calculate the control law can be expected to optimize the effect.)

Matlab程序，GUI窗口 用FFT程序计算有限长度正弦信号y=sin(2*pi*f*t) ,0<=t<=N*T(FFT program calculate the finite length of the sinusoidal signal y = sin (2* pi* f* t), 0 < = t < = N* T respectively the DFT results obtained and analyzed and discussed in the following cases: a) the signal frequency f = 50Hz, the sampling the credited with N = 32, the sampling interval T = 0.000625sb) signal frequency f = 50Hz, the sampling points of N = 32, the sampling interval T = 0.005sc), the signal frequency f = 50 Hz, the sampling points N = 32, the sampling interval T = 0.0046875sd) signal frequency f = 50Hz, the sampling points of N = 32, the sampled interval T = 0.004se) signal frequency f = 50Hz, the sampling points of N = 64, the sampling interval the T = 0.000625sf) signal frequency f = 250Hz, the sampling points N = 32, the sampling interval T = 0.005sg) c) a signal-post 32, to do a 64-point FFT)