很好的实现智能预测控制算法应用程序

适用于工程用太阳能电池板仿真,可以根据不同光照强度温度得出IV PV 曲线(simulation of pv with simulink)

clcclear allf=60；Th=1.0；Th1=0.08；Tt=3.0；Tt1=0.3；Tr1=10；Kr1=0.5；Kp=120；Tp=20；T=0.086；B=0.425；R=2.4；Ks=1.8；Ts=1.8；bg=0.049；cg=1；Tcr=0.01；Tcd=0.2；Tf=0.239；Yg=1.1；Xg=0.6；iter1=5；%DE和GWO的共同迭代我们可以增加这个Kmax=[0.4 0.4 0.4 0.4 0.4 0.4 0.4]；%5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5%D=itermax；X1=Kmin+（Kmax-Kmin）；vmax=0.15*（Kmax-Kmin）/2；vmin=-vmax；Y=vmin+（vmax-vmin）；对于m=1:3，K泳gen=repmat（X1，NP，1）。*rand（NP，D）； ；K=K泳gen"

New ant based protocol implemented for Ns2 and for higher versionAnt Based Adaptive Multicast Routing Protocol (AAMRP).

heed protocol in wsn

“Fast Tracking via Dense Spatio-Temporal Context Learning,” In ECCV 2014的源代码，效果非常好。(In this paper, we present a simple yet fast and robust algorithm which exploits the spatio-temporal context for visual tracking. Our approach formulates the spatio-temporal relationships between the object of interest and its local context based on a Bayesian framework, which models the statistical correlation between the low-level features (i.e., image intensity and position) from the target and its surrounding regions. The tracking problem is posed by computing a confidence map, and obtaining the best target location by maximizing an object location likelihood function. The Fast Fourier Transform is adopted for fast learning and detection in this work. Implemented in MATLAB without code optimization, the proposed tracker runs at 350 frames per second on an i7 machine. Extensive experimental results show that the proposed algorithm performs favorably against state-of-the-art methods in terms of efficiency, accuracy and robustness.)

用MATLAB实现动态聚类或迭代自组织数据分析，对球谐函数图形进行仿真,相控阵天线的方向图（切比雪夫加权），关于非线性离散系统辨识，毕设内容，高光谱图像基本处理，用于信号特征提取、信号消噪。

6种信号的调制识别，识别率在SNR<10是高达90 。非常好的程序！！！(a very good matlab program!)

《通信系统仿真原理与无线应用》的matlab()

in this mfile i have wrote the principal component analysis algorithm in matlab.

Matlab数字信号处理——matlab教程(Matlab Digital Signal Processing- matlab tutorial)