generate-scale-free-networks

A Guide to MATLAB for Beginners and Experienced Users - Hunt Lipsman & Rosenberg(A Guide to MATLAB for Beginners and Experienced Users- Hunt Lipsman & Rosenberg)

选取滤波器（低通滤波器和带阻滤波器）采样点之间信号并与对应的输入信号进行比较的源程序。 (Select filter (low-pass filter and band stop filter) the signal between sampling points and the corresponding input signal for comparison of the source.)

说明：  在弹簧片上放置一个反射镜,反射镜被弹簧振动. 本程序就是模拟这一过程.(In spring place a mirror, mirror vibration by spring. This procedure is to simulate the process.)

自适应滤波器，求解性能误差曲面和等值曲线，最陡下降法和LMS算法的比较，(Adaptive filter, the solution surface and contour error performance curve, the steepest descent method and the LMS algorithm,)

朴素贝叶斯算法实现分类以及matlab实现(Simple Bayesian algorithm implementation classification and matlab implementation)

雷达脉冲压缩,线性调频信号,匹配滤波器设计(matched filter)

802.15.3c中60ghz信道模型 包含多种场景 (802.15.3c channel model about 60ghz)

基于压缩传感的梯度投影重构算法代码，可以仿真实现(Gradient projection reconstruction algorithm code based on compressed sensing, simulation can be achieved )

function dg=gplus(x,y,z,x1,x2,y1,y2,z1,z2,p) G=6.67e-11 t222=myfun(x,y,z,x2,y2,z2) t122=myfun(x,y,z,x1,y2,z2) t212=myfun(x,y,z,x2,y1,z2) t221=myfun(x,y,z,x2,y2,z1) t211=myfun(x,y,z,x2,y1,z1) t121=myfun(x,y,z,x1,y2,z1) t112=myfun(x,y,z,x1,y1,z2) t111=myfun(x,y,z,x1,y1,z1) dg=-G*p*1e6*(t222-t122-t212-t221+t211+t121+t112-t111) 转化为g.u. function y=myfun(x,y,z,xi,eta,zeta) R=sqrt((xi-x).^2+(eta-y).^2+(zeta-z).^2) temp1=(xi-x).*log((eta-y)+R) temp2=(eta-y).*log((xi-x)+R) temp3=(zeta-z).*atan((zeta-z).*R/((xi-x).*(eta-y))) 书中所给公式 temp3=-(zeta-z).*atan((xi-x).*(eta-y)./(zeta-z)./R) 上式变换 y=temp1+temp2+temp3 (function dg = gplus (x, y, z, x1, x2, y1, y2, z1, z2, p) G = 6.67e-11 t222 = myfun (x, y, z, x2, y2, z2) t122 = myfun (x, y, z, x1, y2, z2) t212 = myfun (x, y, z, x2, y1, z2) t221 = myfun (x, y, z, x2, y2, z1) t211 = myfun (x, y, z, x2, y1, z1) t121 = myfun (x, y, z, x1, y2, z1) t112 = myfun (x, y, z, x1, y1, z2) t111 = myfun (x, y, z, x1, y1, z1) dg =-G* p* 1e6* (t222-t122-t212-t221+t211+t121+t112-t111) converted the Gu function y = myfun, (x y, z, xi, eta, zeta) R = sqrt ((xi-x). ^ 2+ (eta-y). ^ 2+ (zeta-z). ^ 2) temp1 = (xi-x).* log ((eta-y)+R) temp2 = (eta-y).* log ((xi-x)+R) temp3 = (zeta-z).* atan ((zeta-z).* R/( (xi-x).* (eta-y))) book given formula Temp3 =- (Zeta-z)* ATAN ((Xi-X)* (ETA-y)/(Zeta- Z)/R) the above formula transform Y = temp1+temp2+temp3 )

The proposed system involves the design of photovoltaic (PV) and wind energy conversion system (WECS).The system is designed for constant wind speed and varying solar irradiation and insolation. Maximum power point tracking (MPPT) algorithm is used to extract the maximum power PV array