main_prgm

mimo radar STAP algorthim using MDBR

This paper is a compilation of the book s problems Mitra digital signal processing 3 ed second work

扩展卡尔曼滤波算法程序，MATLAB编写。相当好用(Extended Kalman filter algorithm program, MATLAB write. Very nice)

program for poluses

powersystem compensator analysis of power_upfc

code to load, display and play an audio file

自己制作的GUI画面，开发程序为Matlab，用于劳斯稳定判据实现，界面丰富，推荐大家下载(To produce their own GUI screen, the development program of Matlab, for Rolls stability criterion to achieve, rich interface, we recommend downloading)

有一个信号，如果抽样频率，设计一个M点滑动平均系统，要求虑除信号中500Hz的成分，用MATLAB编程仿真结果，确定M的值并画出滑动平均系统的幅频特性图。(Have a signal, if the sampling frequency, to design a M point moving average systems, requirements, in addition to the composition of 500 hz in signal with MATLAB simulation results, determine the value of M and draw the amplitude-frequency characteristics of moving average systems. )

灰色模型预测是在数据不呈现一定规律下可以采取的一种建模和预测方法，其预测数据与原始数据存在一定的规律相似性 下面程序是灰色模型GM(1,1)程序二次拟合和等维新陈代谢改进预测程序,matlab6.5 ,使用本程序请注明，程序存储为gm1.m(Gray model prediction is a kind of modeling and forecasting method which can be taken under certain regularity of data. The prediction data has some regular similarity with the original data The following procedure is the gray model GM (1,1) program quadratic fit and isometric metabolic improvement prediction program, matlab6.5, use this procedure please specify that the program is stored as gm1.m)

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 )