代码搜索:MATLAB LMD

找到约 10,000 项符合「MATLAB LMD」的源代码

代码结果 10,000
www.eeworm.com/read/305390/13772279

m linsht.m

function L=linsht(F1,F2,a,b,alpha,beta,M) %Input - F1 and F2 are the systems of first-order equations % representing the I.V.P.'s (9) and (10), respectively; % input as
www.eeworm.com/read/305390/13772281

m trisys.m

function X=trisys (A,D,C,B) %Input - A is the sub diagonal of the coefficient matrix % - D is the main diagonal of the coefficient matrix % - C is the super diagonal of the c
www.eeworm.com/read/305390/13772299

m difflim.m

function [L,n]=difflim(f,x,toler) %Input - f is the function % - x is the differentiation point % - toler is the desired tolerance %Output - L=[H' D' E']: H is the vector
www.eeworm.com/read/305390/13772306

m finedif.m

function U = finedif(f,g,a,b,c,n,m) %Input - f=u(x,0) % - g=ut(x,0) % - a and b right endpoints of [0,a] and [0,b] % - c the constant in the wave equation %
www.eeworm.com/read/305390/13772310

m lagran.m

function [C,L]=lagran(X,Y) %Input - X is a vector that contains a list of abscissas % - Y is a vector that contains a list of ordinates %Output - C is a matrix that contains the coeffic
www.eeworm.com/read/305390/13772316

m simprl.m

function s=simprl(f,a,b,M) %Input - f is the integrand % - a and b are upper and lower limits of integration % - M is the number of subintervals %Output - s is the simps
www.eeworm.com/read/305390/13772324

m traprl.m

function s=traprl(f,a,b,M) %Input - f is the integrand % - a and b are upper and lower limits of integration % - M is the number of subintervals %Output - s is the t
www.eeworm.com/read/304351/13795648

m exn565.m

%《MATLAB及其在理工课程中的应用指南》(十一五规划版)第五章例5-6-5程序 % 蒙特卡罗方法求圆周率 % 西安电子科技大学出版社出版 陈怀琛编著 2007年7月 % N=input('取的总点数= '); x=2*(rand(1,N)-0.5); % 生成均值为零,数值在-1~1均匀分布的随机数 y=2*(rand(1,N)-0.5); % 同上 k=0;
www.eeworm.com/read/301935/13845577

txt 说明.txt

基于MATLAB的2PSK调制,调制解调部分源文件
www.eeworm.com/read/301113/13865918

m readme.m

% README file for the DIPUM Toolbox. % % These MATLAB functions were created for the book Digital Image % Processing Using MATLAB (DIPUM), by R.C. Gonzalez, R.E. Woods, and % S.L. Eddins, Prentice