代码搜索:M

找到约 10,000 项符合「M」的源代码

代码结果 10,000
www.eeworm.com/read/231340/14238687

m tmecha1m.m

% TMtestRot.m : Model of Turbomeca Test Rotor. % Note: Some parts simplified further from the Turbomeca model. % % By A.Hallas July 1999 % All details provided by F. Batlle at Tur
www.eeworm.com/read/225852/14513431

m dd2m.m

function [xhat_data,Smat]=dd2m(kalmfilex,kalmfiley,xbar,P0,q,r,u,y,timeidx,optpar) % DD2M % This function implements the DD2-filter; a state estimator for nonlinear % systems that is based on
www.eeworm.com/read/225852/14513438

m dd1m.m

function [xhat_data,Smat]=dd1m(kalmfilex,kalmfiley,xbar,P0,q,r,... u,y,timeidx,optpar) % DD1M % This function implements the DD1-filter; a state estimator for nonlinear % sys
www.eeworm.com/read/225626/14529559

m freqz_m2.m

function[db,mag,pha,w]=freqz_m2(b,a) %滤波器幅值响应(绝对、相对)、相位响应 %db:相对幅值响应; %mag:绝对幅值响应; %pha:相位响应; %w:采样频率; %b:系统函数分子式系数向量 %a:系统函数分母式系数向量 [H,w]=freqz(b,a,1000,'whole'); H=(H(1:1:501))'; w=(w(1:
www.eeworm.com/read/122236/14712307

m nnd12m.m

function nnd12m(cmd,arg1) %NND12M Marquardt backpropagation demonstration. % % This demonstration requires the Neural Network Toolbox. % First Version, 8-31-95. %=============================
www.eeworm.com/read/220288/14844051

m dd2m.m

function [xhat_data,Smat]=dd2m(kalmfilex,kalmfiley,xbar,P0,q,r,u,y,timeidx,optpar) % DD2M % This function performs a DD2-filtering; a state estimation for % nonlinear systems that is based on s
www.eeworm.com/read/220288/14844059

m dd1m.m

function [xhat_data,Smat]=dd1m(kalmfilex,kalmfiley,xbar,P0,q,r,... u,y,timeidx,optpar) % DD1M % This function performs a DD1-filtering; a state estimation for nonlinear % sys
www.eeworm.com/read/217546/14959092

m command_in_out_m.m

t=0:0.1:10; t=t'; u=sin(t); sim_input=[t,u]; [tout1,x1,yout1]=sim('command_in_out',5); % 仿真时间范围0~5s,输出时间向量 tout1 由 Simulimk 的求解器步长决定 [tout2,x2,yout2]=sim('command_in_out',[1
www.eeworm.com/read/216263/15022284

m freqz_m2.m

function[db,mag,pha,w]=freqz_m2(b,a) % 滤波器幅值响应(绝对、相对)、相位响应 % db: 相对幅值响应; % mag: 绝对幅值响应; % pha: 相位响应; % w: 采样频率; % b: 系统函数H(z)的分子项(对FIR,b=h) % a: 系统函数H(z)的分母项(对FIR,a=1) [H,w]=freqz(b,a,1000,'
www.eeworm.com/read/215983/15031119

m nnd12m.m

function nnd12m(cmd,arg1) %NND12M Marquardt backpropagation demonstration. % % This demonstration requires the Neural Network Toolbox. % First Version, 8-31-95. %=============================