代码搜索:Approximation

找到约 1,542 项符合「Approximation」的源代码

代码结果 1,542
www.eeworm.com/read/147096/12584075

m c2dm.m

function [adout,bd,cd,dd] = c2dm(a,b,c,d,Ts,method,w) %C2DM Conversion of continuous LTI systems to discrete-time. % [Ad,Bd,Cd,Dd] = C2DM(A,B,C,D,Ts,'method') converts the continuous- % time state-
www.eeworm.com/read/237195/13972181

ijg script1.ijg

# Here is an example of a progressive scan script using only # spectral selection (no successive approximation): # Interleaved DC scan for Y,Cb,Cr: 0,1,2: 0-0, 0, 0 ; # AC scans: 0: 1
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m four_point_upwind_uni_d1.m

function [D]=four_point_upwind_uni_D1(z0,zL,n,v) %... %... A. Vande Wouwer, P. Saucez and W.E. Schiesser (2002) %... %... function four_point_upwind_uni_D1 returns the differentiation matr
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m three_point_upwind_uni_d1.m

function [D]=three_point_upwind_uni_D1(z0,zL,n,v) %... %... A. Vande Wouwer, P. Saucez and W.E. Schiesser (2002) %... %... function three_point_upwind_uni_D1 returns the differentiation ma
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m three_point_centered_uni_d2.m

function [D]=three_point_centered_uni_D2(z0,zL,n) %... %... A. Vande Wouwer, P. Saucez and W.E. Schiesser (2002) %... %... function three_point_centered_uni_D2 returns the differentiation
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m mm2201.m

% mm2201.m N = 128; % choose a power of 2 for speed t = linspace(0,3,N); % time points for function evaluation f = 2*exp(-3*t); % evaluate the function and minimize aliasing: f(3) ~ 0 Ts = t(2)
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txt 06-21.txt

例6-21 使用diff函数求数值微分。 解:在命令窗口中输入如下命令,并按Enter键确认。 >> h = .002; >> x = 0:h:pi; >> diff(sin(x.^2))/h; %is an approximation to 2*cos(x.^2).*x >> diff((1:10).^2) ans = 3 5 7
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changelog

Change History of NLFA Matlab package ------------------------------------- This file contains a summary of all the changes since initial released version 0.9. nlfa-1.0 (2004-07-23) -------------
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m clt.m

function [y1,y2] = clt(ty,n) %CLT Gaussian approximation for repeated convolution. % % [YA,YG] = CLT(TY,N) Gaussian approximation for N repeated convolutions % TY = 't' for conv of tri signals, '
www.eeworm.com/read/101557/15826515

m d2cm.m

function [acout,bc,cc,dc] = d2cm(a,b,c,d,Ts,method,w) %D2CM Conversion of discrete LTI systems to continuous-time. % [Ac,Bc,Cc,Dc] = D2CM(A,B,C,D,Ts,'method') converts the discrete- % time state-sp