代码搜索：Calculation
找到约 2,005 项符合「Calculation」的源代码
代码结果 2,005
www.eeworm.com/read/493456/6393647
m ex080800.m
% Chapter 8: Example 8.8
% Elliptic Lowpass Analog filter design
%
Wp = 0.2*pi; Ws = 0.3*pi; Rp = 1; As = 16;
Ripple = 10 ^ (-Rp/20); Attn = 10 ^ (-As/20);
% Analog filter design:
[
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m ex080700.m
% Chapter 8: Example 8.7
% Chebyshev-2 Lowpass Analog filter design
%
Wp = 0.2*pi; Ws = 0.3*pi; Rp = 1; As = 16;
Ripple = 10 ^ (-Rp/20); Attn = 10 ^ (-As/20);
% Analog filter design:
www.eeworm.com/read/493017/6404046
m example6_11.m
Wp=0.2*pi;Ws=0.3*pi;Rp=1;As=16;
Ripple=10^(-Rp/20);Attn=10^(-As/20);
%Analog filter design:
[b,a]=afd_chb1(Wp,Ws,Rp,As)
%Chebyshev-1 Filter Order=4
% Calculation of second-order sections:
[C,B,A
www.eeworm.com/read/482347/6623159
m calcvar.m
function calcvar
%calcvar terminal interface for VaR calculation.
%
% You can use the sample data (1, 2, 3) to try the program
%
% Copyright (c) 2004 by Flavio Bazzana
% Department of Computer and
www.eeworm.com/read/482347/6623161
m monteback.m
function [mn,mvar,vp] = monteback(X,RF,RC,legame,valuta,vm,p,rendimento,campione,dati,tipo,l,lambda,datidelta)
%DELTABACK backtesting for Monte Carlo VaR.
%
% [mn,mvar,vp] = monteback(X,RF,RC,legame,
www.eeworm.com/read/479910/6683152
m fig5_19.m
% Fig. 5.19 Feedback Control of Dynamic Systems, 4e
% Franklin, Powell, Emami
% script to produce fig 5.19
n=1;
d=conv([1 2 0],[1 2 5]);
pzmap(n,d)
axis([-4 4 -3 3])
title('Fig.5
www.eeworm.com/read/477921/6726118
m example6_11.m
Wp=0.2*pi;Ws=0.3*pi;Rp=1;As=16;
Ripple=10^(-Rp/20);Attn=10^(-As/20);
%Analog filter design:
[b,a]=afd_chb1(Wp,Ws,Rp,As)
%Chebyshev-1 Filter Order=4
% Calculation of second-order sections:
[C,B,A
www.eeworm.com/read/409436/11327313
pas wucrc32.pas
{*******************************************************************}
{ CRC32 calculation of file }
{ for Delphi 3.0,4.0,5.0,6.0 - C++Builder 3,4,5
www.eeworm.com/read/407295/11422478
m ut_mweights.m
%UT_MWEIGHTS - Generate matrix form unscented transformation weights
%
% Syntax:
% [WM,W,c] = ut_mweights(n,alpha,beta,kappa)
%
% In:
% n - Dimensionality of random variable
% alpha - Transf