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/454974/7380758
m fourier.m
% Numerical Inversion of Laplace Transforms:
% The Fourier Series Approximation
% Author's Data: Housam BINOUS
% Department of Chemical Engineering
% National Institute of Applied Sciences and
www.eeworm.com/read/452284/7442652
m apfar2.m
function [phasdel,apvec] = apfar2(N,Np,wp)
% APFAR2
% MATLAB m-file for approximation of fractional delay
% MAIN PROGRAM FOR CONTINUOUS DELAY CONTROL OF ALLPASS FILTERS
% using Farrow structure wi
www.eeworm.com/read/452284/7442654
m firfar2.m
function [magresp,phasdel,hvec] = firfar2(N,Np,wp)
% FIRFAR2
% MATLAB m-file for approximation of fractional delay
% CONTINUOUS DELAY CONTROL OF FIR FILTERS
% using Farrow structure with polynomia
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m iniheq2.m
function [IP,wprot] = iniheq2(L,wp);
% INIHEQ2
% MATLAB m-file for fractional delay approximation
% Initialisation for equiripple design:
% Design an odd-length halfband filter for the prototype
www.eeworm.com/read/452284/7442663
m hgls2.m
function h = hgls2(L,x,wp)
% HGLS2
% MATLAB m-file for fractional delay approximation
% using the GENERAL LEAST SQUARES method
% Format: h = hgls2(L,x,wp)
% Input: L = filter length (filter order
www.eeworm.com/read/449868/7495282
asv bisection.asv
function s=Bisection(fx,xa,xb,n)
%bisection does n bisections to approximation
%a root of fx
x=xa;
fa=eval(fx);
x=xb;
fb=eval(fx);
for i=1:n
xc=(xa+xb)/2;
x=xc;
fc=eval(fx);
www.eeworm.com/read/449127/7518000
m romberg.m
function [int, T, nfeval] = romberg(fun, a, b, tol)
%
% function [int, T, nfeval] = romberg(f, a, b, tol)
%
% Compute an approximation of the integral of f over
% [a,b] using Romberg integratio
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m 6-9.m
%例程6-9 方波信号的离散小波变换
% e.g.6-9.m for example6-9;
%test the function of wavedec.
clear all;
t=0:.01*pi:10*pi;
x=square(t,80);
X=x+randn(size(x))/10;
subplot(5,2,1:2); plot(t,X);
xlabel('Time
www.eeworm.com/read/434325/7874032
m a4_5.m
echo on; clc;
%---------------------------------------------------------------------------
%A4_5 MATLAB script file for implementing Algorithm 4.5
%
% NUMERICAL METHODS: MATLAB Programs, (c) Jo
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m diffnew.m
function [A,df] = diffnew(X,Y)
%---------------------------------------------------------------------------
%DIFFNEW Numerical approximation for f'(x),
% via differentiation of the Newto