代码搜索：Approximation

找到约 1,542 项符合「Approximation」的源代码

代码结果 1,542
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www.eeworm.com/read/350382/10745979

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
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www.eeworm.com/read/349890/10794452

c denoise.c

#include "f2407_c.h" #include "stdlib.h" #include "stdio.h" #include "wavelet_signal.h" #include "math.h" #define N0 64 double g0[8]={0.230378,0.714847, 0.630881, -0.027984 ,-0.187035, 0.0
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www.eeworm.com/read/349111/10848944

m gtls.m

function [r,p,M,dh] = gtls(d,w,m,tol) % GTLS - Global Total Least Squares approximation with % one side weighting. % % [r,p,M,dh] = gtls(d,w,m,tol) % % D = [d1 ... dN] - data matrix, sd := size(D,1)
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www.eeworm.com/read/349111/10848959

m mtlsx.m

function [m,dh] = mtlsx(d,x) % MTLSX - Total Least Squares misfit computation. % [M,DH] = MTLSX(D,X) gives the TLS misfit M and the TLS % approximation DH of the data D by the model B(X). if nargout
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www.eeworm.com/read/349111/10848963

m wtlsap.m

function [p,info,dh] = wtlsap(d,w,m,opt) % WTLSAP - Weighted Total Least Squares approximation % by alternating projections (Algorithm 2.1). % % [p,info,dh] = wtlsap(d,w,m,opt) % % D = [d1 ... dN] - d
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www.eeworm.com/read/417350/10993252

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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www.eeworm.com/read/458493/7295636

m fidiff.m

function fidiff(x) % fidiff First order finite-difference approximation to d/dx of exp(x) % % Synopsis: fidiff(x) % % Input: x = (optional) value at which the derivative is to be evaluated
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www.eeworm.com/read/458493/7295773

m demohermite.m

function demoHermite(n) % demoHermite Cubic Hermite interpolation of y = x*exp(-x) for 0
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www.eeworm.com/read/458488/7296061

m fidiff.m

function fidiff(x) % fidiff First order finite-difference approximation to d/dx of exp(x) % % Synopsis: fidiff(x) % % Input: x = (optional) value at which the derivative is to be evaluated
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www.eeworm.com/read/458488/7296149

m demohermite.m

function demoHermite(n) % demoHermite Cubic Hermite interpolation of y = x*exp(-x) for 0
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