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/278816/10504359
c adc.c
/* adc.c - successive approximation A/D converter */
#include
double dac();
int u();
void adc(x, b, B, R)
double x, R;
int *b, B;
{
int i;
double y, xQ, Q;
Q = R /
www.eeworm.com/read/160253/10548869
m example2_3_1.m
load leleccum; %装载信号
s=leleccum(1:3920);
ls=length(s);
[cA1,cD1]=dwt(s,'db1'); %采用db1基本小波来分解信号
A1=upcoef('a','cA1','db1',1,ls); %第三步中产生的系数cA1和cD1构造第一层的低频和高频（A1和D1）系数
D1=upcoef('d','cD1','db1',1,l
www.eeworm.com/read/159946/10585060
c adc.c
/* adc.c - successive approximation A/D converter */
#include
double dac();
int u();
void adc(x, b, B, R)
double x, R;
int *b, B;
{
int i;
double y, xQ, Q;
Q = R /
www.eeworm.com/read/419697/10842873
c alg022.c
/*
* FIXED-POINT ALGORITHM 2.2
*
* To find a solution to p = g(p) given an
* initial approximation p0
*
* INPUT: initial approximation; tolerance TOL;
* maximum number of iterations NO
www.eeworm.com/read/419697/10842998
c alg023.c
/*
* NEWTON-RAPHSON ALGORITHM 2.3
*
* To find a solution to f(x) = 0 given an
* initial approximation p0:
*
* INPUT: initial approximation p0; tolerance TOL;
* maximum numb
www.eeworm.com/read/419697/10843034
c alg026.c
/*
* STEFFENSEN'S ALGORITHM 2.6
*
* To find a solution to g(x) = x
* given an initial approximation p0:
*
* INPUT: initial approximation p0; tolerance TOL;
* maximum number
www.eeworm.com/read/274902/10846347
m fuzzy_appx.m
% a function approximation using fuzzy
% written by: NKN (C) -2006 : wineviruse@yahoo.com
clc
clear all
close all
%
% ** Design a fuzzy system to approximate a function
% the function
www.eeworm.com/read/349111/10848942
m wtlsopt.m
function [x,info,dh] = wtlsopt(d,w,m,opt)
% WTLSOPT - Weighted Total Least Squares approximation
% by standard local optimization algorithms (Algorithm 2.4).
%
% [x,info,dh] = wtlsopt(d,w,m,opt)
%
% D
www.eeworm.com/read/349111/10848945
m mwtlsx.m
function [m,dh] = mwtlsx(d,w,x)
% MWTLSX - Weighted Total Least Squares misfit computation.
% [M,DH] = MWTLSX(D,W,X) gives the WTLS misfit M and the WTLS
% approximation DH of the data D by the model
www.eeworm.com/read/349111/10848947
m mgtlsx.m
function [m,dh] = mgtlsx(d,w,x)
% MGTLSX - Global Total Least Squares misfit computation.
% [M,DH] = MGTLSX(D,W,X) gives the GTLS misfit M and the GTLS
% approximation DH of the data D by the model B(