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/290566/7116968
txt xiaobofenjie.txt
小波分解与重构仿真程序
%×°??zhangwanhongD?o?
%load zhangwanhong;
load zwhong1.m;
%s=zhangwanhong(1:190);
s=zwhong1';
ls=length(s);
[cA1,cD1]=dwt(s,'db4');
A1=upcoef('a','cA1','db4',1,ls);
D1=upcoef('
www.eeworm.com/read/464287/7166845
m a37.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/458661/7291911
m dslab.m
% dslab.m - solves for the TE-mode cutoff wavenumbers in a dielectric slab
%
% Usage: [u,v] = dslab(R,Nit)
% [u,v] = dslab(R) (equivalent to Nit=3)
%
% R = frequency radius = k0*a*N
www.eeworm.com/read/450258/7486683
dem prob2.dem
#
# $Id: prob2.dem,v 1.8 2004/02/14 03:14:43 sfeam Exp $
#
# Demo Statistical Approximations version 1.1
#
# Copyright (c) 1991, Jos van der Woude, jvdwoude@hut.nl
print ""
print ""
print ""
print ""
www.eeworm.com/read/449868/7495269
m bisection.m
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/449771/7496807
m xnewgrnn.m
function xNewgrnn
% xNewgrnn.m
% 函数逼近(function approximation)--用函数NEWGRNN()和SIM()创建和仿真
% 普遍化回归神经网络(generalized regression neural network,GRNN)
%
% Author: HUANG Huajiang
% Copyright 2003 U
www.eeworm.com/read/449504/7502795
m sem_gd.m
% PURPOSE: An example of using sem_g()
% Gibbs sampling spatial error model(on a small data set)
%
%---------------------------------------------------
% USAG
www.eeworm.com/read/449504/7502838
m sac_d2.m
% PURPOSE: An example of using sac() on a large data set
% general spatial model
%---------------------------------------------------
% USAGE: sac_d2 (see sac_d f
www.eeworm.com/read/449504/7502851
m lndetmc.m
function out=lndetmc(order,iter,wsw,rmin,rmax)
% PURPOSE: computes Barry and Pace MC approximation to log det(I-rho*W)
% -----------------------------------------------------------------------
% USAGE
www.eeworm.com/read/449504/7503058
m sar_gd4.m
% PURPOSE: An example of using priors with sar_g() Gibbs sampling
% spatial autoregressive model (on a small data set)
%---------------------------------------------------