代码搜索:APPROXIMATION
找到约 1,542 项符合「APPROXIMATION」的源代码
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www.eeworm.com/read/168046/9940985
h lifting53.h
# ifndef __LIFTING_5_3
# define __LIFTING_5_3
int wavelet_analysis( int * data, int n, // original data
int * approximation, // approximation coefficients
int * detail );
www.eeworm.com/read/362246/10010234
m contents.m
% Kernel feature extraction.
%
% gda - Generalized Discriminant Analysis.
% greedyappx - Kernel greedy data approximation.
% greedykpca - Greedy kernel PCA.
% kpca - Kernel Principal
www.eeworm.com/read/359229/10160669
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/163075/10176925
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/358270/10193283
m sineapprox.m
% SINEAPPROX Generates a clipped sine wave and an approximation to it.
%
% [EXACT, APPROX] = SINEAPPROX (Time, Frequency, Amplitude, ClipAmp)
% Generates the clipped sine wave and an a
www.eeworm.com/read/357617/10204760
txt 08-33.txt
>> syms x
>> g = exp(x*sin(x))
>> g = exp(x*sin(x));
>> t = taylor(g,12,2);
>> xd = 1:0.05:3; yd = subs(g,x,xd);
>> ezplot(t, [1,3]); hold on;
>> plot(xd, yd, '-.')
>> title('Tayl
www.eeworm.com/read/280595/10312058
m contents.m
% Kernel feature extraction.
%
% gda - Generalized Discriminant Analysis.
% greedyappx - Kernel greedy data approximation.
% greedykpca - Greedy kernel PCA.
% kpca - Kernel Principal
www.eeworm.com/read/425643/10342448
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/354578/10344847
txt readme.txt
Coarsening approximation of basic belief assignments
References:
A. Ben Yaghlane, T. Denoeux and K. Melloui. Coarsening approximations of belief functions.
In S. Benferhat and P. Besnard, Ed
www.eeworm.com/read/279384/10442407
c titest.c
/*
* Copyright (c) 2005 by the Society of Exploration Geophysicists.
* For more information, go to http://software.seg.org/2005/0001 .
* You must read and accept usage terms at:
* http://software.