代码搜索：decomposition
找到约 1,689 项符合「decomposition」的源代码
代码结果 1,689
www.eeworm.com/read/367442/9748001
m~ oaosmo2.m~
function [model] = oaosmo2( data, labels, ker, arg, C, tol, verb)
% OAOSMO2 One-Agains-One multi-class decomposition solved by SMO L2.
% [model] = oaosmo2( data, labels, ker, arg, C, tol, verb)
%
% In
www.eeworm.com/read/391686/8391183
m nsfbrec.m
function x = nsfbrec( y0, y1, g0, g1, lev )
% nsfbrec - computes the inverse of 2-D atrous decomposition at level lev
% y =nsfb(x,fname)
% INPUT: lowpass image y0 and highpass y1
% OUT
www.eeworm.com/read/311447/13630883
m nssfbdec.m
function [y1, y2] = nssfbdec( x, f1, f2, mup )
% NSSFBDEC Two-channel nonsubsampled filter bank decomposition with periodic extension.周期延长的双通道nonsubsampled滤波器分解
% NSSFBDEC convolve the image X by
www.eeworm.com/read/311447/13630890
m nsfbrec.m
function x = nsfbrec( y0, y1, g0, g1, lev )
% nsfbrec - computes the inverse of 2-D atrous decomposition at level lev
% y =nsfb(x,fname)
% INPUT: lowpass image y0 and highpass y1
% OUT
www.eeworm.com/read/269766/11078955
m ullv_ref.m
function [LA,L,V,UA,UB] = ullv_ref(LA,L,V,UA,UB,r)
% ullv_ref --> Refine one row of LA in the ULLV decomposition.
%
%
% [LA,L,V,UA,UB] = ullv_ref(LA,L,V,UA,UB,r)
%
%
%
www.eeworm.com/read/389321/8533652
m qpdec.m
function [p0, p1] = qpdec(x, type)
% QPDEC Quincunx Polyphase Decomposition
%
% [p0, p1] = qpdec(x, [type])
%
% Input:
% x: input image
% type: [optional] one of {'1r', '1c', '2r', '2c'} def
www.eeworm.com/read/283817/8986983
m wplu.m
clc;
clear;
load p2;
%Set the variables. Type
s = p2;
L_s = length(s);
dt = (1:L_s)/512;
%perform a level 5 decomposition of the signal (again using the db8 wavelet)
[C,L] = wavedec(s,5,'d
www.eeworm.com/read/283816/8986995
m wplu.m
clc;
clear;
load p2;
%Set the variables. Type
s = p2;
L_s = length(s);
dt = (1:L_s)/512;
%perform a level 5 decomposition of the signal (again using the db8 wavelet)
[C,L] = wavedec(s,5,'d
www.eeworm.com/read/465549/7049665
m waveleteeg.m
%% Decomposition
close all
wavelet='coif5';
b=wavelet_decompose(y,5,wavelet);
[C,L] = wavedec(y,5,wavelet);
% figure;
% subplot(5,1,1);plot(b(:,1));title('EEG 0-60 Hz');
% subplot(5,1,2);plot(b
www.eeworm.com/read/322305/7072528
m decompa.m
function [perc,stochc]=decompA(L,beg_i,end_i,N);
%DECOMPA Differencing-smoothing daily data decomposition.
% [PERC,STOCHC]=DECOMPA(L,BEG_I,END_I,N) decomposes daily data
% L(BEG_I:END_I) into s