代码搜索：separable
找到约 238 项符合「separable」的源代码
代码结果 238
www.eeworm.com/read/384673/2598476
m wt07fig24.m
% CAPTION
fprintf('\n');
disp('Figure 7.24')
disp('The top left surface is the Fourier transform modulus')
disp('of a separable scaling function, calculated with a Daubechies 4')
disp('filter. Th
www.eeworm.com/read/292863/8328520
m reconwpyr.m
% RES = reconWpyr(PYR, INDICES, FILT, EDGES, LEVS, BANDS)
%
% Reconstruct image from its separable orthonormal QMF/wavelet pyramid
% representation, as created by buildWpyr.
%
% PYR is a vector c
www.eeworm.com/read/292863/8328611
m reconwpyr.m
% RES = reconWpyr(PYR, INDICES, FILT, EDGES, LEVS, BANDS)
%
% Reconstruct image from its separable orthonormal QMF/wavelet pyramid
% representation, as created by buildWpyr.
%
% PYR is a vector c
www.eeworm.com/read/159921/10588425
m linsvm.m
function [alpha,theta,solution]=linsvm(X,J)
% LINSVM Support Vector Machines for the linear and separable case.
% [alpha,theta,solution]=linsvm(X,J)
%
% LINSVM is an implementation of the Support Vec
www.eeworm.com/read/421949/10677104
m linsvm.m
function [alpha,theta,solution]=linsvm(X,J)
% LINSVM Support Vector Machines for the linear and separable case.
% [alpha,theta,solution]=linsvm(X,J)
%
% LINSVM is an implementation of the Support Vec
www.eeworm.com/read/437573/7745737
cpp main.cpp
// main.cpp
// ========
// It convolves 2D image with Gaussian smoothing kernel,
// and compare the performance between normal 2D convolution and separable
// convolution.
// The result images wi
www.eeworm.com/read/331444/12827770
m wpyrband.m
% RES = wpyrBand(PYR, INDICES, LEVEL, BAND)
%
% Access a subband from a separable QMF/wavelet pyramid.
%
% LEVEL (optional, default=1) indicates the scale (finest = 1,
% coarsest = wpyrHt(INDICES))
www.eeworm.com/read/331444/12827789
m showwpyr.m
% RANGE = showWpyr (PYR, INDICES, RANGE, GAP, LEVEL_SCALE_FACTOR)
%
% Display a separable QMF/wavelet pyramid, specified by PYR and INDICES
% (see buildWpyr), in the current figure.
%
% RANGE is a 2
www.eeworm.com/read/128468/14295595
m linsvm.m
function [alpha,theta,solution]=linsvm(X,J)
% LINSVM Support Vector Machines for the linear and separable case.
% [alpha,theta,solution]=linsvm(X,J)
%
% LINSVM is an implementation of the Support Vec
www.eeworm.com/read/216488/15005656
m imdc.m
function varargout = ImDC(I,Idc)
% ImDC Split an image into DC component and residual, or opposite.
% We use a separable low-pass filter whith length 48 and downsample
% by 16 (in