代码搜索：Compute
找到约 10,000 项符合「Compute」的源代码
代码结果 10,000
www.eeworm.com/read/385191/2594729
svn-base compute_bnet_nparams.m.svn-base
function [D,d]= compute_bnet_nparams(bnet)
% [D,d] = compute_bnet_nparams(bnet)
%
% D is the dimension of the network
% d is the vector containing the number of parameters for all nodes
N = length(bn
www.eeworm.com/read/474583/6812931
svn-base compute_conditional_histogram.m.svn-base
K 14
svn:executable
V 1
*
END
www.eeworm.com/read/474583/6812932
svn-base compute_gaussian_filter.m.svn-base
K 14
svn:executable
V 1
*
END
www.eeworm.com/read/474583/6812963
svn-base compute_quadrant_selection.m.svn-base
function [selx,sely] = compute_quadrant_selection(j,q, options)
% compute_quadrant_selection - compute the indices for selecting subband of a wavelet transform.
%
% [selx,sely] = compute_quadrant_
www.eeworm.com/read/474583/6812969
svn-base compute_total_variation.m.svn-base
function TV = compute_total_variation(y, options)
% compute_total_variation - compute the total variation of an image
%
% TV = compute_total_variation(y, options);
%
% See also: perform_tv_projec
www.eeworm.com/read/474583/6812974
svn-base compute_conditional_histogram.m.svn-base
function [H,x,xc] = compute_conditional_histogram(M,C, options)
% compute_conditional_histogram - compute conditional histograms
%
% [H,x,xc] = compute_conditional_histogram(M,C, options);
%
%
www.eeworm.com/read/474583/6812975
svn-base compute_gaussian_filter.m.svn-base
function f = compute_gaussian_filter(n,s,N);
% compute_gaussian_filter - compute a 1D or 2D Gaussian filter.
%
% f = compute_gaussian_filter(n,s,N);
%
% 'n' is the size of the filter, odd f
www.eeworm.com/read/474583/6813020
svn-base compute_gaussian_filter.sci.svn-base
function f = compute_gaussian_filter(n,s,N);
// compute_gaussian_filter - compute a 1D or 2D Gaussian filter.
//
// f = compute_gaussian_filter(n,s,N);
//
// 'n' is the size of the filter, odd fo
www.eeworm.com/read/419304/10876177
m invmoments.m
%compute invariant moments of image
function phi =invmoments(F)
if (ndims(F) ~= 2) | issparse(F) | ~isreal(F) | ~(isnumeric(F) | islogical(F));
error(['F must be a 2D,real,nonsparse,numeric or