代码搜索:Compute

找到约 10,000 项符合「Compute」的源代码

代码结果 10,000
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m compute_impulse_noise.m

function M = compute_impulse_noise(M,p,sigma,mu) % compute_impulse_noise - add impulse noise to an image % % M = compute_impulse_noise(M,p,sigma,mu); % % p is the probability that one pixel is corrup
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m compute_posterior_dbn.m

function post = compute_posterior_dbn(bnet, state, i, n, strides, families, ... CPT) % COMPUTE_POSTERIOR % % post = compute_posterior(bnet, state, i, n, strides, families, % cpts) % % Com
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m compute_families_dbn.m

function families = compute_families_dbn(bnet) % COMPUTE_FAMILIES % precomputes the families of nodes in a dbn % % The return value is a cell array for now ss = size(bnet.intra, 1); families
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m compute_interface_nodes.m

function [int, persist, transient] = compute_interface_nodes(intra, inter) % COMPUTE_INTERFACE_NODES Find the nodes in a DBN that represent a sufficient statistic % [int, persist, transient] = compu
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m compute_quadrant_selection.m

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_
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sci compute_gaussian_filter.sci

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
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m compute_conditional_histogram.m

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); % %
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m compute_total_variation.m

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
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m compute_gaussian_filter.m

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
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m sde_compute_hessian.m

function hessian = SDE_compute_hessian(lossfunction,theta,OWNTIME,TIME,VRBL,XOBS,PROBLEM,NUMSIM,SDETYPE,PARBASE,PARMIN,PARMAX,PARMASK,INTEGRATOR,NUMDEPVARS,SEED) % Computes central approximation o