代码搜索:irregular
找到约 82 项符合「irregular」的源代码
代码结果 82
www.eeworm.com/read/284314/8945022
m lena_irregular.m
www.eeworm.com/read/422634/10624061
m lena_irregular.m
www.eeworm.com/read/284314/8944980
m ckr2_irregular.m
function [z, zx1, zx2] = ckr2_irregular(y, I, h, ksize)
% [CKR2_IRREGULAR]
% The second order classic kernel regression function for irregularly
% sampled data.
%
% [USAGE]
% [z, zx1, zx2] = ckr
www.eeworm.com/read/284314/8944996
m skr2_irregular.m
function [z, zx1, zx2] = skr2_irregular(y, I, h, C, ksize)
% [CKR2_IRREGULAR]
% The second order steering kernel regression function for irregularly
% sampled data.
%
% [USAGE]
% [z, zx1, zx2] =
www.eeworm.com/read/284314/8945006
m skr0_irregular.m
function [z, zx1, zx2] = skr0_irregular(y, I, h, C, ksize)
% [SKR0_IRREGULAR]
% The zeroth order steering kernel regression function for irregularly
% sampled data.
%
% [USAGE]
% z = skr0_irregu
www.eeworm.com/read/382633/9014763
m problem_bc_irregular.m
% *************************************************************************
% TWO DIMENSIONAL ELEMENT FREE GALERKIN CODE
% Nguyen Vinh Phu
%
www.eeworm.com/read/422634/10623986
m ckr2_irregular.m
function [z, zx1, zx2] = ckr2_irregular(y, I, h, ksize)
% [CKR2_IRREGULAR]
% The second order classic kernel regression function for irregularly
% sampled data.
%
% [USAGE]
% [z, zx1, zx2] = ckr
www.eeworm.com/read/422634/10624013
m skr2_irregular.m
function [z, zx1, zx2] = skr2_irregular(y, I, h, C, ksize)
% [CKR2_IRREGULAR]
% The second order steering kernel regression function for irregularly
% sampled data.
%
% [USAGE]
% [z, zx1, zx2] =
www.eeworm.com/read/422634/10624033
m skr0_irregular.m
function [z, zx1, zx2] = skr0_irregular(y, I, h, C, ksize)
% [SKR0_IRREGULAR]
% The zeroth order steering kernel regression function for irregularly
% sampled data.
%
% [USAGE]
% z = skr0_irregu
www.eeworm.com/read/304962/3781863
cin irregular_data.tri.cin
1616 30.735 130.993 0 0 45.5183 141.94 -0.94 0.383 45.4133 141.683 -0.94 0.383 45.305 141.045 -0.707107 0.707107 45.3333 142.175 -0.94 0.383 45.2483 141.862 -0.94 0.383 45.175 141.138 -0.707107 0.7071