代码搜索：Matrices
找到约 3,616 项符合「Matrices」的源代码
代码结果 3,616
www.eeworm.com/read/138860/13207230
m pdown.m
function y = pdown(x, type, phase)
% PDOWN Parallelogram Downsampling
%
% y = pdown(x, type, [phase])
%
% Input:
% x: input image
% type: one of {1, 2, 3, 4} for selecting sampling matrices:
www.eeworm.com/read/138860/13207245
m qupz.m
function y = qupz(x, type)
% QUPZ Quincunx Upsampling (with zero-pad and matrix extending)
%
% y = qup(x, [type])
%
% Input:
% x: input image
% type: [optional] 1 or 2 for selecting the quin
www.eeworm.com/read/138860/13207273
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/138105/13260038
3 patch.3
*** zmatrix.h Tue Mar 8 15:50:26 1994
--- zmatrix.h.orig Fri Oct 28 01:52:48 1994
***************
*** 34,39 ****
--- 34,41 ----
/* Type definitions for complex vectors and matri
www.eeworm.com/read/323180/13347970
c confmat.c
/*************************************************************************/
/* */
/* Routine for printing confusion matrices */
/* --------------------------------------- */
/*
www.eeworm.com/read/321469/13404254
m disteu.m
function d = disteu(x, y)
% DISTEU Pairwise Euclidean distances between columns of two matrices
%
% Input:
% x, y: Two matrices whose each column is an a vector data.
%
% Output:
% d:
www.eeworm.com/read/316412/13523356
m golub.m
function A = golub(n)
%GOLUB Badly conditioned integer test matrices.
% GOLUB(n) is the product of two random integer n-by-n matrices,
% one of them unit lower triangular and one unit upper trian
www.eeworm.com/read/316047/13531175
m mknyq.m
function mknyq(r,im,w,plt)
%MKNYQ Mark points along a Nyquist plot.
% MKNYQ(R,IM,W,plt) marks the points R,IM
% with the numbers in the vector W.
% R and IM can be vectors or ma
www.eeworm.com/read/311447/13630887
m qupz.m
function y = qupz(x, type)
% QUPZ Quincunx Upsampling (with zero-pad and matrix extending)五株上采样
%
% y = qup(x, [type])
%
% Input:
% x: input image
% type: [optional] 1 or 2 for selecting the quincu