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/168860/9891343
m cum2x.m
function y_cum = cum2x (x,y, maxlag, nsamp, overlap, flag)
%CUM2X Cross-covariance
% y_cum = cum2x (x,y,maxlag, samp_seg, overlap, flag)
% x,y - data vectors/matrices with identical dimensi
www.eeworm.com/read/362596/9989406
m mean.m
function y = mean(x,dim) %函数定义行，注意函数名称必须与文件名称相同
%MEAN Average or mean value.——H1帮助行
% For vectors, MEAN(X) is the mean value of the elements in X. For
% matrices, MEAN(X) is a row vector con
www.eeworm.com/read/163929/10139548
m cum2x.m
function y_cum = cum2x (x,y, maxlag, nsamp, overlap, flag)
%CUM2X Cross-covariance
% y_cum = cum2x (x,y,maxlag, samp_seg, overlap, flag)
% x,y - data vectors/matrices with identical dimensi
www.eeworm.com/read/163924/10139753
m vgg_f_from_p.m
%F = vgg_F_from_P(P) Compute fundamental matrix from two camera matrices.
% P is cell (2), P = {P1 P2}. F has size (3,3). It is x2'*F*x1 = 0
%
% Overall scale of F is unique and such that, for
www.eeworm.com/read/163801/10144866
m cum2x.m
function y_cum = cum2x (x,y, maxlag, nsamp, overlap, flag)
%CUM2X Cross-covariance
% y_cum = cum2x (x,y,maxlag, samp_seg, overlap, flag)
% x,y - data vectors/matrices with identical dimensi
www.eeworm.com/read/356808/10221188
m cum2x.m
function y_cum = cum2x (x,y, maxlag, nsamp, overlap, flag)
%CUM2X Cross-covariance
% y_cum = cum2x (x,y,maxlag, samp_seg, overlap, flag)
% x,y - data vectors/matrices with identical dimensi
www.eeworm.com/read/356808/10221202
m cum2x.m
function y_cum = cum2x (x,y, maxlag, nsamp, overlap, flag)
%CUM2X Cross-covariance
% y_cum = cum2x (x,y,maxlag, samp_seg, overlap, flag)
% x,y - data vectors/matrices with identical dimensi
www.eeworm.com/read/355530/10259072
m mean.m
function y = mean(x,dim) %函数定义行，注意函数名称必须与文件名称相同
%MEAN Average or mean value.——H1帮助行
% For vectors, MEAN(X) is the mean value of the elements in X. For
% matrices, MEAN(X) is a row vector con
www.eeworm.com/read/162323/10314320
m mean.m
function y = mean(x,dim) %函数定义行，注意函数名称必须与文件名称相同
%MEAN Average or mean value.——H1帮助行
% For vectors, MEAN(X) is the mean value of the elements in X. For
% matrices, MEAN(X) is a row vector con
www.eeworm.com/read/352442/10552445
m cum2x.m
function y_cum = cum2x (x,y, maxlag, nsamp, overlap, flag)
%CUM2X Cross-covariance
% y_cum = cum2x (x,y,maxlag, samp_seg, overlap, flag)
% x,y - data vectors/matrices with identical dimensi