代码搜索：Matrices

找到约 3,616 项符合「Matrices」的源代码

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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
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www.eeworm.com/read/266820/11211882

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
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www.eeworm.com/read/147862/12513705

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
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www.eeworm.com/read/248862/12537292

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
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www.eeworm.com/read/204090/15344735

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
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www.eeworm.com/read/102840/15756485

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
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www.eeworm.com/read/389692/8507779

m fstrvcat.m

function a=fstrvcat(a1,a2,a3,a4,a5,a6,a7,a8,a9,a10,a11) %FSTRVCAT Form matrix from individual vectors and matrices. % AOUT = FSTRVCAT(A1,A2,A3,..) forms the matrix AOUT containing the % vectors
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www.eeworm.com/read/163924/10139763

m vgg_p_from_f.m

%P = vgg_P_from_F(F) Compute cameras from fundamental matrix. % F has size (3,3), P has size (3,4). % % If x2'*F*x1 = 0 for any pair of image points x1 and x2, % then the camera matrices of
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www.eeworm.com/read/163924/10139832

m vgg_px_from_6pts_3img.m

%vgg_PX_from_6pts_3img Computes camera matrices and world points from 6 points across 3 images. % % [P,X] = vgg_PX_from_6pts_3img(x), where % x ... double(3,6,3) or cell{3} of double(3,6),
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www.eeworm.com/read/163745/10147526

m conv2fft.m

function [out] = conv2fft(z1,z2,shape,shape2) %CONV2FFT FFT-based two dimensional convolution. % C = CONV2FFT(A, B) performs the 2-D convolution of matrices % A and B. If [ma,na] = size(A)
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