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/266102/11240310
m ex5_3.m
% Example 5-3: Decision algorithm: Which one of two
% non-square input signal matrices (X1 or X2) has been
% transmitted over 2-by-3 MIMO channel?
clear all
K = 4; % Number of time samples (I/O ob
www.eeworm.com/read/265706/11256138
m dsbus_dv.m
function [dSbus_dVm, dSbus_dVa] = dSbus_dV(Ybus, V)
%DSBUS_DV Computes partial derivatives of power injection w.r.t. voltage.
% [dSbus_dVm, dSbus_dVa] = dSbus_dV(Ybus, V) returns two matrices cont
www.eeworm.com/read/148257/12479860
m morph.m
function morph(im1,im2,map,n,j,k)
% The command morph(im1,im2,cmap) will transpose
% (or morph) a source image, im1, into
% a target image, im2, in 100 steps. The two image
% matrices must ha
www.eeworm.com/read/335571/12514340
m dsbus_dv.m
function [dSbus_dVm, dSbus_dVa] = dSbus_dV(Ybus, V)
%DSBUS_DV Computes partial derivatives of power injection w.r.t. voltage.
% [dSbus_dVm, dSbus_dVa] = dSbus_dV(Ybus, V) returns two matrices co
www.eeworm.com/read/335569/12514752
m dsbus_dv.m
function [dSbus_dVm, dSbus_dVa] = dSbus_dV(Ybus, V)
%DSBUS_DV Computes partial derivatives of power injection w.r.t. voltage.
% [dSbus_dVm, dSbus_dVa] = dSbus_dV(Ybus, V) returns two matrices cont
www.eeworm.com/read/334923/12562400
m dsbus_dv.m
function [dSbus_dVm, dSbus_dVa] = dSbus_dV(Ybus, V)
%DSBUS_DV Computes partial derivatives of power injection w.r.t. voltage.
% [dSbus_dVm, dSbus_dVa] = dSbus_dV(Ybus, V) returns two matrices cont
www.eeworm.com/read/132706/14077939
m dsbus_dv.m
function [dSbus_dVm, dSbus_dVa] = dSbus_dV(Ybus, V)
%DSBUS_DV Computes partial derivatives of power injection w.r.t. voltage.
% [dSbus_dVm, dSbus_dVa] = dSbus_dV(Ybus, V) returns two matrices co
www.eeworm.com/read/200886/15420731
m mymat2cell.m
function c = mymat2cell(m,rowSizes,colSizes)
%MYMAT2CELL.M Break matrix up into a cell array of matrices.
%
% Synopsis
%
% mymat2cell.m(M,R,C);
%
% Description
%
% MYMAT2CELL.M(M,R,C) takes three
www.eeworm.com/read/291161/8439231
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/390412/8466433
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