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www.eeworm.com/read/393871/8257522
html transf_mimo.html
Coordinates transformation for MIMO systems
www.eeworm.com/read/393871/8257600
m transf_mimo.m
function [sys,x0,str,ts] = transf_mimo(t,x,u,flag,n,r,Z)
% NelinSys - a program tool for analysis and synthesis of nonlinear control systems
% based on MATLAB/Simulink 5.2
%
% (C) 200
www.eeworm.com/read/393871/8257604
mdl exakt_mimo.mdl
Model {
Name "exakt_mimo"
Version 2.20
SimParamPage Solver
SampleTimeColors off
InvariantConstants off
WideVectorLines off
ShowLineWidths off
StartTime "0.
www.eeworm.com/read/393871/8257612
m stavp_mimo.m
function [sys,x0,str,ts] = stavp_mimo(t,x,u,flag,n,nin,nout,F,G,H,pp)
% NelinSys - a program tool for analysis and synthesis of nonlinear control systems
% based on MATLAB/Simulink 5.2
www.eeworm.com/read/293556/8287106
m mimo_ofdm.m
%------------------------------------------
% EE359 final project, Fall 2002
% Channel estimation for a MIMO-OFDM system
% By Shahriyar Matloub
%----------------------------------------
www.eeworm.com/read/172077/9724672
m mimo_ofdm.m
%------------------------------------------
% EE359 final project, Fall 2002
% Channel estimation for a MIMO-OFDM system
% By Shahriyar Matloub
%----------------------------------------
www.eeworm.com/read/171791/9737357
m zf_mimo.m
% simulate the BER of a QPSK signal using Rayleigh fading channel
% with sigma = fading_sigma
% pxq MIMO
clear;
N_loop = 10^4;
N_sym = 64;
N_bit = 2*N_sym;
noise_sigma = sqrt(0.5);
Eb_dB = 4:
www.eeworm.com/read/171790/9737358
m mmse_mimo.m
% simulate the BER of a QPSK signal using Rayleigh fading channel
% with sigma = fading_sigma
% pxq MIMO
clear;
N_loop = 10^4;
N_sym = 64;
N_bit = 2*N_sym;
noise_sigma = sqrt(0.5);
Eb_dB = 4:
www.eeworm.com/read/415886/11049495
m mimo_zeroforcing.m
function MIMO_zeroforcing
clear all;
close all;
M=2; % modulation constellation points
TX=2; % number of transmit antenna
RX=2; % number of receive antenna
N=5*TX*RX; %data strea