The following Matlab project contains the source code and Matlab examples used for spatial channel model for mimo simulations. a ray based simulator based on 3gpp tr 25.996 v.6.1.0. The MIMO spatial channel model simulates a wireless propagation channel in various cases and applies the concept of diversity (spatial and polarization) assuming multiple antennas at both the transmitter and receiver, thus forming a Multiple Input Multiple Output antenna system.

The following Matlab project contains the source code and Matlab examples used for automatically connects miso, mimo, and sink blocks when block is dropped over a line in simulink. . Unlike SISO block in Simulink, blocks that have multiple inports and/or outports, or no outport, do not autoconnect if dragged over a signal line in a model.

The following Matlab project contains the source code and Matlab examples used for lte downlink physical channel processing. Models the downlink physical channel processing in the FDD mode for a multi-antenna system configuration based on the 3GPP TS 36.

The following Matlab project contains the source code and Matlab examples used for clll lattice reduction algorithm. This is the MATLAB code for the complex LLL (CLLL) algorithm: Ying Hung Gan, Cong Ling, and Wai Ho Mow, “Complex lattice reduction algorithm for low-complexity full-diversity MIMO detection,” IEEE Trans.

The following Matlab project contains the source code and Matlab examples used for priority first spherical lattice space time decoder with boundary control. A stack-based sequential priority first decoder that returns Maximum-Likelihood solutions to spherical LAST coded MIMO system-type problems, i.

The following Matlab project contains the source code and Matlab examples used for depth first spherical lattice space time decoder with boundary control. A stack-based sequential depth-first decoder that returns Maximum-Likelihood solutions to spherical LAST coded MIMO system-type problems, i.

The following Matlab project contains the source code and Matlab examples used for structured mimo h infinity design for a dual stage platform using hifoo and hinfstruct. This m-file first creates a linear state-space model of a real experimental motion control platform where two electrical motors are used to rotate a payload around a single (vertical) axis.

The following Matlab project contains the source code and Matlab examples used for sm modelbasedv2 order3 channelestimation 3bits. using Model Based channel estimation in MIMO

The following Matlab project contains the source code and Matlab examples used for automatically resize mimo blocks upon connection. . In Simulink, it is often the case where a user wants to connect multiple blocks to another block, particularly in case of mux, demux, and bus creator blocks.

The following Matlab project contains the source code and Matlab examples used for mu-tools based multivariable system identification . Mu-Tools based Multivariable System Identification The Musysid folder contains some useful tools for : - black box MIMO system identification - state space system fitting from a given frequency response - converting frequency response data between the MU-TOOLS Toolbox and the SYSTEM IDENTIFICATION Toolbox formats.

The following Matlab project contains the source code and Matlab examples used for blind channel estimation for mimo systems using linear space time codes. The channel estimation algorithm is based on a subspace approach.

The following Matlab project contains the source code and Matlab examples used for blind channel estimation for mimo systems using orthogonal space time codes. The channel estimation algorithm is based on Second Order Statistics.

The following Matlab project contains the source code and Matlab examples used for free space white led communication siso and mimo channel modeling. Execute 'optical_wireless.m' to start. N.B. The programs were done in a hurry and may not be correct. Please check through the maths.

The following Matlab project contains the source code and Matlab examples used for model predictive control of multi input, multi output (mimo) systems . These scripts set up and simulate Model Predictive Control of a general Multi-Input, Multi-Output (MIMO) Control system, when the linearized state-space model (or transfer function) is given as input to the functions.

The following Matlab project contains the source code and Matlab examples used for pdf defined over mimo channels . pdf defined over mimo channels

The following Matlab project contains the source code and Matlab examples used for blind detection of the number of sources with gerschgorin radii. Let us assume the following MIMO model: Y(k)=HX(k)+Y(k) This file can detect the number of sources, i.

The following Matlab project contains the source code and Matlab examples used for blind detection of the number of sources with hypothesis tests.. Let us assume the following MIMO model: Y(k)=HX(k)+Y(k) This file can detect the number of sources, i.

The following Matlab project contains the source code and Matlab examples used for simulating 2*2 mimo ldpc base band systems. Simulating 2*2 MIMO-LDPC Base-Band Systems Copyright (C2010-2015) Yang XIAO, Beijing Jiaotong University, Aug.

The following Matlab project contains the source code and Matlab examples used for space time block codes for miso mimo systems. Space time coding takes profit of the channel diversity to improve the reliability of a communication system.

The following Matlab project contains the source code and Matlab examples used for maximum likelihood equalization for stbc mimo systems. Maximum Likelihood equalization is the optimal method to estimate the transmitted symbols in a MIMO system using linear space time coding (See reference [1] for the theoretical background).

The following Matlab project contains the source code and Matlab examples used for zero forcing equalization for stbc mimo systems. Zero Forcing equalization is the simplest method to estimate the transmitted symbols in a MIMO system using linear space time coding (See reference [1] for the theoretical background).

The following Matlab project contains the source code and Matlab examples used for water filling algorithm on mimo system. In MIMO system, it is difficult to allocate power in channel if channels have certain amount of noise, then it should be realize the amount of noises.

The following Matlab project contains the source code and Matlab examples used for mimo diophantine solver. This function solve MIMO-Diophantine equation.

The following Matlab project contains the source code and Matlab examples used for mimo channel capacity. In this programe a highly scattered enviroment is considered.

The following Matlab project contains the source code and Matlab examples used for the comparison in capacity between siso and mimo. The Comparison in capacity between SISO and MIMO

The following Matlab project contains the source code and Matlab examples used for mimo mri. Model Predictive Control based on linear models is widely used in the process Industry.

The following Matlab project contains the source code and Matlab examples used for mimo toolbox. The MIMO Toolbox is a collection of Matlab functions and a GUI.

The following Matlab project contains the source code and Matlab examples used for mimo alamouti. simulation of BER of a MIMO system using STBC

The following matlab project contains the source code and matlab examples used for mimo ofdm.

The following Matlab project contains the source code and Matlab examples used for mimo rayleigh fading channel capacity. in this program a highly scattered environment is considered.