说明：完整的图像处理课设，包含所有源代码，汽车图像，MIMO OFDM matlab仿真,Gabor小波变换与PCA的人脸识别代码。

说明：multi-user mimo,对于学习mimo技术很有帮助

说明：计算关联成像 或者说鬼成像的图像求解算法，用来计算得出bmp图像

说明：最小均方误差检测，运用在MIMO中，很好的检测算法

说明：验证可用，计算互信息非常有用的一组程序,MIMO OFDM matlab仿真。

说明：出自mimo-ofdm wireless communications with MATLAB 这本mimo ofdm的金典教材，里面包括信道建模，编码，等有详细的介绍

说明：The package contains a simulation environment, based on Matlab, that reproduces all the numerical results and figures in the paper.

说明：“Analisa Teknik Reduksi Peak To Average Power Ratio Pada Sistem MIMO-OFDM Menggunakan Metode Hybrid Enhanced Iterative Flipping Partial Transmit Sequence Dan Tone Reservation Berbasis Perangkat Lunak”.

说明：匹配追踪和正交匹配追踪，利用贝叶斯原理估计混合logit模型的参数，用于信号特征提取、信号消噪，是信号处理的基础，MIMO OFDM matlab仿真,已调制信号计算其普相关密度，应用小区域方差对比，程序简单。

说明：该函数用来计算任意函数的一阶偏导数(数值方法),MIMO OFDM matlab仿真,对于初学者具有参考意义。

说明：Function for ZF Precoding of MIMO Communication System Simulation with ZF and MMSE Detection and Precoding.

说明：Function for MMMSE Detection MIMO Communication System Simulation with ZF and MMSE Detection and Precoding.

说明：The MATLAB Scripts (m-files) Simulate MIMO Communication System with Zero Forcing (ZF) Detection, Minimum Mean Square Error (MMSE) Precoding and Detection. It of course goes with the MAIN Programs which calls the functions.

说明：This work considers source localization and parameters estimation problem using bistatic MIMO radar. A new method for joint DOD-DOA estimation in multi-target situation with automatic pairing is proposed. We have exploited both recursive update for joint diagonalization and shift invariance algebraic structure techniques to improve the MIMO performance.

说明：This work considers source localization and parameters estimation problem using bistatic MIMO radar. A new method for joint DOD-DOA estimation in multi-target situation with automatic pairing is proposed. We have exploited both recursive update for joint diagonalization and shift invariance algebraic structure techniques to improve the MIMO performance.

说明：This work considers source localization and parameters estimation problem using bistatic MIMO radar. A new method for joint DOD-DOA estimation in multi-target situation with automatic pairing is proposed. We have exploited both recursive update for joint diagonalization and shift invariance algebraic structure techniques to improve the MIMO performance.

说明：MIMO-OFDM wireless communication

说明：非归零型差分相位调制信号建模与仿真分析 ，合成孔径雷达（SAR)目标成像仿真，MIMO OFDM matlab仿真。

说明：最新大规模天线阵列信道建模论文集，对研究大规模天线信道容量颇有帮助.

说明：The writing of this book was prompted by two main developments in wireless communication in the past decade. First is the huge surge of research activities in physical-layer wireless communication theory. While this has been a subject of study since the sixties, recent developments such as opportunistic and multiple input multiple output (MIMO) communication techniques have brought completely new perspectives on how to communicate over wireless channels. Second is the rapid evolution of wireless systems, particularly cellular net

说明：仿真2*2MIMO通信系统ML、ZF、MMSE检测算法性能，给出三种检测算法的误比特率。

说明：This sample show the simple Inverted Pendulum control with lqr simmechanics simulink mimo pid lqr solidworks how to write a matlab program for two inputs ofdm class.

说明：sim mobile communication 4G using ofdm & mimo technology 2*2 and modulation 16-QAM simulink matlab

说明：翻译版的《MIMO无线网络手册》（第二版），15年11月才出的，费了很大功夫做了电子版，这里只有前四章，针对的是信道部分，讲的很全面细致，对研究这部分的人有很大帮助

说明：MIMO CHANNEL CAPACITY WITH FADING CHANNELS (RAYLEIGH AND RICIAN FADING)

说明：Matlab code for the least square error channel estimation and Minimum Mean Square channele estimation for a MIMO OFDM system. simulation result is compared with theory.

说明：Matlab code for Massive mimo simulation with MMSE channele estimation and Approximate message passing: a comparison

说明：仿真实现了MIMO雷达空间谱估计，应用了Capon算法和MUSIC算法，并对两种算法下的角度估计性能进行了对比仿真

说明：This function calculates the ergodic and outage capacity of a MIMO Rayleigh channel considering no CSIT (equal power allocation) and perfect CSIT (waterfilling power allocation). In both cases perfect CSIR is assumed. The channel is assumed to be spatially correlated according to a Kronecker model but temporally uncorrelated.

说明：Much of the initial excitement about MIMO systems was due to pioneering work by Winters [132], Foschini [29], and Telatar [113] predicting remarkable capacity growth for wireless systems with multiple antennas when the channel exhibits rich scattering and its variations can be accurately tracked. This initial promise of exceptional spectral efficiency almost “for free” resulted in an explosion of research and commercial activity to characterize the theoretical and practical issues associated with MIMO systems.