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此文件用于仿真MIMO-STBC 系统性能程序,包括了发送,mimo quasi-static channel 和接收部分。用的是8psk调制 -this document for the simulation of MIMO - STBC system performance procedures, including sending, mimo quasi--static channel and receive part. The modulation of eight psk
Date : 2008-10-13 Size : 10.91kb User : Fan Suqun

关于OFDM的仿真分析,希望能给大家一些帮助
Date : 2008-10-13 Size : 25.4kb User : renhuijun

对MIMO遍历信道进行容量仿真,对初学MIMO和该方面研究的人员很有帮组
Date : 2012-05-17 Size : 530byte User : lantianyingllc@163.com

此文件用于仿真MIMO-STBC 系统性能程序,包括了发送,mimo quasi-static channel 和接收部分。用的是8psk调制 -this document for the simulation of MIMO- STBC system performance procedures, including sending, mimo quasi--static channel and receive part. The modulation of eight psk
Date : 2025-12-16 Size : 11kb User : Fan Suqun

关于OFDM的仿真分析,希望能给大家一些帮助 -On the OFDM simulation analysis, I hope everyone can give some help
Date : 2025-12-16 Size : 25kb User : renhuijun

最小均方误差(MMSE)的算法用MATLAB的仿真-mmse
Date : 2025-12-16 Size : 2kb User : 白云峰

一个MIMO 2*2系统的误码率仿真,收端采用MMSE-SIC检测方式-computing the BER for BPSK modulation in a Rayleigh fading channel with 2 Tx, 2Rx MIMO channel Minimum Mean Square Error Equalization with Successive Interference Cancellation
Date : 2025-12-16 Size : 2kb User : 张群

完整的在LTE标准下MIMO+OFDM仿真程序 -LTE system simulation about MIMO+OFDM
Date : 2025-12-16 Size : 1.65mb User : sunbaoyu

Euler方法 用C语言实现,并求解常微分方程组-The m framework appropriately generalizes notions such as gain margin, phase margin, disturbance attenuation, tracking, and noise rejection into a common framework suitable for analysis and design, in both single-loop and multiloop feedback systems. Even when working with single-loop feedback systems, some multi-input, multi-output (MIMO) systems arise during the analysis. Hence, a unified framework to deal with MIMO linear systems is important, with full support for both the time and frequency domain. m-Tools provides the capability to build complex interconnections (such as cascade, parallel, and feedback connections), compute properties (such as poles and zeros), calculate time and frequency responses, manipulate these responses (FFT for the time domain signals, Bode analysis for the frequency domain functions), and plot results. m-Tools supports two data types in addition to the standard matrices: SYSTEM matrices for state-space realizations
Date : 2025-12-16 Size : 1kb User : 落思

mimo不同信道估计对比的源代码,希望对大家有帮助-Comparison of different channel estimation mimo the source code, want to help everyone
Date : 2025-12-16 Size : 2kb User : wangli

sar is a Rough Set-based Attribute Reduction (aka Feature Selection) implementation. This is an implementation of ideas described, among other places, in the following paper: Qiang Shen and Alexios Chouchoulas, A Modular Approach to Generating Fuzzy Rules with Reduced Attributes for the Monitoring of Complex Systems. Engineering Applications of Artificial Intelligence, 13(3):263-278, 2000. rsar reads in a MIMO (Multiple Input, Multiple Output) dataset, performs RS-based feature selection on it, and returns the selected feature subset. Four versions of the QuickReduct algorithm are supported, QuickReduct, QuickReduct III, QuickReduct IV and QuickReduct V (progressively faster implementations). QuickReduct II is a backward elimination version of QuickReduct and is not supported yet neither is exhaustive search for reducts. -sar is a Rough Set-based Attribute Reduction (aka Feature Selection) implementation. This is an implementation of ideas described, among other places, in the following paper: Qiang Shen and Alexios Chouchoulas, A Modular Approach to Generating Fuzzy Rules with Reduced Attributes for the Monitoring of Complex Systems. Engineering Applications of Artificial Intelligence, 13(3):263-278, 2000. rsar reads in a MIMO (Multiple Input, Multiple Output) dataset, performs RS-based feature selection on it, and returns the selected feature subset. Four versions of the QuickReduct algorithm are supported, QuickReduct, QuickReduct III, QuickReduct IV and QuickReduct V (progressively faster implementations). QuickReduct II is a backward elimination version of QuickReduct and is not supported yet neither is exhaustive search for reducts.
Date : 2025-12-16 Size : 713kb User : NH

With the rapid development of wireless communication,mobile subscribers have increasing requirements of the system capacity and communication quality.Therewith, the design of the base station antenna,which is a vital component of a wireless system, should take jnto account many factors.In the next generation of wireless communication,the application of MIMO technologies increases the system capacity linearly with the minimum number of transmit and receive antennas.As the M1M0 system implies multiple antennas in both transmit and receive sides,the design of multiple antennas becomes very important in the next generation of wireless communication.
Date : 2025-12-16 Size : 1.86mb User : ningxiaoge

这是MIMO-OFDM系统不同信道估计算法的对比分析-MIMO-OFDM system channel estimation algorithms in different Comparison
Date : 2025-12-16 Size : 7kb User : 余伟

一种基于信息传递的MIMO系统符号检测算法.-Based on information transmission symbol detection algorithms for MIMO systems.
Date : 2025-12-16 Size : 235kb User :

mimo Simulatio with matlab
Date : 2025-12-16 Size : 3kb User : gogo

该资料提出一种新的快速简单的天线选择算法以在获得很高的MIMO系统容量的同时, 大大降低了系统误码率和计算复杂度。-This information presents a new fast and simple antenna selection algorithm for high MIMO system capacity while greatly reducing the system bit error rate and computational complexity.
Date : 2025-12-16 Size : 159kb User : 谢小嘉

MIMO-OFDM系统仿真的matlab程序。可以自行修改数值改变输出-MIMO-OFDM system simulation matlab program. You can modify the output value changes
Date : 2025-12-16 Size : 2kb User : 蔡先生

多入多出技术的信道估计与仿真,及其信道的检测。-MIMO channel estimation technology testing and simulation, and the channel.
Date : 2025-12-16 Size : 59kb User : 段京京

2*2 mimo-ofdm project , Simulation matlab
Date : 2025-12-16 Size : 1.19mb User : phammanh95bk

dct slm fibonacci binary sequences in mimo ofdm
Date : 2025-12-16 Size : 3kb User : Yohanapi
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