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0下载：
This file contains codes for simulating BPSK modulation with Monte Carlo methos. it is so useful for calculating BER in communication systems.
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本源码包参考英国Southampton大学Robert G. Maunder教授2008年的EXIT charts开源demo，给出了通用(分量码多项式可自定义)并行级联Turbo码的EXIT charts的作图源码。同时可完成迭代轨线、BER等值线的绘制等工作。
由于对于码块长较大的情形仿真需要较长时间，源码包也给出了部分分量码多项式的仿真结果，可直接用于绘图。
源码包还给出了最经典的S.Ten Brink介绍EXIT charts基本原理的参考文献，以及本人对通信系统中迭代译码过程分
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完成M=4的正交信号的数字通信系统的蒙特卡罗仿真。分析其在加性高斯白噪声下误码率与信噪比之间的关系，绘出误码率-信噪比曲线图，并和物理曲线进行比较。-The completion of M = 4 orthogonal signals in Monte Carlo simulation of digital communication systems. Analysis of the additive white Gaussian noise bit error rate and signal
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完成双正交信号的数字通信系统的蒙特卡罗仿真。分析其在加性高斯白噪声下误码率与信噪比之间的关系，绘出误码率-信噪比曲线图，并和理论曲线进行比较。-Complete pairs of orthogonal signals in Monte Carlo simulation of digital communication systems. Analysis of the additive white Gaussian noise bit error rate and signal to noise
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很好用的基带仿真通信系统。对每个给定信噪比的通信系统，计算BER的估计值-Well with the simulation of the baseband communications systems. A given signal to noise ratio for each communication system, computing the estimated value of BER
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A multiple-input multiple-output (MIMO) communication system combined with the orthogonal frequency division multiplexing (OFDM) modulation technique can achieve reliable
high data rate transmission over broadband wireless channels. Channel state i
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Research towards meeting the higher demands for
higher data rates was the main reason for the birth of an
evolution technology towards the 4th generation mobile
communication systems. This evolution to the current 3rd
generation UMTS systems
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This document is about 16 QAM demapping of received data. But its a soft demapping method based Log likelihood ratio(llr). So results can be used as inputs for viterbi decoder or turbo decoder. It is very usefull to decrease BER for communication sys
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通信系统与仿真作业：
1）设计π/4-DPSK或16-QAM调制器仿真程序， 画出时域波形、 正交分量、同相分量波形，眼图，散点图等。
2）利用MATLAB进行DPSK在高斯信道下的BER性能仿真，并将结果与PSK性能进行比较。
3）已知 OFDM的数据传输速率为19.2Kbps， OFDM 符号长度为320，保护间隔为32点，子载波数为128，IFFT/FFT点数为256，载波频率320KHz，调制方案采用QPSK，仿真其在高斯信道下的BER性能。
-Communication
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This the code for MIMO based Maximum Liklihood detector to analyse the performance of BER calculation. Multiple-Input-Multiple-Output (MIMO) systems, which use multiple antennas at the transmitter and receiver ends of a wireless communication system.
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上数字通信课程时编写的大作业，主要设计一个基带通讯系统，采用QAM调制并且计算比特差错概率。-use MATLAB programming to implement some digital baseband communication systems, and plot the BER (bit error probability) versus Eb/N0 (from-5dB to 20dB) curves for 4QAM, 16QAM
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给出接收信号眼图及系统仿真误码率，包含优化类的几个简单示例程序，有较好的参考价值，使用混沌与分形分析的例程，用于图像处理的独立分量分析，匹配追踪和正交匹配追踪，利用自然梯度算法，保证准确无误，是学习通信的好帮手。- The received signal is given eye and BER simulation systems, Optimization class contains several simple sample programs, There are good refere
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