hw1

用MATLAB语言描述的关于QPSK的无线通信系统仿真应用，如何产生QPSK信号(MATLAB language to describe the use of QPSK wireless communication system simulation applications, how to generate QPSK signal)

guassian mixture back ground moble matlab code

该模型实现了一个通用的OFDM TX和RX，这是不依赖于任何特定的行业标准。该模型的目标是开发和研究不断（不是“突发”）载波同步和定时跟踪方案。该技术纳入然后可以扩展和修改，以标准的具体通讯套件。该模型采用了“收购”技术，它利用了循环前缀相关属性，以赶在试图完成罚款跟踪算法一帧的边界粗略的估计。该模型实现了一个16点64循环前缀的OFDM载波波形。在OFDM符号有16个飞行员，3后卫音（0，带边幅），并使用45 QAM的剩余数据流4。 这包括最新型的衰落信道，误码率计算，并改善控制回路动态。(This model implements a generic OFDM TX and RX, which is not tied to any particular industry standard. The objective of this model is to develop and explore a continuous (not “bursty”) carrier and timing tracking synchronization scheme. The techniques incorporated can then be extended and modified to suite specific communications standards. The model uses an “acquisition” technique that exploits the correlation properties of the cyclic prefix to get a rough estimate of the frame boundary before attempting to accomplish the fine tracking algorithms. The model implements a 64 carrier OFDM waveform with a 16 point cyclic prefix. The OFDM symbol has 16 pilots, 3 guard tones (0 amplitude at band edge) and uses 4 QAM for the 45 remaining data streams. This latest model includes a fading channel, BER computation, and improved control loop dynamics. )

基于MATLAB的MC-CDMA仿真，其中最后两行是音乐代码，删除无影响仿真。(MC-CDMA simulation based on MATLAB)

c编程实现删除IE历史记录代码c programming code to delete IE history(c programming code to delete IE history)

The Linear Time/Frequency Toolbox (LTFAT) is a Matlab/Octave toolbox

通信天线建模与MATLAB仿真分析配套matlab源程序代码(Communication Antenna Modeling and Simulation of complete MATLAB source code matlab)

creat text file in matlab for example you can export your result in txt format

说明：  一个有关GMSK基带调制和实现的MATLAB程序，自己编写的，请高手指教！(a GMSK baseband modulation and realized MATLAB procedures, the preparation of their own, experts advise!)

熟悉非高斯色噪声的产生过程，并对其进行参数估计。 产生一高斯噪声，让其通过一线性系统，再得到符合需要的对数正态分布。 (Familiar with the process of non-Gaussian colored noise generated, and estimated its parameters. Generate a Gaussian noise, so that the linear system to meet the needs of the lognormal distribution.)