contemporary-communication-system-

MATLAB仿真实现16QAM系统，并画出图形(MATLAB Simulation of 16QAM system, and draw graphics)

桥式结构DCAC整流器仿真，仅适合教学了解用。(The bridge structure DCAC rectifier Simulation understanding with only suitable for teaching.)

实现Pisarenko谐波分解法、MUSIC、基本ESPRIT、LS-ESPRIT、TLS-ESPRIT五种频率估计算法，并运用之对一个正弦波叠加噪声的信号源进行频率估计。(Use methods of Pisarenko, MUSIC, ESPRIT, LS-ESPRIT and TLS-ESPRIT to do frequency uation of one signal, which is composed of 3 sine waves and 1 white noise.)

五位巴克码相位编码信号仿真以及时域、频率特性研究(Simulation of Five Barker Code Phase Coded Signals and Study of Time Domain and Frequency Characteristics)

matlab的基本实现函数有图 例如求代数方程3x5+4x4+7x3+2x2+9x+12=0的所有根。（利用roots函数）(The basic realization of matlab function has a plan such as the algebraic equation 3x5+4 x4+7 x3+2 x2+9 x+12 = 0 for all roots. (Using the roots function))

海洋环境噪声和鱼类叫声的频域波形（fft）(The marine environment and fish noise sounds waveform in frequency domain (fft))

matlab 英文书籍,影印版，非常使用的教你一步一步的学习如何用matlab编程的，适用于双语教学(matlab programming for engineers,useful,powerful and easy)

常用的上下行信道模型，写的很清晰，适合入门的人看。(Commonly used up and down the channel model, written in a very clear, people will look for entry.)

用蒙特卡洛法模拟编写的计算粒子的多次散射和单次散射的比较(Comparison of multiple scattering method using Monte Carlo simulation calculations prepared particles and single-scattering)

通过设计一个二阶加权系数自适应横向FIR滤波器，对一个加随机噪声的正弦信号实现滤波。 具体设计方案为： 1，生成标准正弦信号S 2，生成等长的随机信号N 3，生成加随机噪声的正弦信号X 4，X通过参数可调数字滤波器，输出Y 5，Y与参考信号作差得到误差E 6，E通过自适应算法调整权值W 7，用LMS算法处理噪声干扰的信号，最终实现滤波器功能(A two order weighted coefficient adaptive transverse FIR filter is designed to filter a sinusoidal signal with random noise. The specific design scheme is as follows: 1, generating a standard sinusoidal signal S 2, generating an equal length random signal N 3, generating a sinusoidal signal X with random noise 4, X can adjust the digital filter by parameter and output Y 5, the difference between the Y and the reference signal is E 6, E adjusts the weight W through the adaptive algorithm 7, the LMS algorithm is used to deal with the noise interference signal, and the filter function is finally realized.)