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说明：  matlab求解kepler参数数学模型建立→MATLAB数值分析方法求解的(use matlab kepler)

利用Matlab函数或者模块产生随机数据，经过16QAM数字调制，送入高斯白噪声信道；在接收端使用16QAM解调数据后，与信源数据进行误码率统计；分析误码率与信噪比的关系。(Have the random data using the Matlab function or the module, undergoes the 16QAM digital modulation, sends in the white gaussian noise channel After the receiving end uses the 16QAM demodulation data, carries on the error rate statistics with the source data Analysis error rate and signal-to-noise ratio relations. )

matlab s easy lessons

与simulink联合仿真 用pso算法进行参数优化(Combined with Simulink simulation, PSO algorithm is used to optimize parameters)

一维EM算法MATLAB实现，两分支高斯混合模型，均值和方差都不相同。(one dimensino EM algorithm implemented by MATLAB. Estimate the mean and variance of Gaussian Mixture Model with two branches.)

用七元线形天线阵（ULA） 已知：信号中心波长为2,天线阵元的间距为1米,快拍数为2000，空中有四个 源信号,假设它们的频率：0.015, 0.05, 0.02, 0.035 四个源信号的方向分别为：pi/4 pi/3 pi/6 3pi/4 求： 1）在不加入噪声的情况下,画出传统波束形成法、Bartlett波束 形成法、Capon波束形成法的空间谱图； 2）在加入高斯白噪声的情况下,假设信噪比为10dB，画出传统波束 形成法、Bartlett波束形成法、Capon波束形成法的空间谱图。(7-element linear antenna array (ULA) Known: the signal center wavelength is 2, the antenna element spacing of 1 m, the number of snapshots for 2000, the air there are four Source signal, assuming that their frequency: 0.015, 0.05, 0.02, 0.035 The direction of the four source signals: pi/4 pi/3 pi/6 3pi/4 Requirements: 1) not to join the noise, to draw the traditional beam-forming method, Bartlett, beam Formation method, Capon beamforming method of the space spectrum 2) by adding Gaussian white noise, assuming that the SNR is 10dB, to draw the traditional beam Formation method, Bartlett, beamforming, Capon beamforming method of the space spectrum.)

CALCULATING CHANNEL CAPACITY FOR MIMO CHANNEL IN DIFFERENT FORM.HERE WE CONSIDERED TWO,THREE AND FOUR INPUT AND OUTPUTS.

generalized hypergeometric functions for matlab (generalized hypergeometric functions for matlab)

采用GARDNER算法的定时模块的仿真，输入每个符号4个采样点，通过内插，输出一个样本值(GARDNER algorithm used the timing of the simulation module, enter each symbol four sampling points, by interpolation, the output value of one sample)

Books for Matlab learning