lab5

Parameter+Estimation+and+Inverse+Problems 该书的配套光配内容(Parameter+ Estimation+ and+ Inverse+ Problems with the contents of the book' s supporting light)

用感知器实现或功能的M文件，MATLAB中运行正确，(ANN)

bpsk在高斯白噪声下的simulink仿真(bpsk_awgn)

MIMO与OFDM结合，采用自适应技术，达到完美的BER性能(Combination of MIMO and OFDM, adaptive technology, the BER performance of perfect)

本人编写的QC-LDPC码的完整实现，采用阵列校验矩阵，极其简单，适合入门(A easy-to-learn source code of QC-LDPC encoder)

说明：  在X，y方向分别放水平磁环，在Z轴上放电偶极子，给出信号方位角估计随极化角度和俯仰角的变化的估计性能(In X, y directions are the level of magnetic release, discharge in the Z-axis dipole is given with the polarization angle estimate signal azimuth and elevation changes in the estimation performance)

Its MVDR beamforming technique

计算两个区域的相关系数的平均值 速度比直接用regress函数 快很多很多(calculate the mean correlation coefficient of two areas)

AM调制，simulink仿真，适用于通信系统仿真课程(AM modulation simulink simulation, applicable to the communications system simulation programs)

可以实现多智能体编队，即多个分散智能体聚集到一块且相互之间保持一定的距离向前运动(Can achieve multi-agent formations that gathered more than a dispersion agent, and maintain a certain distance from each other moving forward)