对HARQ系统的吞吐量分析，模式识别中的bayes判别分析算法，粒子图像分割及匹配均为自行编制的子例程，给出接收信号眼图及系统仿真误码率，BP神经网络用于函数拟合与模式识别，用于信号特征提取、信号消噪，合成孔径雷达（SAR)目标成像仿真，有CDF三角函数曲线/三维曲线图。- HARQ throughput analysis of the system, Pattern Recognition bayes discriminant analysis algorithm, Particle image segmentation and matching subroutines themselves are prepared, The received signal is given eye and BER simulation systems, BP neural network function fitting and pattern recognition, For feature extraction, signal de-noising, Synthetic Aperture Radar (SAR) imaging simulation target, There CDF trigonometric curve/3D graphs.