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支持向量机和BP神经网络虽然都可以用来做非线性回归，但它们所基于的理论基础不同，回归的机理也不相同。支持向量机基于结构风险最小化理论，普遍认为其泛化能力要比神经网络的强。为了验证这种观点，本文编写了支持向量机非线性回归的通用Matlab程序和基于神经网络工具箱的BP神经网络仿真模块，仿真结果证实，支持向量机做非线性回归不仅泛化能力强于BP网络，而且能避免神经网络的固有缺陷——训练结果不稳定。 (Support Vector Machine and BP neural network, even though there can be used to make non-linear regression, but they are based on the theoretical basis for the different, the mechanism of regression is not the same. Support vector machine based on structural risk minimization theory, generally considered the generalization ability of neural networks than the strong. To test this view, the paper prepared by non-linear regression support vector machine procedures and based on a common Matlab neural network toolbox of BP neural network )

MATLAB仿真，二进制调制信号（ASK,FSK,PSK）(MATLAB simulation , the binary modulation signal)

波束形成的能量分配算法，与中继选择方案及Larsson方案做对比( U6CE2 u675F u5F62 u6210 u7684 u808F u0206 u9141 u9121 u6CD5 uFF0C u4E0E u4E2D u7E7 u9009 u62E9 u65B9 u6848 u53CALarsson u65B9 u6848 u505A u5BF9 u6BD4)

impulse propagation through a panel

雷达经典的书，基础知识讲的很清楚，当时上课的时候用的书(Radar classic book, the basics of speaking very clearly, the class was a book )

BP网络模式识别程序 包括网络训练程序和网络测试程序(BP network pattern recognition procedures, including network training procedures and network test program)

基于OFDM系统的卷积码的误码性能分析，BPSK调制，加循环前缀，导频，进行了信道估计。(OFDM system；convolutional code BPSK modulation pilot Channel Estimation )

模糊 C-平均(FCM)算法 验证过，可以运行。(Fuzzy C-mean (FCM) algorithm)

含有QPSK调制的matlab卷积编码、维特比译码程序(source for convolutional encoding and viterbi decoding which contained QPSK )

kalman滤波和LMS滤波MATLAB仿真和预测结果分析(kalman filter and the LMS filter MATLAB simulation and prediction results)