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说明：  学习联合检测的圣经啊，经典算法的经典解析(the bible of styding JD, classical introduction of classical alglorithms)

可以清楚的知晓信号随时间轴和频率轴的变化，相当的方便(Can be clearly known with the axis and a frequency axis signal changes, considerable convenience)

解决了非线性函数的逼近问题,实现了BP神经网络在非线性函数逼近中的应用。得出了信号的频率与隐含点之间，隐含点与函数逼近能力之间的关系——隐含层神经元数目越多。(Solved the problem of nonlinear function approximation, and realized the application of the BP neural network in nonlinear function approximation. Between signal frequency and implicit points are drawn, implied the relationship between the point and the function approximation ability, the more number of hidden layer neurons. )

惯性导航系统误差仿真，针对捷联惯导系统的误差方程进行仿真，得到误差曲线(error simulation)

说明：  独到精辟的算法及例子，通过MATLAB语言由浅入深的介绍了控制系统的仿真(Original algorithm and brilliant examples MATLAB language through easy-to-digest introduced control system simulation)

bcjr convolutinal code

drnn网络逼近仿真实例，包括网络训练程序和网络测试程序(drnn)

DD解相关多用户检测器和CD传统多用户检测器的误码率比较（八个用户）( DD decorrelating multiuser detector and a CD of traditional multi-user detector error rate (eight users))

图像噪声消除,采用小波分析的方法，阈值法进行系数矫正(figure noise )

电力系统暂态稳定程序，可以进行暂态稳定计算,外文资料里面的源代码，本科毕设要求参见标准测试模型。( Power System Transient Stability Program, can be transient stability, Foreign materials inside the source code, Undergraduate complete set requirements refer to the standard test models.)