varying-k-16DPSK

matlab 融合源码 跟地图清晰度有关的 直接可以出图(matlab code about map )

说明：  面阵波束形成，由两条垂直线阵组成的面阵波束接收天线(Planar array beam forming, by the vertical line array consisting of two side beam receiving antenna array)

Matlab中的模型预测控制工具箱英文详细介绍。(Model predictive control toolbox of Matlab detailed introduction in English.)

GprMax的理论基础是时域有限差分(FDTD)方法。时域有限差分方法直接将Maxwell方程作差分离散，利用二阶精度的中心差分近似把Maxwell方程中的微分算符直接转换为差分形式，在空间和时间上对电场和磁场交替间隔取样，使计算过程完全模拟电磁波逐步传播以及与目标物体相互作用的过程。(GprMax is based on the theory of the finite difference time domain (FDTD) method. The finite difference time domain method directly will Maxwell equation of discrete difference, using second order precision of the central difference in the equations are Maxwell approximate differential operator directly convert difference forms, in the space and time of electric field and magnetic field on alternate sampling interval, making the calculation process simulation electromagnetic wave propagation and completely step by step and target object interaction process. )

LCMV优化设计阵列处理信号，本科毕设要求参见标准测试模型，在matlab R2009b调试通过，包含特征值与特征向量的提取、训练样本以及最后的识别，BP神经网络用于函数拟合与模式识别。( LCMV optimization design array signal processing, Undergraduate complete set requirements refer to the standard test models, In matlab R2009b debugging through, Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, BP neural network function fitting and pattern recognition.)

说明：  该算法是经典的信噪比估计算法——最大似然估计算法，利用接收信道的先验概率密度函数，ML法能够很好的估计信号的信噪比(The algorithm is a classic signal to noise ratio estimation algorithm- maximum likelihood estimation algorithm, using the a priori receiver channel probability density function, ML method can be a very good signal to noise ratio is estimated)

这是用Matlab编写的贪食蛇游戏，非常好玩，大家可以由此体验Matlab编程的乐趣。(This is prepared in Matlab with snake games, very fun, one can all experience the fun of Matlab programming.)

f-xlms算法程序 非常有用的消噪用的程序(f-xlms algorithm procedure very useful procedure for de-noising with)

otsu methode and adaptation

Frequency Modulation