BPSK

说明：  关于用MATLAB设计对信号进行频谱分析和滤波处理的程序。(With regard to design using MATLAB signal processing spectral analysis and filtering procedures.)

常用二极管的七种用法，里面有详细的介绍和分析。(Seven kinds of usage about diode，there is a detailed introduction and analysis.)

This is a bandsolver source code programmed with Matlab. Bandsolver is one of the most usefuel solving method in FEM analysis.

1.CAmodelfusion.m 主要功能： （1）完成两个传感器各自对基于CA模型的目标状态的Kalman估计； （2）实现传感器的局部状态估计的SCC和CI融合算法的实现； （3）画出局部估计和两种融合估计的位置、速度、加速度的误差； （4）画出局部估计和两种融合估计的协方差椭圆。 2.CVmodelfusion.m 主要功能： 功能与CAmodelfusion.m基本相似，差异在于实现基于CV模型的估计和估计融合。 3.CovInter.m 主要功能： 寻找CI融合算法的融合估计的协方差阵的行列式最小的权值。 4.f_plot_ellipse_m.m 主要功能： 绘制四种估计的协方差椭圆 (1.CAmodelfusion.m main functions: (1) completion of two sensors each target state based on CA model of Kalman estimation (2) the realization of the sensor partial state estimation algorithm SCC and CI integration and (3) Draw Local estimated position and two fusion estimation, velocity and acceleration errors (4) Draw two fusion of local estimates and estimated covariance ellipse. 2.CVmodelfusion.m Main Features: a CAmodelfusion.m similar, the difference is that the estimated CV-based estimation and model integration. 3.CovInter.m main functions: Find fusion algorithm fusion CI estimated covariance matrix of the determinant minimum weight. 4.f_plot_ellipse_m.m main functions: Draw four kinds estimate covariance ellipse)

This paper is a compilation of the book s problems Mitra digital signal processing 3 ed

文章A New Efficient Low-Complexity Scheme for Multi-Source Multi-Relay Cooperative Networks的仿真MATLAB代码，值得拥有。(This paper proposes a new efficient scheme for the combined use of cooperative diversity and multiuser diversity.)

matlab仿真精华，关于三相异步电机转向的案例，很有用(the matlab simulation essence the case of three-phase asynchronous motor steering, useful)

compressive sensing matlab code.

说明：  matlab利用maple的强大的函数功能实现ELGamla算法，是matlab的效率更高。(matlab function using maple powerful features to achieve ELGamla algorithm is more efficient matlab.)

是学习粒子滤波的经典算法，更好了解粒子滤波的概念和理论(learning classical particle filter algorithms, a better understanding of particle filter concepts and theories)