The-mDoppler-in-Radar-With-DVD

关于随机共振中的非线性平行阵列的程序，提供了多种非线性模型的仿真(About nonlinear stochastic resonance in a parallel array of procedures, provides a variety of nonlinear model simulation)

描述光在非线性介质中的传输，用的方法为分布付里叶方法。(Described in the non-linear optical transmission medium, the methodology used for the distribution of Fourier methods.)

介绍了常见的时频分析方法，包括短时傅里叶变换，Wigner-Ville分布以及小波变换等，结合MATLAB，引导读者如何运用其来进行时频分析(Describes the common time-frequency analysis methods, including short time Fourier transform, Wigner-Ville distribution and wavelet transform, combined with MATLAB, to guide the reader how to use it to carry out time-frequency analysis)

此函数是根据柯西分布概率密度函数和累积分布函数的概念而编写的matlab程序，并附有一个测试程序。(This function is based on the Cauchy distribution probability density function and cumulative distribution function of the concept and write matlab program, together with a test program.)

偏振复用正交相移监控通信系统信噪比理论值计算(Polarization multiplexed quadrature phase shift monitoring communication system signal-to-noise ratio theoretical value)

结构分析的有限元法与MATLAB程序设计，讲述了结构有限元分析的原理，以及编程设计方法(FEM structural analysis and design of the MATLAB program, about the principles of finite element analysis, design and programming)

Three phase full wave rectifier simulation using matlab, simulink

了解快捷编程过程、技巧、方法和避免不必要的 Bug。(Understanding of the process of fast programming, techniques, methods, and to avoid unnecessary Bug.)

说明：  BD算法，实现了BD预编码算法，系统吞吐量的计算，采用注水法(BD algorithm to achieve the BD pre-encoding algorithm, the system throughput computing, the use of water injection)

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)