matlab-chapter3

ebook of Gaussian Markove Random Fields

matlab遍历算法程序，对所有的元素都遍历一篇，已经验证可用(traversal algorithm matlab procedures, all the elements are traversed one has been used to verify)

维特比译码，采用软件的方法实现维特比译码，仿真效果很好。(Viterbi decoding using the software Viterbi decoding, the simulation results is very good.)

embedded Matlab code for lms

一个简单的CA模型，用于仿真实践，使初学者很容易接受，简单易懂(A simple CA model, for the simulation of practice, so that beginners are easy to accept, easy to understand)

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)

用来描述铁电存储器MFIS-FET结构的C-V（即电容-电压）关系(Used to describe the ferroelectric memory MFIS-FET structure of CV (ie capacitance- voltage) relationship)

MATLAB 和C语言进行混编的教程，很详细，具有较强的指导作用(MATLAB and C mixed language tutorial, very detailed, has a strong role in guiding)

在MATLAB环境下四个实验,压缩解压以便日后使用(change picture)

Fourier series in Matlab