matlab

Source code implement clustering algorithm

一种卡尔曼滤波器设计，针对稳态卡尔曼滤波，卡尔曼滤波，稳态(Kalman filter is designed for steady-state Kalman filter, Kalman filtering, steady)

自己编写的数字滤波器工具箱，界面和功能均参照MATLAB中的FDATOOL工具箱。能实现FIR，IIR各种数字滤波器的设置。(A program designed in MATLAB GUIDE with the interface and function of FDATOOL in matlab. )

在matlab7.0环境下RLC电路的GUI(Matlab7.0 RLC circuit in a GUI environment)

lte code fore simulation with matlab

1、设计一个62阶低通滤波器，采样频率为9kHz，通带截止频率为3kHz，要求阻带最小衰减50dB。 2、将滤波器系数输出到txt文本文档。 (1, the design of a 62-order low-pass filter, the sampling frequency is 9kHz, passband cutoff frequency of 3kHz, requires a minimum stopband attenuation 50dB. 2, the output of the filter coefficients to txt documents.)

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)

试用时域最小平方误差准则（最小平方逆设计）设计一个具有四项系数的IIR DF的系统函数，使其在y(n)=[3,2,1]输入激励下，输出v(n)逼近d(n)=[2,0.2,0.05]。令v(-1)=v(-2)=0。求出v(n)的前8个样值与d(n)进行比较。用matlab实现了此要求。(trial at the least square error domain guidelines (minimum inverse square design) design with a four DF IIR coefficient of the system function, so in y (n) = [3,2,1] incentive to import, export v (n) approximation d (n) = [2,0.2,0.05]. So v (1) = v (2) = 0. Get v (n) of eight samples value d (n) comparisons. Using Matlab realization of this request.)

模拟EDF输出的两连续光波的FWM作用模块(EDF continuous analog output light of the FWM effect of the two modules)

InSAR成像及配准程序 在成像的同时配准(InSAR imaging and registration procedures in imaging while registration)