fusion

本论文对道路提取算法进行分析，综合，同时对特征进行了细致的分析综合，提出了相应的算法(road detection)

说明：  此程序针对地震原始数据形式：单边激发单边接收以计算走时(This process raw data in the form of seismic: unilateral unilateral excitation to calculate the travel time to receive)

this code is to perform frequency shift keying modulation technique

face detection.matlab programs of face detection implementation.

基于LDPC码的信道编码与物理层网络编码联合设计方案(Based on the physical layer channel coding and network coding jointly designed LDPC codes)

log of a structure 9 story

带有异步清零和置数信号（置数为全逻辑1）的4位寄存器(With asynchronous clear and set the number of signals (set the number for the whole logic 1) of the four registers)

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)

通过MATLAB来实现的一个对于简单背景下小球的一个滤波模拟过程(MATLAB to achieve through a simple background for a ball filter simulation)

speed control of d c motor by using cycloconverter