分数阶动态和控制_书

using the perspective projection to obtained my algorithm

目标跟踪问题的应用背景是雷达数据处理，即雷达在搜索到目标并记录目标的位置数据, 对测量到的目标位置数据（称为点迹）进行处理，自动形成航迹，并对目标在下一时刻的位置进行预测。 ben文简要讨论了用Kalman滤波方法对单个目标航迹进行预测，并借助于Matlab仿真工具，对实验的效果进行评估。 trajectory.m产生理论的航迹，并绘出 Kalman_filter.m 利用Kalman滤波算法，对目标的航迹进行估计 filter_result.m kalman滤波估计的结果，以及估计误差的均值和标准差曲线(target tracking application context radar data processing, radar in search of the goals and objectives of the record location data, for the measurement of target location data (known as trace points), automatic track, as well as the next target location for the moment forecast. Ben paper with a brief discussion of Kalman filtering method to a single target track forecast and using Matlab tool for experimental evaluation of effectiveness. Trajectory.m have theoretical track, and draws Kalman_filter.m using Kalman filtering algorithm, the target track estimated filter_result.m Kalman filtering results, and the estimated error of the mean and standard deviation of curve)

code for segmenting images using graph theory

SNOPT 大型非线性规划软件windows系统32位 64位均有(SNOPT Nonlinear Program )

用matlab编写的家庭安全监控系统,运用无线网络摄像头，同软件实时监控家庭实际情况。(Home Security System write by matlab.)

在matlab平台下，编程实现矢量数据的显示，简单易懂！(In the matlab platform, programming to realize vector data display, easy to understand)

该演示中包含的代码演示如何氡相似的功能，可以用来提高（以及部分）在Connectome电磁图像单元格边界。 请举出下列文件如果您发现此代码有用： Ritwik库马尔，阿梅里奥五雷纳和Hanspeter Pfister说“氡样的特点及其应用Connectomics”，接受，IEEE计算机学会研讨会在生物医学图像分析（MMBIA）2010年数学方法 http://seas.harvard.edu/〜 rkkumar radonLikeFeaturesDemo.m：演示边缘增强用氡相似的功能， getEdgeFeatures.m：助手为高斯函数的二阶导数滤波器 makeBarFilters.m：助手为高斯函数的二阶导数滤波器 sample.png：示例图像在此演示使用(The demo included in the code demonstrates how Radon-Like Features can be used to enhance (and segment) cell boundaries in Connectome EM images. Please cite the following paper if you find this code useful: Ritwik Kumar, Amelio V. Reina & Hanspeter Pfister, “Radon-Like Features and their Application to Connectomics”, accepted, IEEE Computer Society Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA) 2010 http://seas.harvard.edu/~rkkumar radonLikeFeaturesDemo.m : Demonstrates edge enhancement using Radon-Like Features getEdgeFeatures.m : Helper function for Gaussian Second Derivative Filters makeBarFilters.m : Helper function for Gaussian Second Derivative Filters sample.png : Sample image for use in this demo )

This book constitutes an excellent source for understanding the basic operation of the Global Positioning Systems (GPS). It also allows the reader to take the first steps towards understanding how the Kalman Filter is implemented in the estimation of drifting parameters of the GPS. The "Kalman Filter Basics" chapter is preceded by a description of the different errors that affect the GPS signals. Furthermore, this book includes sections on the Wide-Area Augmentation System, Inertial Navigation, and Differential GPS, which enables the understanding of these concepts and thus, provides the reader an overall perspective of the Global Positioning System.

matlab的经典算法程序。包括差值拟合与规划问题；绘图；数据分析与解方程等。还有ppt说明。(classic algorithm matlab program. Including the difference between the fitting and planning issues drawing data analysis and solution of equations and so on. There ppt instructions.)

上传Matlab源代码程序，希望对下载的人有所帮助(Upload Matlab source code procedures in the hope that the right people download help)