Swarm是一个非常有用的仿真工具，这是Swarm的Java程序编写教程，从最简单的程序开始一步一步教会读者如何使用Swarm来编写程序，最终依据所建立的数学模型实验Multi-agent的仿真
上传时间： 2016-05-08
上传用户：ruan2570406
三维目标跟踪，采用扩展KALMAN滤波~效果还算不错。
标签： 目标跟踪
上传时间： 2016-05-13
上传用户：xiaodu1124
双机无源定位的仿真，纯角度情况下的！主要使用了KALMAN滤波实现！
上传时间： 2013-12-11
上传用户：虫虫虫虫虫虫
本文提出了一种静止摄像机条件下的运动目标检测与跟踪算法。 它以一种改进的自适应 混合高斯模型为背景更新方法，用连通区检测算法分割出前景目标，以 Kalman滤波为运动模型实现对运动目标的连续跟踪。在目标跟踪时，该算法针对目标遮挡引起的各种可能情况.
上传时间： 2014-01-07
上传用户：凌云御清风
matlab，非线性卡尔曼滤波（ukf unscented kalman filtering），
标签： matlab
上传时间： 2016-05-15
上传用户：nanfeicui
This zip file provides Getting Started quickly on the AT91RM9200 Evaluation Kit (AT91RM9200-EK) with Green Hills 3.6.1 Multi® 2000 Software Tool. Includes main.html file for help.
标签： 9200 Evaluation provides Getting
上传时间： 2013-12-26
上传用户：cuibaigao
JLAB is a set of Matlab functions I have written or co-written over the past fifteen years for the purpose of analyzing data. It consists of four hundred m-files spanning thirty thousand lines of code. JLAB includes functions ranging in complexity from one-line aliases to high-level algorithms for certain specialized tasks. These have been collected together and made publicly available for you to use, modify, and --- subject to certain very reasonable constraints --- to redistribute. Some of the highlights are: a suite of functions for the rapid manipulation of multi-component, potentially multi-dimensional datasets a systematic way of dealing with datasets having components of non-uniform length tools for fine-tuning figures using compact, straightforward statements and specialized functions for spectral and time / frequency analysis, including advanced wavelet algorithms developed by myself and collaborators.
标签： co-written functions the fifteen
上传时间： 2014-01-26
上传用户：hjshhyy
一个iscsi实现源码，值得参考。It is a high-performance, transport independent, multi-platform implementation of RFC3720 iSCSI.
上传时间： 2016-06-30
上传用户：it男一枚
基于统计模型的滤波方法，用于非线性滤波，涉及倒Kalman滤波
上传时间： 2016-07-12
上传用户：erkuizhang
Zigbee 精简版技术协议，英文原版的，很好，值得参考！ A Zigbee-subset/IEEE 802.15.4 Multi-platform Protocol Stack
上传时间： 2013-12-09
上传用户：sqq
