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  • Aiming at the application of passive trackinn based on sensor array, a new passive trackinn usinn se

    Aiming at the application of passive trackinn based on sensor array, a new passive trackinn usinn sensor array based on particle filter was proposed. Firstly, the“fake points" could be almost entirely and exactly deleted with the aids of the sensor array at the expense of an additional sensor. Secondly, considered the fact that the measurements notten from each array were independent in passive trackinn system, a novel sequential particle filter usinn sensor array with improved distribution was proposed. At last, in a simulation study we compared this approach a壇orithm with traditional trackinn methods. The simulation re-sups show that the proposed method can nreatly improve the state estimation precision of sensor array passive trackinn system.

    標簽: trackinn passive application Aiming

    上傳時間: 2015-12-31

    上傳用戶:trepb001

  • In this article, we present an overview of methods for sequential simulation from posterior distribu

    In this article, we present an overview of methods for sequential simulation from posterior distributions. These methods are of particular interest in Bayesian filtering for discrete time dynamic models that are typically nonlinear and non-Gaussian. A general importance sampling framework is developed that unifies many of the methods which have been proposed over the last few decades in several different scientific disciplines. Novel extensions to the existing methods are also proposed.We showin particular how to incorporate local linearisation methods similar to those which have previously been employed in the deterministic filtering literature these lead to very effective importance distributions. Furthermore we describe a method which uses Rao-Blackwellisation in order to take advantage of the analytic structure present in some important classes of state-space models. In a final section we develop algorithms for prediction, smoothing and evaluation of the likelihood in dynamic models.

    標簽: sequential simulation posterior overview

    上傳時間: 2015-12-31

    上傳用戶:225588

  • 1 安裝:首先安裝MPLAB IDE V7.42的程序

    1 安裝:首先安裝MPLAB IDE V7.42的程序,然后再安裝C的組件PICC8.05-PL.安裝過程中全部確認選擇,完畢后重啟計算機。 2 激活:(PICC8.05-PL) 運行“開始”菜單下的“HI-TECH SOFTWARE”中的 激活(Complier Activation)程序, 再同時啟動算號器程序(HtkeyGen.exe),將last Name前的勾去掉,填入公司名稱,算出相應內 容填入激活程序相應欄目,OK即可完成激活。 3 設置: 3.1 將MPLAB 7.42啟動后,在文件欄中打開C的桌面項目文件,在Project欄目中 檢查 select language Toolsuite...中的選項,所有路徑須指向安裝路徑如C:\HT-PIC\BIN\PICC.EXE; 3.2 在Project欄目中檢查 setlanguage Tool Locations中的HI-TECH ToolsuiteXDGR 相關選項,executables中各程序應指向picc.exe Default Search Paths & Directories中 的相關路徑應為安裝目錄如C:\HT-PIC\include 和C:\HT-PIC\lib; 3.3 設置programmer中的select programmer選項為"MPLAB IED 2"(經驗:如果不打開編譯器,此選項無法選中)。 3.4 設置單片機型號,在Congfigure中的Select Device選擇準確的芯片型號;

    標簽: MPLAB 7.42 IDE 程序

    上傳時間: 2016-01-01

    上傳用戶:Ants

  • You imagine? Right, there s more than one possibility, this time I ll give you tree. One for your pr

    You imagine? Right, there s more than one possibility, this time I ll give you tree. One for your private data, one for the common data in order to receive data from other applications like Excel, WinWord etc. and at last, I ll give you a handy-dandy class you can derive ANY MFC object from, to make it a drop target

    標簽: possibility imagine Right there

    上傳時間: 2013-12-21

    上傳用戶:jichenxi0730

  • Data mining (DM) is the extraction of hidden predictive information from large databases (DBs). Wit

    Data mining (DM) is the extraction of hidden predictive information from large databases (DBs). With the automatic discovery of knowledge implicit within DBs, DM uses sophisticated statistical analysis and modeling techniques to uncover patterns and relationships hidden in organizational DBs. Over the last 40 years, the tools and techniques to process structured information have continued to evolve from DBs to data warehousing (DW) to DM. DW applications have become business-critical. DM can extract even more value out of these huge repositories of information.

    標簽: information extraction predictive databases

    上傳時間: 2016-03-19

    上傳用戶:啊颯颯大師的

  • This paper provides incumbent wireless Internet service providers (WISPs), new WISPs and demanding

    This paper provides incumbent wireless Internet service providers (WISPs), new WISPs and demanding new markets (such as government and education) with a technical analysis of alternatives for implementing last-mile wireless broadband services.

    標簽: WISPs incumbent demanding providers

    上傳時間: 2014-01-05

    上傳用戶:二驅蚊器

  • pav 反病毒源碼 /*************************************************************************** * * * Fi

    pav 反病毒源碼 /*************************************************************************** * * * File: ANTI-VIRUS * * Function: This program demostrating file anti-virus managment * * * * Author: Long Yun Liang * * First edit: 1995,3,10 * * last edit: 1996,11,5 All Rights Reserved * * * * * ***************************************************************************/

    標簽: pav Fi 反病毒 源碼

    上傳時間: 2014-01-14

    上傳用戶:hullow

  • Waterfilling algorithm (from [Palomar and Fonollosa, Trans-SP2004]) to compute: pi = (mu*ai - bi

    Waterfilling algorithm (from [Palomar and Fonollosa, Trans-SP2004]) to compute: pi = (mu*ai - bi)^+ sum(pi) = Pt By Daniel Perez Palomar (last revision: May 10, 2004).

    標簽: Waterfilling Fonollosa algorithm Trans-SP

    上傳時間: 2014-01-10

    上傳用戶:liansi

  • This function obtains a unitary matrix Q such that: d=diag(Q *diag(lmd)*Q). In other words, it gi

    This function obtains a unitary matrix Q such that: d=diag(Q *diag(lmd)*Q). In other words, it gives a way to generate a matrix with given eigenvalues and diagonal elements. By Daniel Perez Palomar (last revision: May 10, 2004). Feel free to distribute this file as it is (without including any modifications).

    標簽: diag function obtains unitary

    上傳時間: 2013-12-19

    上傳用戶:dsgkjgkjg

  • 北京大學ACM比賽題目 Consider an infinite full binary search tree (see the figure below), the numbers in the

    北京大學ACM比賽題目 Consider an infinite full binary search tree (see the figure below), the numbers in the nodes are 1, 2, 3, .... In a subtree whose root node is X, we can get the minimum number in this subtree by repeating going down the left node until the last level, and we can also find the maximum number by going down the right node. Now you are given some queries as "What are the minimum and maximum numbers in the subtree whose root node is X?" Please try to find answers for there queries.

    標簽: the Consider infinite numbers

    上傳時間: 2013-12-16

    上傳用戶:日光微瀾

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