The Kalman filter is an efficient recursive filter that estimates the state of a linear dynamic system from a series of noisy measurements. It is used in a wide range of engineering applications from radar to computer vision, and is an important topic in control theory and control systems engineering. Together with the linear-quadratic regulator (LQR), the Kalman filter solves the linear-quadratic-Gaussian control problem (LQG). The Kalman filter, the linear-quadratic regulator and the linear-quadratic-Gaussian controller are solutions to what probably are the most fundamental problems in control theory.
標簽: filter efficient estimates recursive
上傳時間: 2017-08-06
上傳用戶:風(fēng)之驕子
Some time ago, I stated in another article that I d take the idea of location broadcasting and develop a mobile solution as a follow-up. The problem back then was I had no means to get location data off of a cell phone, or a way to make it useful. My, how times have changed since then! In this article, I ll demonstrate how to get your phone s GPS coordinates…
標簽: broadcasting location another article
上傳時間: 2013-12-25
上傳用戶:李夢晗
face detection Face detection can be regarded as a more general case of face localization In face localization, the task is to find the locations and sizes of a known number of faces (usually one). In face detection, one does not have this additional information. Early face-detection algorithms focused on the detection of frontal human faces, whereas newer algorithms attempt to solve the more general and difficult problem of multi-view face detection. That is, the detection of faces that are either rotated along the axis from the face to the observer (in-plane rotation), or rotated along the vertical or left-right axis (out-of-plane rotation),or both.
標簽: detection face localization regarded
上傳時間: 2014-01-10
上傳用戶:wfeel
This file for experiment of C8051 Microcontroller(SILABS company) with USB interface that use keil programming if you have some problem for this file, please contact me with sofa24@hotmail.com
標簽: Microcontroller experiment interface company
上傳時間: 2017-08-24
上傳用戶:woshini123456
卡耐基.梅隆大學(xué)的牛發(fā)寫的關(guān)于孤立點和數(shù)據(jù)清洗的文章,全英文,2003年完成,Probabilistic Noise Identification and Data Cleaning,Real world data is never as perfect as we would like it to be and can often suffer from corruptions that may impact interpretations of the data, models created from the data, and decisions made based on the data. One approach to this problem is to identify and remove records that contain corruptions. Unfortunately, if only certain fields in a record have been corrupted then usable, uncorrupted data will be lost. In this paper we present LENS, an approach for identifying corrupted fields and using the remaining noncorrupted fields for subsequent modeling and analysis.
標簽: 大學(xué) 數(shù)據(jù)
上傳時間: 2017-08-29
上傳用戶:thinode
RSA ( Rivest Shamir Adleman )is crypthograph system that used to give a secret information and digital signature . Its security based on Integer Factorization Problem (IFP). RSA uses an asymetric key. RSA was created by Rivest, Shamir, and Adleman in 1977. Every user have a pair of key, public key and private key. Public key (e) . You may choose any number for e with these requirements, 1< e <Æ (n), where Æ (n)= (p-1) (q-1) ( p and q are first-rate), gcd (e,Æ (n))=1 (gcd= greatest common divisor). Private key (d). d=(1/e) mod(Æ (n)) Encyption (C) . C=Mª mod(n), a = e (public key), n=pq Descryption (D) . D=C° mod(n), o = d (private key
標簽: crypthograph information Adleman Rivest
上傳時間: 2017-09-01
上傳用戶:chfanjiang
A sparse variant of the Levenberg-Marquardt algorithm implemented by levmar has been applied to bundle adjustment, a computer vision/photogrammetry problem that typically involves several thousand variables
標簽: Levenberg-Marquardt implemented algorithm applied
上傳時間: 2013-12-23
上傳用戶:wqxstar
自主移動機器人是目前機器人發(fā)展的主流,隨著其應(yīng)用領(lǐng)域的不斷擴展和自動化程度的進一步提高,對機器人的功能提出了更高的要求,特別是需要各種具有不同智能程度的機器人,能夠設(shè)定自己的目標,規(guī)劃并執(zhí)行自己的任務(wù)動作,不斷適應(yīng)環(huán)境的變化。在移動機器人相關(guān)技術(shù)研究中,導(dǎo)航技術(shù)是其核心,而路徑規(guī)劃是導(dǎo)航技術(shù)研究的一個重要環(huán)節(jié)和組成部分。路徑規(guī)劃是智能移動機器人研究的核心內(nèi)容之一,它起始于20世紀70年代,迄今為止,已有大量的研究成果報道[1]。大多數(shù)國內(nèi)外文獻將此問題稱為Path Planning,F(xiàn)ind-Path Problem, Collision-Free,Obstacle Avoidance,Motion Planning,etc.。所謂移動機器人路徑規(guī)劃技術(shù),是指移動機器人在一定的環(huán)境(通常具有障礙物)中,能夠按照某種標準,如工作代價最小、行走路線最短、行走時間最短等,自行規(guī)劃出一條到達指定終點的無碰路徑,同時高效完成作業(yè)任務(wù)。
標簽: 機器人;路徑
上傳時間: 2015-03-16
上傳用戶:Freesky1
Convex optimization problem
標簽: Convex optimization
上傳時間: 2015-03-23
上傳用戶:飛來大貨車
1.河內(nèi)之塔........................................................................................................................................ 4 2.Algorithm Gossip: 費式數(shù)列........................................................................................................ 5 3. 巴斯卡三角形.............................................................................................................................. 6 4.Algorithm Gossip: 三色棋............................................................................................................ 7 5.Algorithm Gossip: 老鼠走迷官(一)........................................................................................ 9 6.Algorithm Gossip: 老鼠走迷官(二)...................................................................................... 11 7.Algorithm Gossip: 騎士走棋盤.................................................................................................. 13 8.Algorithm Gossip: 八皇后.......................................................................................................... 16 9.Algorithm Gossip: 八枚銀幣...................................................................................................... 18 10.Algorithm Gossip: 生命游戲.................................................................................................... 20 11.Algorithm Gossip: 字串核對.................................................................................................... 23 12.Algorithm Gossip: 雙色、三色河內(nèi)塔.................................................................................... 25 13.Algorithm Gossip: 背包問題(Knapsack Problem)............................................................. 29 14.Algorithm Gossip: 蒙地卡羅法求PI...................................................................................... 34 15.Algorithm Gossip: Eratosthenes 篩選求質(zhì)數(shù)............................................................................36 16.Algorithm Gossip: 超長整數(shù)運算(大數(shù)運算)....................................................................37 17.Algorithm Gossip: 長PI...........................................................................................................39 18.Algorithm Gossip: 最大公因數(shù)、最小公倍數(shù)、因式分解....................................................43 19.Algorithm Gossip: 完美數(shù)........................................................................................................ 46 20.Algorithm Gossip: 阿姆斯壯數(shù)................................................................................................ 49 21.Algorithm Gossip: 最大訪客數(shù)................................................................................................ 50 22.Algorithm Gossip: 中序式轉(zhuǎn)后序式(前序式)....................................................................52 23.Algorithm Gossip: 后序式的運算............................................................................................ 56 24.Algorithm Gossip: 洗撲克牌(亂數(shù)排列)............................................................................58 25.Algorithm Gossip: Craps 賭博游戲...........................................................................................60 26.Algorithm Gossip: 約瑟夫問題(Josephus Problem)...........................................................62 27.Algorithm
標簽: C語言算法經(jīng)典
上傳時間: 2015-04-30
上傳用戶:cascas
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