A dynamic texture model for imaging through turbulence 1 Introduction

Mbarrera

Description

• fiche de synthèse - matière potentielle : the algorithm

A dynamic texture model for imaging through turbulence Mario Micheli∗, Yifei Lou†, Stefano Soatto‡, Andrea L. Bertozzi∗ , , , ∗Department of Mathematics, UCLA, Los Angeles, CA 90095-1555 †School of Electrical and Computer Engineering, Georgia Inst. of Technology, Atlanta, GA 30332 ‡Department of Computer Science, UCLA, Los Angeles, CA 90095-1596 Abstract In this paper we address the problem of recovering an image from a sequence of distorted versions of it, where the distortion is caused

• better choice
• initial guess of the initial value of the natural frequency
• such transformations
• system parameters
• lucky frame
• image sequence
• image
• model
• initial state
• problem

Sujets

• Shimizu
• California
• Problem
• Initial
• Parameter
• Choice

Informations

• Publié par: figas
• Nombre de lectures: 19
• Langue: English
• Poids de l'ouvrage: 6 Mo

Extrait

JD Edwards EnterpriseOne
Forecast Management 9.0
Implementation Guide
September 2008JD Edwards EnterpriseOne Forecast Management 9.0 Implementation Guide
SKU e190AFM-B 0908
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General Preface
AboutThisDocumentationPreface.......................................................................xi
JD Edwards EnterpriseOne Application Prerequisites..............................................................xi
ApplicationFundamentals.....................................................................................xi
Documentation Updatesand Downloading Documentation.......................................................xii
Obtaining Documentation Updates.......................................................................xii
Downloading Documentation......................................................................................xii
Additional Resources..........................................................................................xii
TypographicalConventionsand Visual Cues.......................................................................xiii
TypographicalConventions...............................................................................xiv
VisualCues..........................................................................................................xiv
Country, Region, and Industry Identifiers................................................................xv
Currency Codes.....................................................................................................xvi
Comments and Suggestions..................................................................................xvi
CommonFieldsUsedinImplementationGuides..................................................................xvi
Preface
JDEdwardsEnterpriseOneForecastManagementPreface.......................................xix
JD Edwards EnterpriseOne Products................................................................................xix
JD E Application Fundamentals...................................................xix
CommonFieldsUsedinThisImplementationGuide..............................................................xx
Chapter 1
GettingStartedwithJDEdwardsEnterpriseOneForecastManagement..........................1
JD Edwards EnterpriseOne Forecast Management Overview.....................................................1
JD E Management Integrations........................................2
JD Edwards EnterpriseOne Forecast Management Implementation..............................................3
Global Implementation Steps.............................................................................3
Forecast Management Implementation Steps....................................................................4
Chapter 2
UnderstandingForecastManagement.....................................................................5
Description of Forecast Management........................................................................5
Copyright © 2003-2008, Oracle and/or its affiliates. All rights reserved. vContents
Features of Forecast Management....................................................................................6
Tables Used by Forecast Management......................................................................7
Chapter 3
ngForecastLevelsandMethods.................................................Understandi ..........9
ForecastPerformanceEvaluationCriteria..................................................................9
Forecasting Methods...................................................................................................10
centOverLastYear.......................................................................Method 1: Per11
Method2: CalculatedPercentOverLastYear.................................................................12
Method3: LastYeartoThisYear.........................................................................13
ving Average................................................................................Method 4: Mo ........14
Method 5: Linear Approximation.........................................................................15
Method 6: LeastSquaresRegression...........................................................................16
econdDegree