Tài liệu CALTRANS PROJECT MANAGEMENT HANDBOOK 2007 pdf

... www.dot.ca.gov/hq/projmgmt Caltrans Project Management Handbook October, 2007 Processes Overview Project Processes 30 Caltrans Project Management Handbook Phase Component WBS Process 100.05 Project Management- ... Caltrans Project Management Handbook 17 2 PROJECT LIFECYCLE This chapter describes each component in the project lifecycle Lifecycle Overview Project Lifecycle 18 Caltrans Project Management ... the project lifecycle Project Lifecycle Project Initiation Document Component (PID) Caltrans Project Management Handbook 19 Project Initiation Document Component (PID) Caltrans capital projects...

... 9-1 – Project Control Triangle Construction Project Management Handbook 2007 9-3 PROJECT SUPPORT Federal Transit Administration document the approach to project control in the Project ... UP A PROJECT .  KNOW YOUR PROJECT S SCOPE, LIFE CYCLE, AND PHASES. Construction Project Management Handbook 2007 9-9 PROJECT SUPPORT Federal Transit Administration 9.2 PROJECT ... construction project management. It provides a comprehensive introduction to construction project management, including the applicability of the principles of project management and of all phases of project...

... programmatically access your workbook. This feature is also known as Information Rights Management (IRM). Excel 2007 uses a server to authenticate users and decide which permissions (if any)a user ... tools were initiallyreleased as Microsoft Data Analyzer and are now part of Microsoft Office Excel 2007. The inspiration forMaximal was in student-assessment software developed at Memad Educational ... Senior Test Lead who works for Microsoft in Redmond, Washington. For the OfficeSharePoint Server 2007 release, he is the Release Test Lead for Excel Services. He also leads a team oftesters who...

... CIEInternational Radar Conference,Beijing, China, Oct. 8-10, 1996.[6] Staudaher, F.M., Airborne MTI,Radar Handbook, Skolnik, M.I., Ed., McGraw-Hill, New York,1990, chap. 16.[7] Wang, H.,Space-Time Processing ... LLCSpace-TimeAdaptiveProcessingforAirborneSurveillanceRadarHongWangSyracuseUniversity70.1MainReceiveApertureandAnalogBeamforming70.2DatatobeProcessed70.3TheProcessingNeedsandMajorIssues70.4TemporalDOFReduction70.5AdaptiveFilteringwithNeededandSample-SupportableDOFandEmbeddedCFARProcessing70.6Scan-To-ScanTrack-Before-DetectProcessing70.7Real-TimeNonhomogeneityDetectionandSampleConditioningandSelection70.8SpaceorSpace-RangeAdaptivePre-SuppressionofJammers70.9ASTAPExamplewithaRevisittoAnalogBeamforming70.10SummaryReferencesSpace-TimeAdaptiveProcessing(STAP)isamulti-dimensionalfilteringtechniquedevelopedforminimizingtheeffectsofvariouskindsofinterferenceontargetdetectionwithapulsedairbornesurveillanceradar.Themostcommondimensions,orfilteringdomains,generallyincludetheaz-imuthangle,elevationangle,polarizationangle,dopplerfrequency,etc.inwhichtherelativelyweaktargetsignaltobedetectedandtheinterferencehavecertaindifferences.Inthefollowing,theSTAPprinciplewillbeillustratedforfilteringinthejointazimuthangle(space)anddopplerfrequency(time)domainonly.STAPhasbeenaveryactiveresearchanddevelopmentareasincethepublicationofReedetal.’sseminalpaper[1].WiththerecentlycompletedMultichannelAirborneRadarMeasurementproject(MCARM)[2]–[5],STAPhasbeenestablishedasavaluablealternativetothetraditionalapproaches,suchasultra-lowsidelobebeamformingandDisplacedPhaseCenterAntenna(DPCA)[6].MuchofSTAPresearchanddevelopmenteffortshavebeendrivenbytheneedstomakethesystemaffordable,tosimplifyitsfront-hardwarecalibration,andtominimizethesystem’sperformancelossinseverelynonhomogeneousenvironments.Figure70.1isageneralconfigurationofSTAPfunctionalblocks[5,7]whoseprincipleswillbediscussedinthefollowingsections.c1999byCRCPressLLCFIGURE...

... stronglyaffects performance). The solution to this least-squares (LS) problem follows from the well-knownprojection theoremEX(k)(XH(k)W − s∗(k − ζ))= 0(68.17)This leads toW =EX(k)XH(k)−1EX(k)s∗(k ... withrespect to the unknowns, one approach to minimize the cost function in Eq. (68.31) is alternatingprojections. Starting with an initial estimate of A, we minimize Eq. (68.31) with respect to S,...

... U(s)(U(s))H)x(66.30)=1|γ(n)|(x − U(s)γ(s))(66.31)where u(n)is the projection of x into the noise subspace and |γ(n)|=|x − U(s)γ(s)| is the power ofx projected into the noise subspace. Once the eigenvectors ... eigen tracker at the core.Bin Yang [43] introduced a projection approximation approachthat uses RLS techniques to updatethe signal subspace. The projection approximation subspace tracker (PAST) ... computation.Bin Yang [43] used recursive least squares (RLS) methods with a projection approximation approachto develop the projection approximation subspace tracker (PAST) which tracks an arbitrary...

... Williamson, G.A. “Adaptive IIR Filters”Digital Signal Processing Handbook Ed. Vijay K. Madisetti and Douglas B. WilliamsBoca Raton: CRC Press LLC, 1999c1999byCRCPressLLCand ... stability of A(q−1,n)and, if it is unstable, prevent the update of theai(n +1) values in W(n +1),orprojectW(n +1) back into the set of parameter vector values whosecorresponding A(q−1,n)polynomial ... can possibly converge to a set of parameters yielding anunstable filter. The stability check and projection steps noted above will prevent such convergencein the on-line version, contributing...

... Sayed, A.H. & Rupp, M. “Robustness Issues in Adaptive Filtering”Digital Signal Processing Handbook Ed. Vijay K. Madisetti and Douglas B. WilliamsBoca Raton: CRC Press LLC, 1999c1999byCRCPressLLCFIGURE ... thissystem will be robust if the feedback path is a contractive system. For the special case of the projectionfiltered-error LMS algorithm that employs the step-size µ(i) = α ¯µ(i), α > 0,wi= ... procedure.Figure20.9showsthreeconvergencecurvesoftheaveragesquarederrorAv[|e(i)|2]=15050j=1|ej(i)|2,as determined from 50 simulation runs of the projection filtered-error LMS algorithm for the choicesα = 0.085,α= 0.15 and α = 0.18, respectively....

... are much more difficult to characterize. Adaptive IIR filtersare discussed in Chapter 23 of this Handbook. Speed of ConvergenceThe rate at which the coefficients approach their optimum values is ... isfamiliar with the adaptive filtering task and the LMS adaptive filter as described in Chapter 18 of this Handbook. 19.2 Characterizing the Performance of Adaptive FiltersThere are two practical methods...

... Djuric, P.M. & Kay S.M. “Spectrum Estimation and Modeling”Digital Signal Processing Handbook Ed. Vijay K. Madisetti and Douglas B. WilliamsBoca Raton: CRC Press LLC, 1999c1999byCRCPressLLCwhere...