000 | 08595nam a2202797 i 4500 | ||
---|---|---|---|
001 | 5263120 | ||
003 | IEEE | ||
005 | 20191218152114.0 | ||
006 | m o d | ||
007 | cr |n||||||||| | ||
008 | 100317t20152007njua ob 001 0 eng d | ||
020 |
_a9780470544198 _qelectronic |
||
020 |
_z9780470120958 _qprint |
||
020 |
_z0470544198 _qelectronic |
||
024 | 7 |
_a10.1109/9780470544198 _2doi |
|
035 | _a(CaBNVSL)mat05263120 | ||
035 | _a(IDAMS)0b000064810c3281 | ||
040 |
_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL |
||
050 | 4 |
_aQA279.5 _b.B3855 2007eb |
|
082 | 0 | 4 |
_a620.001519542 _222 |
245 | 0 | 0 |
_aBayesian bounds for parameter estimation and nonlinear filtering / tracking / _cedited by Harry L. van Trees and Kristine L. Bell. |
264 | 1 |
_aPiscataway, New Jersey : _bIEEE Press, _cc2007. |
|
264 | 2 |
_a[Piscataqay, New Jersey] : _bIEEE Xplore, _c[2007] |
|
300 |
_a1 PDF (xvi, 951 pages) : _billustrations. |
||
336 |
_atext _2rdacontent |
||
337 |
_aelectronic _2isbdmedia |
||
338 |
_aonline resource _2rdacarrier |
||
504 | _aIncludes bibliographical references and index. | ||
505 | 0 | _aBayesian Cram�er-Rao Bounds -- Global Bayesian Bounds -- Hybrid Bayesian Bounds -- Constrained Cram�er-Rao Bounds -- Applications: Static Parameters -- Nonlinear Stochastic Dynamic Systems -- Applications: Nonlinear Dynamic Systems -- Statistical Literature. | |
506 | 1 | _aRestricted to subscribers or individual electronic text purchasers. | |
520 | _aBayesian Bounds provides a collection of the important papers dealing with the theory and application of Bayesian bounds. The book is essential to both engineers and statisticians whether they are practitioners or theorists. Each part of the book is introduced with the contributions of each selected paper and their interrelationship. | ||
530 | _aAlso available in print. | ||
538 | _aMode of access: World Wide Web | ||
588 | _aDescription based on PDF viewed 12/21/2015. | ||
650 | 0 | _aBayesian statistical decision theory. | |
650 | 0 | _aParameter estimation. | |
650 | 0 | _aFilters (Mathematics) | |
650 | 0 | _aNonlinear theories. | |
655 | 0 | _aElectronic books. | |
695 | _aPulse modulation | ||
695 | _aRadar | ||
695 | _aRadar tracking | ||
695 | _aRandom processes | ||
695 | _aRandom variables | ||
695 | _aRate distortion theory | ||
695 | _aRate-distortion | ||
695 | _aReceivers | ||
695 | _aReflection | ||
695 | _aRefractive index | ||
695 | _aResearch and development | ||
695 | _aSea measurements | ||
695 | _aSea surface | ||
695 | _aSections | ||
695 | _aSensor arrays | ||
695 | _aSensors | ||
695 | _aShape | ||
695 | _aSignal design | ||
695 | _aSignal processing | ||
695 | _aSignal resolution | ||
695 | _aSignal to noise ratio | ||
695 | _aSilicon carbide | ||
695 | _aSmoothing methods | ||
695 | _aSonar | ||
695 | _aSonar equipment | ||
695 | _aSpecial issues and sections | ||
695 | _aSpeech processing | ||
695 | _aStochastic processes | ||
695 | _aStochastic systems | ||
695 | _aSufficient conditions | ||
695 | _aSwitches | ||
695 | _aSymmetric matrices | ||
695 | _aSynchronization | ||
695 | _aSystem-on-a-chip | ||
695 | _aTarget tracking | ||
695 | _aTerrain mapping | ||
695 | _aTime frequency analysis | ||
695 | _aTime measurement | ||
695 | _aTraining | ||
695 | _aTrajectory | ||
695 | _aTransforms | ||
695 | _aTransmitters | ||
695 | _aUSA Councils | ||
695 | _aUncertainty | ||
695 | _aUpper bound | ||
695 | _aVectors | ||
695 | _aVoltage control | ||
695 | _aVolume measurement | ||
695 | _aWeight measurement | ||
695 | _aWhite noise | ||
695 | _aWiener filter | ||
695 | _aYttrium | ||
695 | _aZinc | ||
695 | _aAWGN | ||
695 | _aAccuracy | ||
695 | _aAdditive white noise | ||
695 | _aAdditives | ||
695 | _aAircraft | ||
695 | _aAircraft navigation | ||
695 | _aAlgebra | ||
695 | _aAlgorithm design and analysis | ||
695 | _aApproximation algorithms | ||
695 | _aApproximation methods | ||
695 | _aArgon | ||
695 | _aArray signal processing | ||
695 | _aArrays | ||
695 | _aArtificial intelligence | ||
695 | _aAtmospheric measurements | ||
695 | _aAtmospheric modeling | ||
695 | _aAttenuation | ||
695 | _aBandwidth | ||
695 | _aBayesian methods | ||
695 | _aBibliographies | ||
695 | _aBiological system modeling | ||
695 | _aBismuth | ||
695 | _aBlind equalizers | ||
695 | _aBooks | ||
695 | _aCalibration | ||
695 | _aChannel estimation | ||
695 | _aChebyshev approximation | ||
695 | _aClassification algorithms | ||
695 | _aClutter | ||
695 | _aCoherence | ||
695 | _aColored noise | ||
695 | _aComputational modeling | ||
695 | _aContext | ||
695 | _aConvergence | ||
695 | _aConvolution | ||
695 | _aCoordinate measuring machines | ||
695 | _aCorrelation | ||
695 | _aCovariance matrix | ||
695 | _aCramer-Rao bounds | ||
695 | _aDeformable models | ||
695 | _aDelay | ||
695 | _aDelay effects | ||
695 | _aDelay estimation | ||
695 | _aDensity functional theory | ||
695 | _aDifferential equations | ||
695 | _aDiffusion processes | ||
695 | _aDigital signal processing | ||
695 | _aDirection of arrival estimation | ||
695 | _aDiscrete Fourier transforms | ||
695 | _aDistortion measurement | ||
695 | _aDoppler effect | ||
695 | _aDoppler radar | ||
695 | _aDynamic programming | ||
695 | _aEigenvalues and eigenfunctions | ||
695 | _aEllipsoids | ||
695 | _aEnergy resolution | ||
695 | _aEquations | ||
695 | _aError probability | ||
695 | _aEstimation | ||
695 | _aEstimation error | ||
695 | _aFading | ||
695 | _aFault tolerance | ||
695 | _aFault tolerant systems | ||
695 | _aFiltering | ||
695 | _aFiltering algorithms | ||
695 | _aFiltering theory | ||
695 | _aFinite difference methods | ||
695 | _aFinite element methods | ||
695 | _aFluids | ||
695 | _aFrequency estimation | ||
695 | _aFrequency modulation | ||
695 | _aFrequency synchronization | ||
695 | _aGaussian distribution | ||
695 | _aGeology | ||
695 | _aGeometry | ||
695 | _aGratings | ||
695 | _aHeuristic algorithms | ||
695 | _aHistory | ||
695 | _aIEEE Communications Society | ||
695 | _aIndexes | ||
695 | _aIndium tin oxide | ||
695 | _aInformation theory | ||
695 | _aJacobian matrices | ||
695 | _aJoints | ||
695 | _aKalman filters | ||
695 | _aKernel | ||
695 | _aLaboratories | ||
695 | _aLead | ||
695 | _aLeg | ||
695 | _aLength measurement | ||
695 | _aLimiting | ||
695 | _aLinear matrix inequalities | ||
695 | _aLinear systems | ||
695 | _aMIMO | ||
695 | _aMIMO radar | ||
695 | _aManganese | ||
695 | _aManifolds | ||
695 | _aMarkov processes | ||
695 | _aMatched filters | ||
695 | _aMathematical model | ||
695 | _aMatrices | ||
695 | _aMaximum likelihood detection | ||
695 | _aMaximum likelihood estimation | ||
695 | _aMean square error methods | ||
695 | _aMeasurement | ||
695 | _aMeasurement uncertainty | ||
695 | _aMobile communication | ||
695 | _aModulation | ||
695 | _aMonte Carlo methods | ||
695 | _aMultiaccess communication | ||
695 | _aMultistatic radar | ||
695 | _aMutual information | ||
695 | _aNarrowband | ||
695 | _aNavigation | ||
695 | _aNoise | ||
695 | _aNoise level | ||
695 | _aNoise measurement | ||
695 | _aNonlinear distortion | ||
695 | _aNonlinear dynamical systems | ||
695 | _aNonlinear filters | ||
695 | _aNonlinear optics | ||
695 | _aNonlinear systems | ||
695 | _aNull space | ||
695 | _aObservers | ||
695 | _aOceans | ||
695 | _aOptimal control | ||
695 | _aOptimization | ||
695 | _aParameter estimation | ||
695 | _aParticle filters | ||
695 | _aParticle measurements | ||
695 | _aPixel | ||
695 | _aPlanar arrays | ||
695 | _aPolynomials | ||
695 | _aPosition measurement | ||
695 | _aPrediction algorithms | ||
695 | _aProbabilistic logic | ||
695 | _aProbability density function | ||
700 | 1 | _aVan Trees, Harry L. | |
700 | 1 | _aBell, Kristine L. | |
710 | 2 |
_aJohn Wiley & Sons, _epublisher. |
|
710 | 2 |
_aIEEE Xplore (Online service), _edistributor. |
|
776 | 0 | 8 |
_iPrint version: _z9780470120958 |
856 | 4 | 2 |
_3Abstract with links to resource _uhttps://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=5263120 |
999 |
_c41989 _d41989 |