Bayesian bounds for parameter estimation and nonlinear filtering / tracking / edited by Harry L. van Trees and Kristine L. Bell.
Material type:
TextPublisher: Piscataway, New Jersey : IEEE Press, c2007Distributor: [Piscataqay, New Jersey] : IEEE Xplore, [2007]Description: 1 PDF (xvi, 951 pages) : illustrationsContent type: - text
- electronic
- online resource
- 9780470544198
- Bayesian statistical decision theory
- Parameter estimation
- Filters (Mathematics)
- Nonlinear theories
- Pulse modulation
- Radar
- Radar tracking
- Random processes
- Random variables
- Rate distortion theory
- Rate-distortion
- Receivers
- Reflection
- Refractive index
- Research and development
- Sea measurements
- Sea surface
- Sections
- Sensor arrays
- Sensors
- Shape
- Signal design
- Signal processing
- Signal resolution
- Signal to noise ratio
- Silicon carbide
- Smoothing methods
- Sonar
- Sonar equipment
- Special issues and sections
- Speech processing
- Stochastic processes
- Stochastic systems
- Sufficient conditions
- Switches
- Symmetric matrices
- Synchronization
- System-on-a-chip
- Target tracking
- Terrain mapping
- Time frequency analysis
- Time measurement
- Training
- Trajectory
- Transforms
- Transmitters
- USA Councils
- Uncertainty
- Upper bound
- Vectors
- Voltage control
- Volume measurement
- Weight measurement
- White noise
- Wiener filter
- Yttrium
- Zinc
- AWGN
- Accuracy
- Additive white noise
- Additives
- Aircraft
- Aircraft navigation
- Algebra
- Algorithm design and analysis
- Approximation algorithms
- Approximation methods
- Argon
- Array signal processing
- Arrays
- Artificial intelligence
- Atmospheric measurements
- Atmospheric modeling
- Attenuation
- Bandwidth
- Bayesian methods
- Bibliographies
- Biological system modeling
- Bismuth
- Blind equalizers
- Books
- Calibration
- Channel estimation
- Chebyshev approximation
- Classification algorithms
- Clutter
- Coherence
- Colored noise
- Computational modeling
- Context
- Convergence
- Convolution
- Coordinate measuring machines
- Correlation
- Covariance matrix
- Cramer-Rao bounds
- Deformable models
- Delay
- Delay effects
- Delay estimation
- Density functional theory
- Differential equations
- Diffusion processes
- Digital signal processing
- Direction of arrival estimation
- Discrete Fourier transforms
- Distortion measurement
- Doppler effect
- Doppler radar
- Dynamic programming
- Eigenvalues and eigenfunctions
- Ellipsoids
- Energy resolution
- Equations
- Error probability
- Estimation
- Estimation error
- Fading
- Fault tolerance
- Fault tolerant systems
- Filtering
- Filtering algorithms
- Filtering theory
- Finite difference methods
- Finite element methods
- Fluids
- Frequency estimation
- Frequency modulation
- Frequency synchronization
- Gaussian distribution
- Geology
- Geometry
- Gratings
- Heuristic algorithms
- History
- IEEE Communications Society
- Indexes
- Indium tin oxide
- Information theory
- Jacobian matrices
- Joints
- Kalman filters
- Kernel
- Laboratories
- Lead
- Leg
- Length measurement
- Limiting
- Linear matrix inequalities
- Linear systems
- MIMO
- MIMO radar
- Manganese
- Manifolds
- Markov processes
- Matched filters
- Mathematical model
- Matrices
- Maximum likelihood detection
- Maximum likelihood estimation
- Mean square error methods
- Measurement
- Measurement uncertainty
- Mobile communication
- Modulation
- Monte Carlo methods
- Multiaccess communication
- Multistatic radar
- Mutual information
- Narrowband
- Navigation
- Noise
- Noise level
- Noise measurement
- Nonlinear distortion
- Nonlinear dynamical systems
- Nonlinear filters
- Nonlinear optics
- Nonlinear systems
- Null space
- Observers
- Oceans
- Optimal control
- Optimization
- Parameter estimation
- Particle filters
- Particle measurements
- Pixel
- Planar arrays
- Polynomials
- Position measurement
- Prediction algorithms
- Probabilistic logic
- Probability density function
- 620.001519542
Includes bibliographical references and index.
Bayesian 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.
Restricted to subscribers or individual electronic text purchasers.
Bayesian 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.
Also available in print.
Mode of access: World Wide Web
Description based on PDF viewed 12/21/2015.
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