Cargando…

Introduction to random signals and applied kalman filtering: with MATLAB exercises and solutions

Mostrar otras versiones (1)

Detalles Bibliográficos
Autores principales:	Brown, Robert Grover, Hwang, Patrick Y C
Lenguaje:	eng
Publicado:	Wiley 1997
Materias:	Engineering
Acceso en línea:	http://cds.cern.ch/record/680442

Ejemplares similares

Introduction to random signals and applied Kalman filtering: with MATLAB exercises
por: Brown, Robert Grover, et al.
Publicado: (2012)

Introduction to random signals and applied Kalman filtering : with MATLAB exercises and solutions
por: Brown, Robert Grover
Publicado: (1997)

Kalman filtering: theory and practice with MATLAB
por: Grewal, M
Publicado: (2015)

Kalman filtering: theory and practice using MATLAB
por: Grewal, Mohinder S, et al.
Publicado: (2008)

Robust Kalman filtering for signals and systems with large uncertainties
por: Petersen, Ian R, et al.
Publicado: (1999)

Kalman filtering: theory and application
por: Sorenson, Harold Wayne
Publicado: (1985)

Filter design for signal processing using MATLAB and Mathematica
por: Lutovac, Miroslav D, et al.
Publicado: (2002)

Kalman filtering techniques for radar tracking
por: Ramachandra, K V
Publicado: (2000)

Kalman filtering with real-time applications
por: Chui, Charles K, et al.
Publicado: (1987)

Estimation, control, and the discrete Kalman filter
por: Catlin, Donald E
Publicado: (1989)

Tracking and Kalman filtering made easy
por: Brookner, Eli
Publicado: (1998)

Understanding digital signal processing with Matlab and solutions
por: Poularikas, Alexander D
Publicado: (2017)

Digital filters: principles and applications with MATLAB
por: Taylor, Fred J
Publicado: (2012)

Applied signal processing: a MATLAB based proof of concept
por: Dutoit, Thierry, et al.
Publicado: (2009)

Kalman filtering : theory and practice using MATLAB /
por: Grewal, Mohinder S.
Publicado: (2001)

Structure from Motion using the Extended Kalman Filter
por: Civera, Javier, et al.
Publicado: (2012)

Random signals and processes primer with MATLAB
por: Dolecek, Gordana Jovanovic
Publicado: (2013)

Discrete-Time High Order Neural Control: Trained with Kalman Filtering
por: Sanchez, Edgar N, et al.
Publicado: (2008)

Introduction to numerical electrostatics using MATLAB
por: Dworsky, Lawrence N
Publicado: (2014)

Coding Prony’s method in MATLAB and applying it to biomedical signal filtering
por: Fernández Rodríguez, A., et al.
Publicado: (2018)

Proper generalized decompositions: an introduction to computer implementation with Matlab
por: Cueto, Elías, et al.
Publicado: (2016)

Use of Extended Kalman Filter in position sensor fault detection for stepper motors
por: Picatoste, Ricardo, et al.
Publicado: (2016)

MATLAB algorithm to implement soil water data assimilation with the Ensemble Kalman Filter using HYDRUS
por: Valdes-Abellan, Javier, et al.
Publicado: (2018)

Signals and systems using Matlab
por: Chaparro, Luis
Publicado: (2014)

Signals and systems primer with Matlab
por: Poularikas, Alexander D
Publicado: (2006)

Introduction to digital signal processing and filter design
por: Shenoi, B A
Publicado: (2005)

Fundamentals of bioinformatics and computational biology: methods and exercises in matlab
por: Singh, Gautam B
Publicado: (2015)

Introduction to applied statistical signal analysis
por: Shiavi, Richards
Publicado: (1999)

Digital and Kalman filtering: an introduction to discrete-time filtering and optimum linear estimation
por: Bozic, Svetozar Mile
Publicado: (1979)

Digital and Kalman filtering: an introduction to discrete-time filtering and optimum linear estimation
por: Bozic, S M
Publicado: (1994)

Digital signal processing with Matlab examples
por: Giron-Sierra, Jose Maria
Publicado: (2017)

Signals and systems with MATLAB and Simulink modeling
por: Karis, Steven, T
Publicado: (2008)

Signal and linear system analysis: with MATLAB
por: Carlson, Gordon E
Publicado: (1998)

Digital signal processing: with examples in MATLAB
por: Stearns, Samuel D
Publicado: (2003)

Digital signal processing using MATLAB
por: Ingle, Vinay K, et al.
Publicado: (2000)

Signals and systems: a primer with Matlab
por: Sadiku, Matthew N O, et al.
Publicado: (2015)

Online damage detection in structural systems: applications of proper orthogonal decomposition, and Kalman and particle filters
por: Eftekhar Azam, Saeed
Publicado: (2014)

A Study about Kalman Filters Applied to Embedded Sensors
por: Valade, Aurélien, et al.
Publicado: (2017)

Introduction to digital filtering
por: Constantinides, A G, et al.
Publicado: (1975)

Introduction to digital filters
por: Terrell, Trevor J
Publicado: (1980)

Cannot write session to /tmp/vufind_sessions/sess_cavb7astkgarrgv428rql3q5n5