Lectures on Wiener and Kalman Filtering

Main
Engineering
Lectures on Wiener and Kalman Filtering

Lectures on Wiener and Kalman Filtering

T. Kailath (auth.)

0 / 0

Koliko vam se sviđa ova knjiga?

Kakav je kvalitet fajla?

Preuzmite knjigu radi procene kvaliteta

Kakav je kvalitet preuzetih fajlova?

Kategorije:

Godina:

1981

Izdanje:

2

Izdavač:

Springer-Verlag Wien

Jezik:

english

Strane:

187

ISBN 10:

3709128048

ISBN 13:

9783709128046

Serije:

International Centre for Mechanical Sciences 140

Fajl:

PDF, 11.37 MB

IPFS:

,

english, 1981

Čitati Online

Konvertovanje u je u toku

Konvertovanje u nije uspešno

Možda će vas zanimati

Ristic B. — Beyond the Kalman Filter. Particle Filters for Tracking Applications

Roger M. du Plessis — Poor Man’s Explanation of Kalman Filtering: Or how I stopped worrying and learned to love matrix inversion

Thomas Kailath, Ali H. Sayed, Babak Hassibi — Linear Estimation

Jerry M. Mendel — Lessons in Estimation Theory for Signal Processing, Communications, and Control (2nd Edition)

Thomas Kailath — Linear Systems

Brian D. O. Anderson, John B. Moore — Optimal Filtering

Mohinder S. Grewal, Angus P. Andrews(auth.) — Kalman Filtering: Theory and Practice Using MATLAB®, Third Edition

Bruce P. Gibbs — Advanced Kalman Filtering, Least-Squares and Modeling: A Practical Handbook

Robert Grover Brown, Patrick Y. C. Hwang — Introduction to Random Signals and Applied Kalman Filtering, Third Edition (Book only)

Eli Brookner — Tracking and Kalman Filtering Made Easy

Simon Haykin — Kalman filtering and neural networks

S. M. Bozic — Digital and Kalman Filtering: An Introduction to Discrete-Time Filtering and Optimum Linear Estimation, 2nd Edition

Alexander D. Poularikas, Zayed M. Ramadan — Adaptive Filtering Primer with MATLAB

Babak Hassibi, Ali H. Sayed, Thomas Kailath — Indefinite-quadratic estimation and control: a unified approach to Hp2s and H [infinity] theories

A. Paulraj, V. Roychowdhury, C. Schaper (auth.), Arogyaswami Paulraj, Vwani Roychowdhury, Charles D. Schaper (eds.) — Communications, Computation, Control, and Signal Processing: a tribute to Thomas Kailath

Kostas Triantafyllopoulos — Bayesian Inference of State Space Models: Kalman Filtering and Beyond

Charles K. Chui, Guanrong Chen (auth.) — Kalman Filtering: with Real-Time Applications

Geir Evensen — Data Assimilation: The Ensemble Kalman Filter

Charles K. Chui, Guanrong Chen (auth.) — Kalman Filtering: with Real-Time Applications

Kordic V. (ed.) — Kalman Filter

Hongbin Ma, Liping Yan, Yuanqing Xia, Mengyin Fu — Kalman Filtering and Information Fusion

MOHINDER S.GREWAL — KALMAN FILTERING THEORY AND PRACTICE USING MATLAB

Anderson B., Moore J — Optimal filtering

Hannan E.J., Krishnaiah P.R., Rao M.M. — Handbook of Statistics, Vol. 5. Time Series in the Time Domain

James V. Candy — Signal Processing The Model Based Approach

C.T. LEONDES (Eds.) — Nonlinear and Kalman Filtering Techniques, Part 3 of 3

Goodwin — Dynamic system identification. Experiment design and data analysis

Peter S. Maybeck — Stochastic models, estimation and control,

Thomas Kailath, Ali H. Sayed, Babak Hassibi — Linear estimation

Fred C. Schweppe — Uncertain Dynamic Systems

P. R. Krishnaiah — Handbook of Statistics 5: Time Series in the Time Domain

Mohinder S. Grewal, Angus P. Andrews — Kalman filtering: Theory and practice using MATLAB

Harry L. Van Trees — Detection, Estimation, and Modulation Theory, Part I

George M. Siouris — An Engineering Approach to Optimal Control and Estimation Theory

Robert Grover Brown, Patrick Y. C. Hwang — Introduction to Random Signals and Applied Kalman Filtering, 3rd Edition (Book only)

Harry L. Van Trees — Detection, Estimation, and Modulation Theory, Part I: Detection, Estimation, and Linear Modulation Theory

Mohinder S. Grewal, Angus P. Andrews — Kalman filtering: theory and practice using MATLAB

Monson H. Hayes — Statistical Digital Signal Processing and Modeling

Roger William Babcock; Raymond Walton; American Society of Civil Engineers.; Environmental and Water Resources Institute (U.S.) — World Environmental and Water Resources Congress 2008 : ahupuaʻa : May 12-16, 2008, Honolulu, Hawaii

Frank L. Lewis, Lihua Xie, Dan Popa — Optimal and robust estimation: with an introduction to stochastic control theory (Second Edition)

MOHINDER S. GREWAL ,ANGUS P. ANDREWS — Kalman Filtering Theory and Practice Using Matlab-Fourth edition

Anthony Zaknich PhD (auth.), Professor Michael J. Grimble, Professor Emeritus Michael A. Johnson (eds.) — Principles of Adaptive Filters and Self-learning Systems

Najčešći pojmovi