Ebook Kalman Filtering: Theory and Practice, by Mohinder S. Grewal, Angus P. Andrews
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Kalman Filtering: Theory and Practice, by Mohinder S. Grewal, Angus P. Andrews
Ebook Kalman Filtering: Theory and Practice, by Mohinder S. Grewal, Angus P. Andrews
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A thorough exploration of the theory and application of Kalman filtering to real-world situations. *book contains a floppy disk with C++ and MATLAB algorithms. *offers a heuristic treatment of essential material. *includes many often ignored design and implementation techniques. *explores the appropriate numerical methods for reliable implementation. *contains a variety of examples and problems taken from real-world application situations - e.g., modelling of gyros, accelerometers, inertial navigation; freeway traffic model; a harmonic oscillator; radar tracking; Global Positioning System (GPS) aided Inertial Navigation System (INS). *includes companion software to solve large dimension problems in the text.
- Sales Rank: #1671511 in Books
- Published on: 1993-02-23
- Original language: English
- Number of items: 1
- Dimensions: 1.19" h x 7.21" w x 9.30" l,
- Binding: Hardcover
- 368 pages
Review
'This perceptive and often witty book is a challenge to the new generation of Ireland's medieval archaeologists and historians, for the answers to the many problems Tom McNeill poses lie still in the ground, or in the standing fabric of Ireland's 3,000 or so castles, awaiting the spade or the enquiring eye.' - Times Literary Supplement
'A meticulously researched and scholarly combination of archaeological investigation and interpretation of the wider socio-political context of the construction of castles and the purposes to which they were put.' - Republican News
'Castles in Ireland is the most careful and scholarly book to be written on castles for a generation. As such, it is a major step forward for castle studies.' - Antiquity
'Informed readers will be stimulated by this book and the less knowledgeable will find much to interest and surprise them. A most commendable and comprehensive study.' - Transactions of the Ancient Monument Society
'Stimulating and readable. It sets out the particular nature of Irish castelology with clarity, and, in the process, explains the nature of medieval Irish Power bases and networks the book is handsomely produced. It will be the standard work for many years to come.' - Archaeological Journal
From the Publisher
A thorough exploration of the theory and application of Kalman filtering to real-world situations.
About the Author
Dr Thomas McNeill took his doctorate in archaeology at Queen's University, Belfast, where he is currently Lecturer in Medieval Archaeology. He is the author of The English Heritage Book of Castles and The Archaeology of Ulster (with J. P. Mallory).
Most helpful customer reviews
0 of 0 people found the following review helpful.
How are the reviews for kalman filtering applicable to Castles in Ireland?
By Privacy, Please
I think there is an error in the Amazon site, which is showing reviews for a book on Kalman filtering instead of reviews of "Castles in Ireland."
1 of 2 people found the following review helpful.
Comprehensive book on the real castles of Ireland
By Evelyn M. Wallace
Many books exist that are titled as being the castles of Ireland and in reality are coffee table books on the rebuilt banquet venues on scant castle remains or grand manor homes. While those have their place, this book remains on the subject and with complete authority on castles~ despite the opening disclosure of the author. McNeill has done his homework with prodigious diagrams throughout. Heartily and highly recommended by The Castle Lady !
8 of 14 people found the following review helpful.
Much too terse.
By A Customer
The authors use non-traditional symbolism and do not always define symbols used. For example,
what is wring with the way Papoulis and Peebles define various statistical operators?
Changing what is so widely accepted does not make your presentation better. It just takes
longer to understand background subject matter and introduces unnecessary confusion into your final
topic - Kalman filters.
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