I purchased this book primarily to gain some basic understanding of kalman filtering, but have found the book so interesting and engaging that I have taken the time to rewrite the code to pascal and run the examples etc, as presented in the book. Being a systems engineer by education, but not by profession, the approach used in the book allowed me to apply some of my previous but unused training very efficiently.
This book builds up the concepts needed to understand Kalman filtering from very basic ideas like least squares, and tries to keep things grounded in practical examples. It is, as advertised, the practical approach, totally unpretentious, and clearly written.
Paul McFedries
Paul Allor
Paul Witcover
Paul Sterry
Paul Ham
Paul Carrick
Paul Antonio
Alan Paul
Paul Murdin
Paul Middleton
Paul Kupperberg
Paul Gilbert
Paul Palmer
Paul McAuley
Paul Gover
Edwards, Paul
Paul Garson
Paul Mellars
Paul Delany
Paul Palmer
Paul McNally
Paul Edmonson
Paul Rees
Paul Thurlby
Paul Rockett
Paul Mason
Paul Mason
Paul Thurlby
Paul Thurlby
Paul Barnes
Paul Reizin
Thomas Paul Thesen
Paul Binding
Paul Mosley
Paul Gorman
Paul Doherty
Paul Giles
Paul Barnes
Thomas Paul Thesen
Thomas Paul Thesen
Paul Giles
William Paul Young
Paul Doherty
Paul Doherty
Manoranjan Paul
Paul Mosley
Paul Reizin
Paul Douglass
Paul Gay
Paul Mosley
Manoranjan Paul
Netser Moriyah
Joaquín M. Gomez
Kalman Farber
Edgar N. Sanchez
Mohinder S. Grewal
Kálmán Nagy
Kálmán Bogdán
Kevin Clarke
Ḳalman Polgar
János Bereczky
I. N. Sinit︠s︡yn
Bert-Uwe Köhler
Winnie Suk Wai Leung
Lakhdar Aggoun
Elaine Kalman Naves
Steffen L. Lauritzen
Torsten Söderström
Simon Haykin
Mohinder S Grewal
Robert Grover Brown
Sértő, Kálmán
Curt Wells
Kalman Jacob Mann
Guan Rong Chen
Mohinder S. Grewal
Kalman Kahana
Robert Grover Brown
Rejtő, István.
Oskar W. Márquez F.
Dennis K. J. Lin
Praznovszky, Mihály.
Jeffrey E. Bauer
Genie Lubowski de Spiess
Anderle, Ádám.