Linear Estimation - Brossura

Kailath, Thomas; Sayed, Ali H.; Hassibi, Babak

Brossura

ISBN 10: 0130224642 ISBN 13: 9780130224644

Casa editrice: Pearson College Div, 2000

Riassunto

This original work offers the most comprehensive and up-to-date treatment of the important subject of optimal linear estimation, which is encountered in many areas of engineering such as communications, control, and signal processing, and also several other fields, e.g., econometrics and statistics. The book not only highlights the most significant contributions to this field during the 20th century, including the works of Weiner and Kalman, but it does so in an original and novel manner that paves the way for further developments in the new millennium. This book contains a large collection of problems that complement the text and are an important part of it, in addition to numerous sections that offer interesting historical accounts and insights.

Su questo libro

Dalla quarta di copertina

This original work offers the most comprehensive and up-to-date treatment of the important subject of optimal linear estimation, which is encountered in many areas of engineering such as communications, control, and signal processing, and also in several other fields, e.g., econometrics and statistics. The book not only highlights the most significant contributions to this field during the 20th century, including the works of Wiener and Kalman, but it does so in an original and novel manner that paves the way for further developments. This book contains a large collection of problems that complement it and are an important part of piece, in addition to numerous sections that offer interesting historical accounts and insights. The book also includes several results that appear in print for the first time.

FEATURES/BENEFITS

• Takes a geometric point of view.
• Emphasis on the numerically favored array forms of many algorithms.
• Emphasis on equivalence and duality concepts for the solution of several related problems in adaptive filtering, estimation, and control.
• These features are generally absent in most prior treatments, ostensibly on the grounds that they are too abstract and complicated. It is the authors' hope that these misconceptions will be dispelled by the presentation herein, and that the fundamental simplicity and power of these ideas will be more widely recognized and exploited. Among other things, these features already yielded new insights and new results for linear and nonlinear problems in areas such as adaptive filtering, quadratic control, and estimation, including the recent Hà theories.

Dettagli dell'edizione

• Editore: Pearson College Div
• Data di pubblicazione: 2000
• Lingua: Inglese
• ISBN 10: 0130224642
• ISBN 13: 9780130224644
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 854
• Contatto del produttore: non disponibile
• Persona responsabile: Pearson; riccardo.bacigalupo@sanoma.it; ; Sanoma Italia Via Arconati, 1 �; Milano; Italia