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Linear Estimation by Thomas Kailath, Ali H. Sayed and Babak Hassibi (2000, Hardcover)

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About this product

Product Identifiers

PublisherPrentice Hall PTR

ISBN-100130224642

ISBN-139780130224644

eBay Product ID (ePID)1758425

Product Key Features

Number of Pages880 Pages

LanguageEnglish

Publication NameLinear Estimation

SubjectProbability & Statistics / Stochastic Processes, Probability & Statistics / General, Electrical

Publication Year2000

TypeTextbook

Subject AreaMathematics, Technology & Engineering

AuthorThomas Kailath, Ali H. Sayed, Babak Hassibi

FormatHardcover

Dimensions

Item Height1.4 in

Item Weight50.2 Oz

Item Length9.5 in

Item Width7.3 in

Additional Product Features

Intended AudienceCollege Audience

LCCN99-047033

Dewey Edition21

IllustratedYes

Dewey Decimal519.5/44

SynopsisThis textbook is intended for a graduate-level course and assumes familiarity with basic concepts from matrix theory, linear algebra, and linear system theory. Six appendices at the end of the book provide the reader with enough background and review material in all these areas. 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 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. The book also includes several results that appear in print for the first time., 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.

LC Classification NumberQA276.8.K33 2000