Viac informácií o knihe Introduction to Optimal Estimation

• Parametre knihy
• Anotácia kniha
• Obľúbené z iného súdka

Nákupom získate 175 bodov

Anotácia knihy

This book provides an introductory, yet comprehensive, treatment of both Wiener and Kalman filtering along with a development of least-squares estimation, maximum likelihood estimation, and maximum a posteriori estimation based on discrete-time measurements. Although this is a fairly broad range of estimation techniques, it is possible to cover all of them in some depth in a single textbook, which is what is attempted here. Emphasis is also placed on showing how these different approaches to estimation fit together to form a systematic development of optimal estimation. MATLAB is used in the development of a number of the book's examples and required for many of the homework problems.

Parametre knihy

• Celý názov: Introduction to Optimal Estimation
• Autor: Edward E. Kamen, Jonathan R. Su
• Jazyk: Angličtina
• Väzba: Brožovaná
• Počet strán: 380
• EAN: 9781852331337
• ISBN: 185233133X
• ID: 06798558
• Nakladateľ: Springer, Berlin
• Hmotnosť: 592 g
• Rozmery: 235 × 155 × 21 mm
• Dátum vydania: 20. August 2001

Obľúbené z iného súdka

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