Name: Theory and Principles of Smoothing, Filtering and Prediction (en Inglés)
Price: 448.41 PEN
Availability: InStock
Author: Eanes, Graham
ISBN: 9781632384508

portada Theory and Principles of Smoothing, Filtering and Prediction (en Inglés)

Formato

Libro Físico

Ilustrado por

Graham Eanes

Editorial

NY Research Press

Autor

Eanes, Graham

Año

2015

Idioma

Inglés

N° páginas

282

Encuadernación

Tapa Dura

Dimensiones

22.9 x 15.2 x 1.8 cm

Peso

0.54 kg.

ISBN13

9781632384508

Categorías

Tecnología de la información: cuestiones generales

Theory and Principles of Smoothing, Filtering and Prediction (en Inglés)

Graham Eanes (Ilustrado por) · NY Research Press · Tapa Dura

Libro Nuevo

S/ 448,41

S/ 896,81

Ahorras: S/ 448,41

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Origen: Estados Unidos (Costos de importación incluídos en el precio)

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Reseña del libro "Theory and Principles of Smoothing, Filtering and Prediction (en Inglés)"

A descriptive account based on the theory as well as principles of smoothing, filtering and prediction techniques has been presented in this book. It aims to provide understanding of classical filtering, prediction techniques and smoothing techniques along with newly developed embellishments for enhancing performance in applications. It describes the domain in a vivid manner for the purpose of serving as a valuable guide for students as well as experts. It extensively discusses minimum-mean-square-error solution construction and asymptotic behavior, continuous-time and discrete-time minimum-variance filtering, minimum-variance filtering results for steady-state problems and continuous-time and discrete-time smoothing. It further elaborates on robust techniques that accommodate uncertainties within problem specifications, parameter estimation, applications of Riccati equations, etc. These afore-mentioned linear techniques have been applied to various nonlinear estimation problems towards the end of the book. Although they have a risk of assurance of optical performance, these mentioned linearizations can be employed in predictors, filters and smoothers. The book serves the objective of imparting practical knowledge amongst students interested in this field.