Name: Data Fusion: Concepts and Ideas: Concepts and Ideas: (en Inglés)
Price: 124840.00 CLP
Availability: InStock
Author: H B Mitchell
ISBN: 9783642437304

portada Data Fusion: Concepts and Ideas: Concepts and Ideas: (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

H B Mitchell

Año

2014

Idioma

Inglés

N° páginas

346

Encuadernación

Tapa Blanda

ISBN13

9783642437304

N° edición

Categorías

Inteligencia artificial

Data Fusion: Concepts and Ideas: Concepts and Ideas: (en Inglés)

H B Mitchell (Autor) · Springer · Tapa Blanda

Libro Nuevo

$ 124.840

$ 249.670

Ahorras: $ 124.830

50% descuento

Envío normal

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

Se enviará desde nuestra bodega entre el Lunes 03 de Junio y el Jueves 13 de Junio.

Lo recibirás en cualquier lugar de Chile entre 1 y 3 días hábiles luego del envío.

Reseña del libro "Data Fusion: Concepts and Ideas: Concepts and Ideas: (en Inglés)"

This textbook provides a comprehensive introduction to the concepts and idea of multisensor data fusion. It is an extensively revised second edition of the author's successful book: "Multi-Sensor Data Fusion: An Introduction" which was originally published by Springer-Verlag in 2007. The main changes in the new book are: New Material: Apart from one new chapter there are approximately 30 new sections, 50 new examples and 100 new references. At the same time, material which is out-of-date has been eliminated and the remaining text has been rewritten for added clarity. Altogether, the new book is nearly 70 pages longer than the original book. Matlab code: Where appropriate we have given details of Matlab code which may be downloaded from the worldwide web. In a few places, where such code is not readily available, we have included Matlab code in the body of the text. Layout. The layout and typography has been revised. Examples and Matlab code now appear on a gray background for easy identification and advancd material is marked with an asterisk. The book is intended to be self-contained. No previous knowledge of multi-sensor data fusion is assumed, although some familarity with the basic tools of linear algebra, calculus and simple probability is recommended. Although conceptually simple, the study of mult-sensor data fusion presents challenges that are unique within the education of the electrical engineer or computer scientist. To become competent in the field the student must become familiar with tools taken from a wide range of diverse subjects including: neural networks, signal processing, statistical estimation, tracking algorithms, computer vision and control theory. All too often, the student views multi-sensor data fusion as a miscellaneous assortment of different processes which bear no relationship to each other. In contrast, in this book the processes are unified by using a common statistical framework. As a consequence, the underlying pattern of relationships that exists between the different methodologies is made evident. The book is illustrated with many real-life examples taken from a diverse range of applications and contains an extensive list of modern references.