Multi-Sensor Filtering Fusion with Censored Data Under a Constrained Network Environment - Image 1

£53.36

CRC Press Multi-Sensor Filtering Fusion with Censored Data Under a Constrained Network Environment

Name: Multi-Sensor Filtering Fusion with Censored Data Under a Constrained Network Environment
Brand: CRC Press
Price: 53.36 GBP
Availability: InStock

Networking & Security

About as cheap as it gets. The only time it was cheaper was 2 months ago.

£53 today · all-time low £53 (Jul 2026) · usually £54

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Description

This book presents the up-to-date research developments and novel methodologies on multi-sensor filtering fusion (MSFF) for a class of complex systems subject to censored data under a constrained network environment. The contents of this book are divided into two parts covering centralized and distributed MSFF design methodologies. The work provides a framework of optimal centralized/distributed filter design and stability and performance analysis for the considered systems along with designed filters. Simulations presented in this book are implemented using MATLAB. Features: Includes concepts, backgrounds and models on censored data, filtering fusion and communication constraints. Reviews case studies to provide clear engineering insights into the developed fusion theories and techniques. Provides theoretic values and engineering insights of the censored data and constrained network. Discusses performance evaluation of the presented multi-sensor fusion algorithms. Explores promising research directions on future multi-sensor fusion. This book is aimed at graduate students and researchers in networked control, sensor networks, and data fusion.

Product Specifications

Brand: CRC Press
Format: paperback
ASIN: 1032610255
Category: Books > Subjects > Computing & Internet > Networking & Security
Domain: Amazon UK
Release Date: 20 July 2026
Listed Since: 27 May 2026

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CRC Press Multi-Sensor Filtering Fusion with Censored Data Under a Constrained Network Environment

About as cheap as it gets. The only time it was cheaper was 2 months ago.

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