Explore
Linear Estimation in Interconnected Sensor Systems with Information Constraints
Reinhardt, Marc
2015
0 Ungluers have
Faved this Work
Login to Fave
A ubiquitous challenge in many technical applications is to estimate an unknown state by means of data that stems from several, often heterogeneous sensor sources. In this book, information is interpreted stochastically, and techniques for the distributed processing of data are derived that minimize the error of estimates about the unknown state. Methods for the reconstruction of dependencies are proposed and novel approaches for the distributed processing of noisy data are developed.
This book is included in DOAB.
Why read this book? Have your say.
You must be logged in to comment.
Rights Information
Are you the author or publisher of this work? If so, you can claim it as yours by registering as an Unglue.it rights holder.Downloads
This work has been downloaded 52 times via unglue.it ebook links.
- 52 - pdf (CC BY-SA) at Unglue.it.
Keywords
- Datenfusion
- distributed systems
- Estimation theory
- Kalman filter
- Kalman filtering
- Schätztheorie
- Sensor networks
- Sensornetze
- Verteilte SystemsData fusion
Links
DOI: 10.5445/KSP/1000045577Editions