System Identification Using Regular and Quantized Observations: Applications of Large Deviations Principles

He, Qi/ Wang, Le Yi/ Yin, G. George

ISBN 10: 1461462916 / ISBN 13: 9781461462910

Published by Springer Verlag, 2013

About this Item

95 pages. 9.25x6.25x0.25 inches. In Stock.

Seller Inventory # zk1461462916

Bibliographic Details

• Title: System Identification Using Regular and Quantized Observations: Applications of Large Deviations Principles
• Publisher: Springer Verlag
• Publication Date: 2013
• Language: English
• ISBN 10: 1461462916
• ISBN 13: 9781461462910
• Binding: Paperback
• Condition: Brand New
• Weight: 0.18 kilograms

About this title

Synopsis

​This brief presents characterizations of identification errors under a probabilistic framework when output sensors are binary, quantized, or regular.  By considering both space complexity in terms of signal quantization and time complexity with respect to data window sizes, this study provides a new perspective to understand the fundamental relationship between probabilistic errors and resources, which may represent data sizes in computer usage, computational complexity in algorithms, sample sizes in statistical analysis and channel bandwidths in communications.