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

Qi He, George G. Yin, Le Yi Wang

ISBN 10: 1461462916 / ISBN 13: 9781461462910

Published by Springer New York, 2013

About this Item

Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | ¿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.

Seller Inventory # 23129077/12

Bibliographic Details

• Title: System Identification Using Regular and Quantized Observations : Applications of Large Deviations Principles
• Publisher: Springer New York
• Publication Date: 2013
• Language: English
• ISBN 10: 1461462916
• ISBN 13: 9781461462910
• Binding: Soft cover
• Condition: Sehr gut
• Seller catalogs:
  • Bücher

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.