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

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...

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Bibliographic Details
Main Authors: He, Qi (Author), Wang, Le Yi (Author), Yin, G. George (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: New York, NY : Springer New York : Imprint: Springer, 2013.
Series:SpringerBriefs in Mathematics,
Subjects:
Online Access:Full Text via HEAL-Link
Table of Contents:
  • Introduction and Overview.- System Identification: Formulation.- Large Deviations: An Introduction.- LDP under I.I.D. Noises.- LDP under Mixing Noises.- Applications to Battery Diagnosis.- Applications to Medical Signal Processing.-Applications to Electric Machines
  • Remarks and Conclusion
  • References
  • Index.