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

Libro 17 di 155: SpringerBriefs in Mathematics

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

 
9781461462910: System Identification Using Regular and Quantized Observations: Applications of Large Deviations Principles

Sinossi

?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.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Contenuti

​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

Product Description

Rare Book

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Altre edizioni note dello stesso titolo

9781461462934: System Identification Using Regular and Quantized Observations: Applications of Large Deviations Principles

Edizione in evidenza

ISBN 10:  1461462932 ISBN 13:  9781461462934
Casa editrice: Springer, 2013
Brossura