Qi He,
Le Yi Wang,
George G. Yin
System Identification Using Regular and Quantized Observations
Applications of Large Deviations Principles
Paperback Engels 2013 2013e druk 9781461462910
Verwachte levertijd ongeveer 9 werkdagen
Samenvatting
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.
Specificaties
ISBN13:9781461462910
Taal:Engels
Bindwijze:paperback
Aantal pagina's:95
Uitgever:Springer New York
Druk:2013
Hoofdrubriek:Automatisering algemeen, Computer en informatica
Lezersrecensies
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Inhoudsopgave
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
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