System Identification Using Regular and Quantized Observations (e-bok)
Format
E-bok
Filformat
PDF med Adobe-kryptering
Om Adobe-kryptering
PDF-böcker lämpar sig inte för läsning på små skärmar, t ex mobiler.
Nedladdning
Kan laddas ned under 24 månader, dock max 3 gånger.
Språk
Engelska
Utgivningsdatum
2013-02-11
Förlag
Springer New York
ISBN
9781461462927
System Identification Using Regular and Quantized Observations (e-bok)

System Identification Using Regular and Quantized Observations (e-bok)

Applications of Large Deviations Principles

E-bok (PDF - DRM), Engelska, 2013-02-11
619
Laddas ned direkt
Läs i vår app för iPhone, iPad och Android
Finns även som
Visa alla 1 format & utgåvor
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.
Visa hela texten

Kundrecensioner

Har du läst boken? Sätt ditt betyg »

Bloggat om System Identification Using Regular and Q...