Noch Fragen? 0800 / 33 82 637

System Identification Using Regular and Quantized Observations

Applications of Large Deviations Principles

Produktform: Buch / Einband - flex.(Paperback)

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.weiterlesen

Dieser Artikel gehört zu den folgenden Serien

Sprache(n): Englisch

ISBN: 978-1-4614-6291-0 / 978-1461462910 / 9781461462910

Verlag: Springer US

Erscheinungsdatum: 08.02.2013

Seiten: 95

Auflage: 1

Zielgruppe: Research

Autor(en): Le Yi Wang, Qi He, George G. Yin

53,49 € inkl. MwSt.
kostenloser Versand

lieferbar - Lieferzeit 10-15 Werktage

zurück