System Identification Using Regular and Quantized Observations: Applications of Large Deviations Principles (SpringerBriefs in Mathematics) - Softcover

Buch 17 von 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 (SpringerBriefs in Mathematics)
Softcover
ISBN 10: 1461462916 ISBN 13: 9781461462910
Verlag: Springer, 2013

Inhaltsangabe

​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.

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Verlag
Springer
Erscheinungsdatum
2013
Sprache
Englisch
ISBN 10 
1461462916
ISBN 13 
9781461462910
Einband
Taschenbuch
Anzahl der Seiten
108
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Deutschland

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

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ISBN 10:  1461462932 ISBN 13:  9781461462934
Verlag: Springer, 2013
Softcover