System Identification Using Regular and Quantized Observations Applications of Large Deviations Principles /
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...
Κύριοι συγγραφείς: | He, Qi (Συγγραφέας), Wang, Le Yi (Συγγραφέας), Yin, G. George (Συγγραφέας) |
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Συγγραφή απο Οργανισμό/Αρχή: | SpringerLink (Online service) |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
New York, NY :
Springer New York : Imprint: Springer,
2013.
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Σειρά: | SpringerBriefs in Mathematics,
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Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
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