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...
| Main Authors: | , , |
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| Corporate Author: | |
| Format: | Electronic |
| Language: | English |
| Published: |
New York, NY :
Springer New York : Imprint: Springer,
2013.
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| Series: | SpringerBriefs in Mathematics,
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| Subjects: | |
| Online Access: | https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-1-4614-6292-7 |