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: | , , |
---|---|
Corporate Author: | |
Format: | Electronic eBook |
Language: | English |
Published: |
New York, NY :
Springer New York : Imprint: Springer,
2013.
|
Series: | SpringerBriefs in Mathematics,
|
Subjects: | |
Online Access: | Full Text via HEAL-Link |
Internet
Full Text via HEAL-LinkΒΚΠ - Πατρα: ALFd
Call Number: |
330.01 BAU |
---|---|
Copy 1 | Available |
ΒΚΠ - Πατρα: BSC
Call Number: |
330.01 BAU |
---|---|
Copy 2 | Available |
Copy 3 | Available |