System identification using regular and quantized observations
General Material Designation
[Book]
Other Title Information
applications of large deviations principles /
First Statement of Responsibility
Qi He, Le Yi Wang, G. George Yin
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
Dordrecht :
Name of Publisher, Distributor, etc.
Springer,
Date of Publication, Distribution, etc.
2013
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
1 online resource (99 p.)
SERIES
Series Title
SpringerBriefs in Mathematics
SUMMARY OR ABSTRACT
Text of Note
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
OTHER EDITION IN ANOTHER MEDIUM
Title
System Identification Using Regular and Quantized Observations : Applications of Large Deviations Principles
International Standard Book Number
9781461462910
PIECE
Title
OhioLINK electronic book center (Online)
Title
SpringerLink
TOPICAL NAME USED AS SUBJECT
Signal processing-- Digital techniques-- Mathematics