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System Identification Using Regular and Quantized Observations (Record no. 23211)

000 -LEADER
fixed length control field 02501nam a22004695i 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140310151449.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 130220s2013 xxu| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781461462927
978-1-4614-6292-7
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q295
Classification number QA402.3-402.37
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519
Edition number 23
264 #1 -
-- New York, NY :
-- Springer New York :
-- Imprint: Springer,
-- 2013.
912 ## -
-- ZDB-2-SMA
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name He, Qi.
Relator term author.
245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE
Title System Identification Using Regular and Quantized Observations
Medium [electronic resource] :
Remainder of title Applications of Large Deviations Principles /
Statement of responsibility, etc by Qi He, Le Yi Wang, G. George Yin.
300 ## - PHYSICAL DESCRIPTION
Extent XII, 95 p. 17 illus., 16 illus. in color.
Other physical details online resource.
440 1# - SERIES STATEMENT/ADDED ENTRY--TITLE
Title SpringerBriefs in Mathematics,
International Standard Serial Number 2191-8198
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Introduction and Overview.- System Identification: Formulation.- Large Deviations: An Introduction.- LDP under I.I.D. Noises.- LDP under Mixing Noises.- Applications to Battery Diagnosis.- Applications to Medical Signal Processing.-Applications to Electric Machines -- Remarks and Conclusion -- References -- Index.
520 ## - SUMMARY, ETC.
Summary, etc 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.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mathematics.
Topical term or geographic name as entry element Systems theory.
Topical term or geographic name as entry element Distribution (Probability theory).
Topical term or geographic name as entry element Mathematics.
Topical term or geographic name as entry element Systems Theory, Control.
Topical term or geographic name as entry element Control.
Topical term or geographic name as entry element Probability Theory and Stochastic Processes.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Wang, Le Yi.
Relator term author.
Personal name Yin, G. George.
Relator term author.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9781461462910
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-1-4614-6292-7
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type E-Book
Copies
Price effective from Permanent location Date last seen Not for loan Date acquired Source of classification or shelving scheme Koha item type Damaged status Lost status Withdrawn status Current location Full call number
2014-04-09AUM Main Library2014-04-09 2014-04-09 E-Book   AUM Main Library519
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