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System Identification Using Regular and Quantized Observations

Applications of Large Deviations Principles

Language EnglishEnglish
Book Paperback
Book System Identification Using Regular and Quantized Observations Qi He
Libristo code: 01428526
Publishers Springer, Berlin, November 2012
This brief presents characterizations of identification errors under a probabilistic framework when... Full description
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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.

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About the book

Full name System Identification Using Regular and Quantized Observations
Author Qi He, Le Yi Wang, G. George Yin
Language English
Binding Book - Paperback
Date of issue 2013
Number of pages 95
EAN 9781461462910
ISBN 1461462916
Libristo code 01428526
Publishers Springer, Berlin
Weight 182
Dimensions 156 x 236 x 7

Categories

Reference, Information & Interdisciplinary subjects > Research & information: general > Information theory > Cybernetics & systems theory
Mathematics & Science > Mathematics > Applied mathematics > Stochastics
Technology, Engineering, Agriculture > Electronics & communications engineering > Electronics engineering > Automatic control engineering
Mathematics & Science > Mathematics > Probability & statistics
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