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portada system identification using regular and quantized observations: applications of large deviations principles
Type
Physical Book
Author
Publisher
Year
2013
Language
English
Pages
95
Format
Paperback
Dimensions
23.4 x 15.6 x 0.6 cm
Weight
0.16 kg.
ISBN
1461462916
ISBN13
9781461462910
Categories

system identification using regular and quantized observations: applications of large deviations principles

Qi He (Author) · Le Yi Wang (Author) · George G. Yin (Author) · Springer · Paperback

system identification using regular and quantized observations: applications of large deviations principles - He, Qi ; Wang, Le Yi ; Yin, George G.

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Synopsis "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 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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