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" System identification using regular and quantized observations "
Qi He, Le Yi Wang, G. George Yin
Document Type
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BL
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Record Number
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644066
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Doc. No
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dltt
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Main Entry
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He, Qi
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Title & Author
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System identification using regular and quantized observations : applications of large deviations principles /\ Qi He, Le Yi Wang, G. George Yin
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Publication Statement
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Dordrecht :: Springer,, 2013
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Series Statement
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SpringerBriefs in Mathematics
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Page. NO
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1 online resource (99 p.)
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ISBN
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9781461462927 (electronic bk.)
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: 1461462924 (electronic bk.)
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9781461462910
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Abstract
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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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Subject
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System identification
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Subject
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Signal processing-- Digital techniques-- Mathematics
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Dewey Classification
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003/.1
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537.2446
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LC Classification
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QC595.5
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QC595.5
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QA402.H4 2013
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Added Entry
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Wang, Le Yi
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Yin, George,1954-
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Added Entry
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Ohio Library and Information Network
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