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Books > Reference & Interdisciplinary > Communication studies > Information theory > Cybernetics & systems theory
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System Identification Using Regular and Quantized Observations - Applications of Large Deviations Principles (Paperback, 2013 ed.)
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System Identification Using Regular and Quantized Observations - Applications of Large Deviations Principles (Paperback, 2013 ed.)
Series: SpringerBriefs in Mathematics
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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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