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System Identification Using Regular by Wang Yin (6 results)
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System Identification Using Regular and Quantized Observations: Applications of Large Deviations Principles
Book 17 of 155: SpringerBriefs in MathematicsUS$ 93.20
US$ 13.53 shipping
Ships from United Kingdom to U.S.A.Quantity: 1 available
Add to basketPaperback. Condition: Brand New. 95 pages. 9.25x6.25x0.25 inches. In Stock.
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Condition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | żThis 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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Condition: New. Print on Demand pp. 108 17 Illus. (16 Col.).
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Condition: New. PRINT ON DEMAND pp. 108.
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents characterizations of identification errors under a probabilistic framework when output sensors are binary, quantized, or regularFirst book devoted to large deviations to system identificationApplication orientedPresents.
