System Identification Using Regular and Quantized Observations: Applications of Large Deviations Principles (SpringerBriefs in Mathematics) [9781461462910]

Name: System Identification Using Regular and Quantized Observations: Applications of Large Deviations Principles (SpringerBriefs in Mathematics) [9781461462910]
SKU: 9781461462910
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Author: Qi He Le Yi Wang George G. Yin

Paperback

SKU: 9781461462910

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Overview

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.

The book, System Identification Using Regular and Quantized Observations: Applications of Large Deviations Principles (SpringerBriefs in Mathematics) [Bulk, Wholesale, Quantity] ISBN#9781461462910 in Paperback by Qi He, Le Yi Wang, George G. Yin may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.

Details

Author:

Qi He Le Yi Wang George G. Yin

Format:

Paperback

Publication Date:

02/08/2013

ISBN-13:

9781461462910

Pages:

Publisher:

Springer New York

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