Download EBOOK System Identification Using Regular and Quantized Observations: Applications of Large Deviations Principles PDF for free


Download EBOOK System Identification Using Regular and Quantized Observations: Applications of Large Deviations Principles PDF for free Category: Reference
The author of the book: Qi He
Format files: PDF, EPUB, TXT, DOCX
The size of the: 543 KB
Language: English
ISBN-13: 9781461462910
Edition: Springer-Verlag New York Inc.
Date of issue: 9 February 2013

Description of the book "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.

Download EBOOK System Identification Using Regular and Quantized Observations: Applications of Large Deviations Principles PDF for free


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Qi He

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Download EBOOK System Identification Using Regular and Quantized Observations: Applications of Large Deviations Principles PDF for free



Download EBOOK System Identification Using Regular and Quantized Observations: Applications of Large Deviations Principles for free

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