System identification using regular and quantized observations : applications of large deviations principles

Resource Information

The work System identification using regular and quantized observations : applications of large deviations principles represents a distinct intellectual or artistic creation found in University of Liverpool. This resource is a combination of several types including: Work, Language Material, Books.

Label

System identification using regular and quantized observations : applications of large deviations principles

Title remainder

applications of large deviations principles

Statement of responsibility

Qi He, Le Yi Wang, G. George Yin

Creator

• He, Qi

Contributor

• Wang, Le Yi
• Yin, George, 1954-

Subject

• Piezoelectricity
• Pyroelectricity
• Signal processing -- Digital techniques | Mathematics
• System identification
• Piezoelectric materials

Language

eng

Summary

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

Member of

• Online access with purchase: Springer
• SpringerBriefs in mathematics

Cataloging source

EBLCP

Dewey number

• 003/.1
• 537.2446

Index

no index present

LC call number

• QA402
• QC595.5

LC item number

.H4 2013

Literary form

non fiction

Nature of contents

dictionaries

Series statement

SpringerBriefs in Mathematics