Time-Frequency Based Feature Extraction and Classification: Considering Energy Concentration as a Feature Using the Stockwell Transform and Related Approaches - Image 1

£63.00

VDM Verlag Time-Frequency Based Feature Extraction and Classification: Considering Energy Concentration as a Feature Using the Stockwell Transform and Related Approaches

Name: Time-Frequency Based Feature Extraction and Classification: Considering Energy Concentration as a Feature Using the Stockwell Transform and Related Approaches
Brand: VDM Verlag
Price: 62.94 GBP
Availability: InStock

Electrical Engineering

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Description

In many fields such as telecommunications, multimedia, medical technology, radar and sonar, man-machine communications, we utilize advanced signal processing techniques to extrapolate underlying information on specific problems for the purpose of decision making. Traditional signal processing approaches assume the stationarity of signals, which in practice is not often satisfied. Hence, time or frequency descriptions alone are insufficient to provide comprehensive information about such signals. On the contrary, time-frequency analysis is more suitable for non-stationary signals. Therefore, this book provides a status report of feature-based signal processing in the time-frequency domain through an overview of recent contributions. The feature considered here is energy concentration. The material covered in this book should help shed some light on this exciting topic, and should be especially useful to professionals in many fields dealing with the analysis of non-stationary signals.

Product Specifications

Brand: VDM Verlag
Format: paperback
ASIN: 3639219600
Category: Books > Subjects > Science, Nature & Maths > Engineering & Technology > Electrical > Electrical Engineering
Domain: Amazon UK
Release Date: 21 December 2009
Listed Since: 24 December 2009

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VDM Verlag Time-Frequency Based Feature Extraction and Classification: Considering Energy Concentration as a Feature Using the Stockwell Transform and Related Approaches

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