Wavelet Transform and Some of Its Real-World Applications

Dumitru Baleanu

ISBN 10: 9535122304 / ISBN 13: 9789535122302

Published by Intechopen, 2015

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - The book contains six chapters. The use of the progressive regressive strategy for biometrical authentication through the use of human gait and face images was investigated. A new lossy image compression technique that uses singular value decomposition and wavelet difference reduction technique was proposed. The best wavelet packet based selection algorithm and its application in image denoising was discussed. The scaling factor threshold estimator in different color models using a discrete wavelet transform for steganographic algorithms was presented. The extraction of features appearing in current signal using wavelet analysis when there is rotor fault of eccentricity and broken rotor bar was debated. The application of the empirical wavelet transform for seismic anomalies detection in ultralow-frequency geomagnetic signals was illustrated.

Seller Inventory # 9789535122302

Bibliographic Details

• Title: Wavelet Transform and Some of Its Real-World Applications
• Publisher: Intechopen
• Publication Date: 2015
• Language: English
• ISBN 10: 9535122304
• ISBN 13: 9789535122302
• Binding: Buch
• Condition: Neu
• Dimensions: 266W x 185H x 14D millimeters 266 millimeters width by 185 millimeters height by 14 millimeters depth
• Weight: 511 grams

About this title

Synopsis

The book contains six chapters. The use of the progressive regressive strategy for biometrical authentication through the use of human gait and face images was investigated. A new lossy image compression technique that uses singular value decomposition and wavelet difference reduction technique was proposed. The best wavelet packet based selection algorithm and its application in image denoising was discussed. The scaling factor threshold estimator in different color models using a discrete wavelet transform for steganographic algorithms was presented. The extraction of features appearing in current signal using wavelet analysis when there is rotor fault of eccentricity and broken rotor bar was debated. The application of the empirical wavelet transform for seismic anomalies detection in ultralow-frequency geomagnetic signals was illustrated.