The Hilbert-Huang Transform in Engineering

Author:   Norden E. Huang ,  Nii O. Attoh-Okine ,  Torsten Schlurmann (Bergische University Wuppertal, Germany) ,  Nii O. Attoh-Okine (University of Delaware, Newark, USA)
Publisher:   Taylor & Francis Inc
ISBN:  

9780849334221


Pages:   334
Publication Date:   23 June 2005
Format:   Hardback
Availability:   In Print   Availability explained
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The Hilbert-Huang Transform in Engineering


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Author:   Norden E. Huang ,  Nii O. Attoh-Okine ,  Torsten Schlurmann (Bergische University Wuppertal, Germany) ,  Nii O. Attoh-Okine (University of Delaware, Newark, USA)
Publisher:   Taylor & Francis Inc
Imprint:   CRC Press Inc
Dimensions:   Width: 15.60cm , Height: 2.30cm , Length: 23.40cm
Weight:   0.612kg
ISBN:  

9780849334221


ISBN 10:   0849334225
Pages:   334
Publication Date:   23 June 2005
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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This is a book that exclusively deals with the HHT. Its main purpose is to provide the reader with an overview of the HHT without pursuing thorough mathematical details. Further, it attempts to demonstrate the versatility of the method by including numerous applications of the HHT in various engineering fields including ocean, environmental, seismic, and structural engineering. The book is organized into 13 chapters, each one written by different authors in a strict technical paper format ... Overall, the book provides a balanced presentation of the HHT from various points of view depending on the application of interest and demonstrates the versatility and applicability of this numerical technique in various technical fields. It can be a valuable reference text for researchers and practitioners in the plethora of engineering fields that deal with the processing of nonstationary data sets and focus on extracting physically meaningful information while capturing the evolution of the corresponding processes in time or space. -Pol Spanos (Rice University), Journal of Waterway, Port, Coastal, and Ocean Engineering, vol. 132, no. 5, Sept./Oct. 2006


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Norden E. Huang, Nii O. Attoh-Okine

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