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Published by LAP LAMBERT Academic Publishing, 2020
ISBN 10: 3330003928ISBN 13: 9783330003927
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
Book
Condition: New.
Published by LAP Lambert Academic Publishing, 2020
ISBN 10: 3330003928ISBN 13: 9783330003927
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Book Print on Demand
Condition: New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book.
Published by LAP Lambert Academic Publishing 2020-06, 2020
ISBN 10: 3330003928ISBN 13: 9783330003927
Seller: Chiron Media, Wallingford, United Kingdom
Book
PF. Condition: New.
Published by LAP LAMBERT Academic Publishing, 2020
ISBN 10: 3330003928ISBN 13: 9783330003927
Seller: PBShop.store US, Wood Dale, IL, U.S.A.
Book Print on Demand
PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Published by LAP LAMBERT Academic Publishing Jun 2020, 2020
ISBN 10: 3330003928ISBN 13: 9783330003927
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Book Print on Demand
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The recorded phonocardiogram PCG signal is often contaminated by different types of noises that can be seen in the frequency band of PCG signal, which may change the characteristics of this signal. Wavelet transform has become an essential tool for many applications but its effectiveness is influenced by main parameters. Determination of mother wavelet function and decomposition level (DL) is important key factors to demonstrate the advantages of wavelet denoising . So, selection of optimal mother wavelet with DL is a main challenge to current algorithms . This work proposes a new approach for finding an optimal DL and optimal mother wavelet for PCG signals denoising according to four criteria which are: signal-to-noise ratio (SNR), mean square error (MSE), percentage root-mean-square difference (PRD) and the structure similarity index measure (SSIM) . Our approach is designed to tackle the problems of noise and variability caused by PCG acquisition in a real clinical environment for different categories of patients. 68 pp. Englisch.
Published by LAP LAMBERT Academic Publishing, 2020
ISBN 10: 3330003928ISBN 13: 9783330003927
Seller: AHA-BUCH GmbH, Einbeck, Germany
Book Print on Demand
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The recorded phonocardiogram PCG signal is often contaminated by different types of noises that can be seen in the frequency band of PCG signal, which may change the characteristics of this signal. Wavelet transform has become an essential tool for many applications but its effectiveness is influenced by main parameters. Determination of mother wavelet function and decomposition level (DL) is important key factors to demonstrate the advantages of wavelet denoising . So, selection of optimal mother wavelet with DL is a main challenge to current algorithms . This work proposes a new approach for finding an optimal DL and optimal mother wavelet for PCG signals denoising according to four criteria which are: signal-to-noise ratio (SNR), mean square error (MSE), percentage root-mean-square difference (PRD) and the structure similarity index measure (SSIM) . Our approach is designed to tackle the problems of noise and variability caused by PCG acquisition in a real clinical environment for different categories of patients.
Published by LAP LAMBERT Academic Publishing, 2020
ISBN 10: 3330003928ISBN 13: 9783330003927
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Book Print on Demand
PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Published by LAP LAMBERT Academic Publishing, 2020
ISBN 10: 3330003928ISBN 13: 9783330003927
Seller: moluna, Greven, Germany
Book Print on Demand
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Rouis MohamedMohamed Rouis Had his Ph.D. degree in electronic engineering in 2019 from the University of Biskra. Field of research signal processing. Nasser edinne Benhassine Had his Ph.D. degree in Exact Science and Informatics in.