Language: French
Published by Editions Notre Savoir, 2024
ISBN 10: 6204235303 ISBN 13: 9786204235301
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Language: French
Published by International Book Market Service Ltd, GB, 2024
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Language: French
Published by Editions Notre Savoir, 2024
ISBN 10: 6204235303 ISBN 13: 9786204235301
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Language: English
Published by LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659790869 ISBN 13: 9783659790867
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Language: Portuguese
Published by Edições Nosso Conhecimento, 2024
ISBN 10: 6204235435 ISBN 13: 9786204235431
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Language: Portuguese
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Language: German
Published by International Book Market Service Ltd, GB, 2024
ISBN 10: 6204235281 ISBN 13: 9786204235288
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Language: Italian
Published by International Book Market Service Ltd, GB, 2024
ISBN 10: 6204235311 ISBN 13: 9786204235318
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Published by Edições Nosso Conhecimento, 2024
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Published by Academic Press 2022-06-15, 2022
ISBN 10: 0323859550 ISBN 13: 9780323859554
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Published by Elsevier Science & Technology, Oxford, 2022
ISBN 10: 0323859550 ISBN 13: 9780323859554
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Paperback. Condition: new. Paperback. Advanced Methods in Biomedical Signal Processing and Analysis presents state-of-the-art methods in biosignal processing, including recurrence quantification analysis, heart rate variability, analysis of the RRI time-series signals, joint time-frequency analyses, wavelet transforms and wavelet packet decomposition, empirical mode decomposition, modeling of biosignals, Gabor Transform, empirical mode decomposition. The book also gives an understanding of feature extraction, feature ranking, and feature selection methods, while also demonstrating how to apply artificial intelligence and machine learning to biosignal techniques. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Published by Elsevier Science & Technology, 2022
ISBN 10: 0323859550 ISBN 13: 9780323859554
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Published by Elsevier Science & Technology, 2022
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Published by Elsevier Science and Technology, GB, 2022
ISBN 10: 0323859550 ISBN 13: 9780323859554
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Paperback. Condition: New. Advanced Methods in Biomedical Signal Processing and Analysis presents state-of-the-art methods in biosignal processing, including recurrence quantification analysis, heart rate variability, analysis of the RRI time-series signals, joint time-frequency analyses, wavelet transforms and wavelet packet decomposition, empirical mode decomposition, modeling of biosignals, Gabor Transform, empirical mode decomposition. The book also gives an understanding of feature extraction, feature ranking, and feature selection methods, while also demonstrating how to apply artificial intelligence and machine learning to biosignal techniques.