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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
Language: English
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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
Language: English
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ISBN 10: 0323859550 ISBN 13: 9780323859554
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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.
Published by Elsevier Science & Technology Sep 2022, 2022
ISBN 10: 0323859550 ISBN 13: 9780323859554
Language: English
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Taschenbuch. Condition: Neu. Neuware - 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.
Published by Elsevier Science & Technology, 2022
ISBN 10: 0323859550 ISBN 13: 9780323859554
Language: English
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Taschenbuch. Condition: Neu. Advanced Methods in Biomedical Signal Processing and Analysis | Arindam Bit (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2022 | Elsevier Science & Technology | EAN 9780323859554 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Published by Elsevier Science and Technology, GB, 2022
ISBN 10: 0323859550 ISBN 13: 9780323859554
Language: English
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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.
Published by Elsevier Science & Technology, Oxford, 2022
ISBN 10: 0323859550 ISBN 13: 9780323859554
Language: English
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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 our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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