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Añadir al carritohardcover. Condición: GOOD. First Edition. 1994, 1st ed, first print, CRC Press. Hardcover. Contains limited markings/underlining, mainly in first chapter. Hardcover clean and bright, shows light wear. Binding is solid, square. May not include all supplements such as CDs, access codes or DVDs. From the personal collection of former Computer, Engineering & Electrical Dept Professor, Univ of Davis CA. Ships from USA, quickly and with care. Computational Number Theory and Digital Signal Processing: Fast Algorithms and Error Control Techniques. Krishna, Lin, and Sun provide a technical foundation for error control, modular arithmetic, and fast digital signal processing algorithms. Explores number theory applications in computer engineering, encryption, and high-performance computation systems.
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Publicado por Springer, Berlin|Springer International Publishing|Springer, 2021
ISBN 10: 3030549348 ISBN 13: 9783030549343
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Añadir al carritoTaschenbuch. Condición: Neu. Signal Processing Techniques for Computational Health Informatics | Md Atiqur Rahman Ahad (u. a.) | Taschenbuch | xx | Englisch | 2021 | Springer | EAN 9783030549343 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Publicado por Medical Info Science Reference, 2016
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Publicado por Springer International Publishing, Springer International Publishing Okt 2021, 2021
ISBN 10: 3030549348 ISBN 13: 9783030549343
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware -This book focuses on signal processing techniques used in computational health informatics. As computational health informatics is the interdisciplinary study of the design, development, adoption and application of information and technology-based innovations, specifically, computational techniques that are relevant in health care, the book covers a comprehensive and representative range of signal processing techniques used in biomedical applications, including: bio-signal origin and dynamics, sensors used for data acquisition, artefact and noise removal techniques, feature extraction techniques in the time, frequency, time¿frequency and complexity domain, and image processing techniques in different image modalities.Moreover, it includes an extensive discussion of security and privacy challenges, opportunities and future directions for computational health informatics in the big data age, and addresses the incorporation of recent techniques from the areas of artificial intelligence, deep learning and human¿computer interaction. The systematic analysis of the state-of-the-art techniques covered here helps to further our understanding of the physiological processes involved and expandour capabilities in medical diagnosis and prognosis.In closing, the book, the first of its kind, blends state-of-the-art theory and practices of signal processing techniques inthe health informatics domain with real-world case studies building on those theories. As a result, it can be used as a text for health informatics courses to provide medics with cutting-edge signal processing techniques, or to introducehealth professionals who are already serving in this sector to some of the most exciting computational ideas that paved the way for the development of computational health informatics.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 356 pp. Englisch.
Publicado por Springer International Publishing, Springer International Publishing Okt 2020, 2020
ISBN 10: 3030549313 ISBN 13: 9783030549312
Idioma: Inglés
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
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Añadir al carritoBuch. Condición: Neu. Neuware -This book focuses on signal processing techniques used in computational health informatics. As computational health informatics is the interdisciplinary study of the design, development, adoption and application of information and technology-based innovations, specifically, computational techniques that are relevant in health care, the book covers a comprehensive and representative range of signal processing techniques used in biomedical applications, including: bio-signal origin and dynamics, sensors used for data acquisition, artefact and noise removal techniques, feature extraction techniques in the time, frequency, time¿frequency and complexity domain, and image processing techniques in different image modalities.Moreover, it includes an extensive discussion of security and privacy challenges, opportunities and future directions for computational health informatics in the big data age, and addresses the incorporation of recent techniques from the areas of artificial intelligence, deep learning and human¿computer interaction. The systematic analysis of the state-of-the-art techniques covered here helps to further our understanding of the physiological processes involved and expandour capabilities in medical diagnosis and prognosis.In closing, the book, the first of its kind, blends state-of-the-art theory and practices of signal processing techniques inthe health informatics domain with real-world case studies building on those theories. As a result, it can be used as a text for health informatics courses to provide medics with cutting-edge signal processing techniques, or to introducehealth professionals who are already serving in this sector to some of the most exciting computational ideas that paved the way for the development of computational health informatics.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 356 pp. Englisch.
Publicado por Medical Info Science Reference, 2016
ISBN 10: 1522506608 ISBN 13: 9781522506607
Idioma: Inglés
Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Publicado por Springer International Publishing, 2021
ISBN 10: 3030549348 ISBN 13: 9783030549343
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 160,49
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book focuses onsignal processing techniques used in computational health informatics. As computational health informatics is the interdisciplinary study of the design, development, adoption and application of information and technology-based innovations, specifically, computational techniques that are relevant in health care,the bookcovers a comprehensive and representativerangeof signal processing techniques used in biomedical applications,including:bio-signal origin and dynamics, sensors used for data acquisition, artefact and noise removal techniques, feature extraction techniques inthetime, frequency, time-frequency and complexity domain,and image processing techniques in different image modalities.Moreover, it includes an extensive discussionof security and privacy challenges, opportunities and future directions for computational health informatics in the big data age,and addresses the incorporation ofrecent techniques from the areasof artificial intelligence, deep learning and human-computer interaction. The systematic analysis of the state-of-the-art techniques coveredherehelps to further our understandingof the physiological processesinvolvedandexpandour capabilitiesin medical diagnosis and prognosis.In closing, the book, the first of its kind, blendsstate-of-the-art theory and practices of signal processing techniques inthehealth informatics domainwithreal-worldcase studies building onthose theories. As a result,it can be usedas a text for health informatics coursesto provide medicswith cutting-edge signal processing techniques, or to introducehealth professionals who are already serving in this sector tosome of the most exciting computational ideas that paved the way forthe development of computational health informatics.
Publicado por Springer International Publishing, 2020
ISBN 10: 3030549313 ISBN 13: 9783030549312
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 160,49
Cantidad disponible: 1 disponibles
Añadir al carritoBuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book focuses onsignal processing techniques used in computational health informatics. As computational health informatics is the interdisciplinary study of the design, development, adoption and application of information and technology-based innovations, specifically, computational techniques that are relevant in health care,the bookcovers a comprehensive and representativerangeof signal processing techniques used in biomedical applications,including:bio-signal origin and dynamics, sensors used for data acquisition, artefact and noise removal techniques, feature extraction techniques inthetime, frequency, time-frequency and complexity domain,and image processing techniques in different image modalities.Moreover, it includes an extensive discussionof security and privacy challenges, opportunities and future directions for computational health informatics in the big data age,and addresses the incorporation ofrecent techniques from the areasof artificial intelligence, deep learning and human-computer interaction. The systematic analysis of the state-of-the-art techniques coveredherehelps to further our understandingof the physiological processesinvolvedandexpandour capabilitiesin medical diagnosis and prognosis.In closing, the book, the first of its kind, blendsstate-of-the-art theory and practices of signal processing techniques inthehealth informatics domainwithreal-worldcase studies building onthose theories. As a result,it can be usedas a text for health informatics coursesto provide medicswith cutting-edge signal processing techniques, or to introducehealth professionals who are already serving in this sector tosome of the most exciting computational ideas that paved the way forthe development of computational health informatics.
Librería: Mispah books, Redhill, SURRE, Reino Unido
EUR 209,05
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Añadir al carritoHardcover. Condición: Like New. Like New. book.