Computational Intelligence and Biomedical Signal Processing : An Interdisciplinary, Easy and Practical Approach / by Mitul Kumar Ahirwal, Anil Kumar, Girish Kumar Singh
By: Ahirwal, Mitul Kumar, autor
Contributor(s): Kumar, Anil, autor
| Singh, Girish Kumar, autor
Material type:
E-bookSeries: (SpringerBriefs in Electrical and Computer Engineering, 2191-8120); (Engineering (SpringerNature-11647)); (Engineering (R0) (SpringerNature-43712)).Publisher: Cham : Springer International Publishing, 2021Edition: First edition 2021.Description: 1 recurso en línea (XXIV, 152 páginas) : 96 ilustraciones, 84 ilustraciones a color.ISBN: 9783030670986.Subject: Ingeniería biomédica -- Congresos y asambleas
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|---|
LIBRO-E NO PRÉSTAMO
|
Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | Q342 2021 EB (Browse shelf(Opens below)) | Acceso electrónico | eBook.11012336 |
Introduction -- Swarm Intelligence -- Classification and Pattern Recognition -- Biomedical Signal Processing -- Multirate Signal Processing and Feature extraction -- Basics of MatLab and Small Projects -- Conclusion.
This book presents an interdisciplinary paradigms of computational intelligence techniques and biomedical signal processing. The computational intelligence techniques outlined in the book will help to develop various ways to enhance and utilize signal processing algorithms in the field of biomedical signal processing. In this book, authors have discussed research, discoveries and innovations in computational intelligence, signal processing, and biomedical engineering that will be beneficial to engineers working in the field of health care systems. The book provides fundamental and initial level theory and implementation tools, so that readers can quickly start their research in these interdisciplinary domains. Provides an introduction to computational intelligence and biomedical signals, including swarm intelligence, soft computing methods, and classification techniques, Presents the fundamental signal processing and classification approach, Includes implementation of techniques with examples, general programming codes and MatLab scripts.
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