Product details:
| ISBN13: | 9783030670979 |
| ISBN10: | 303067097X |
| Binding: | Paperback |
| No. of pages: | 152 pages |
| Size: | 235x155 mm |
| Weight: | 454 g |
| Language: | English |
| Illustrations: | 12 Illustrations, black & white; 84 Illustrations, color |
| 224 |
Category:
Computational Intelligence and Biomedical Signal Processing
An Interdisciplinary, Easy and Practical Approach
Edition number: 1st ed. 2021
Publisher: Springer
Date of Publication: 26 May 2021
Number of Volumes: 1 pieces, Book
Normal price:
Publisher's listprice:
EUR 69.54
EUR 69.54
Your price:
27 810 (26 486 HUF + 5% VAT )
discount is: 8% (approx 2 418 HUF off)
The discount is only available for 'Alert of Favourite Topics' newsletter recipients.
Click here to subscribe.
Click here to subscribe.
Availability:
Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
Not in stock at Prospero.
Can't you provide more accurate information?
Not in stock at Prospero.
Short description:
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.
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,
- Includesimplementation of techniques with examples, general programming codes and MatLab scripts.
- 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,
- Includesimplementation of techniques with examples, general programming codes and MatLab scripts.
Long description:
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.
Table of Contents:
Introduction.- Swarm Intelligence.- Classification and Pattern Recognition.- Biomedical Signal Processing.- Multirate Signal Processing and Feature extraction.- Basics of MatLab and Small Projects.- Conclusion.
