10% off all books and free delivery over £40
Buy from our bookstore and 25% of the cover price will be given to a school of your choice to buy more books. *15% of eBooks.

Biological Signals Classification and Analysis

View All Editions

The selected edition of this book is not available to buy right now.
Add To Wishlist
Write A Review

About

Biological Signals Classification and Analysis Synopsis

This authored monograph presents key aspects of signal processing analysis in the biomedical arena. Unlike wireless communication systems, biological entities produce signals with underlying nonlinear, chaotic nature that elude classification using the standard signal processing techniques, which have been developed over the past several decades for dealing primarily with standard communication systems. This book separates what is random from that which appears to be random and yet is truly deterministic with random appearance. At its core, this work gives the reader a perspective on biomedical signals and the means to classify and process such signals. In particular, a review of random processes along with means to assess the behavior of random signals is also provided. The book also includes a general discussion of biological signals in order to demonstrate the inefficacy of the well-known techniques to correctly extract meaningful information from such signals. Finally, a thorough discussion of recently proposed signal processing tools and methods for addressing biological signals is included. The target audience primarily comprises researchers and expert practitioners but the book may also be beneficial for graduate students.

About This Edition

ISBN: 9783662512036
Publication date: 17th October 2016
Author: Kamran Kiasaleh
Publisher: Springer an imprint of Springer Berlin Heidelberg
Format: Paperback
Pagination: 380 pages
Series: Lecture Notes in Bioengineering
Genres: Biomedical engineering
Functional analysis and transforms
Medical research
Electronics engineering
Digital signal processing (DSP)
Image processing