Biological Signals Classification and Analysis (Hardcover, 2015 ed.)

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.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Lecture Notes in Bioengineering
Release date:	July 2015
First published:	2015
Authors:	Kamran Kiasaleh
Dimensions:	235 x 155 x 22mm (L x W x T)
Format:	Hardcover
Pages:	380
Edition:	2015 ed.
ISBN-13:	978-3-642-54878-9
Languages:	English
Subtitles:	English
Categories:	Books > Medicine > General issues > Medical equipment & techniques > General Books > Medicine > Nursing & ancillary services > Biomedical engineering > General Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General
LSN:	3-642-54878-4
Barcode:	9783642548789

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