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Biological signals classification an...

Kiasaleh, Kamran.

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Biological signals classification and analysis

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Biological signals classification and analysis/ by Kamran Kiasaleh.
Author:	Kiasaleh, Kamran.
Published:	Berlin, Heidelberg :Springer Berlin Heidelberg : : 2015.,
Description:	xi, 380 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Non-Biological Signals -- Linear and Nonlinear Systems -- Biological Signals -- Signal Processing Methods for Biological Signals -- Signal Decomposition Methods -- References and Concluding Remarks.
Contained By:	Springer eBooks
Subject:	Signal processing - Digital techniques. -
Online resource:	http://dx.doi.org/10.1007/978-3-642-54879-6
ISBN:	9783642548796 (electronic bk.)

Biological signals classification and analysis
Kiasaleh, Kamran.

Biological signals classification and analysis[electronic resource] /by Kamran Kiasaleh. - Berlin, Heidelberg :Springer Berlin Heidelberg :2015. - xi, 380 p. :ill. (some col.), digital ;24 cm. - Lecture notes in bioengineering,2195-271X. - Lecture notes in bioengineering..

Non-Biological Signals -- Linear and Nonlinear Systems -- Biological Signals -- Signal Processing Methods for Biological Signals -- Signal Decomposition Methods -- References and Concluding Remarks.

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.

ISBN: 9783642548796 (electronic bk.)

Standard No.: 10.1007/978-3-642-54879-6doiSubjects--Topical Terms:

624853
Signal processing
--Digital techniques.

LC Class. No.: TK5102.9

Dewey Class. No.: 621.3822

Biological signals classification and analysis
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100 1 $a Kiasaleh, Kamran. $3 2156619
245 1 0 $a Biological signals classification and analysis $h [electronic resource] / $c by Kamran Kiasaleh.
260 $a Berlin, Heidelberg : $b Springer Berlin Heidelberg : $b Imprint: Springer, $c 2015.
300 $a xi, 380 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Lecture notes in bioengineering, $x 2195-271X
505 0 $a Non-Biological Signals -- Linear and Nonlinear Systems -- Biological Signals -- Signal Processing Methods for Biological Signals -- Signal Decomposition Methods -- References and Concluding Remarks.
520 $a 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.
650 0 $a Signal processing $x Digital techniques. $3 624853
650 0 $a Biological control systems. $3 518704
650 1 4 $a Engineering. $3 586835
650 2 4 $a Biomedical Engineering. $3 720279
650 2 4 $a Biomedicine general. $3 890966
650 2 4 $a Signal, Image and Speech Processing. $3 891073
650 2 4 $a Computer Imaging, Vision, Pattern Recognition and Graphics. $3 890871
650 2 4 $a Fourier Analysis. $3 891095
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Lecture notes in bioengineering. $3 2055914
856 4 0 $u http://dx.doi.org/10.1007/978-3-642-54879-6
950 $a Engineering (Springer-11647)