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Biological Signals Classification and Analysis

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Biological Signals Classification and Analysis/ by Kamran Kiasaleh.
作者:	Kiasaleh, Kamran.
面頁冊數:	XI, 380 p. 231 illus., 222 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Biomedical engineering. -
電子資源:	https://doi.org/10.1007/978-3-642-54879-6
ISBN:	9783642548796

Biological Signals Classification and Analysis
Kiasaleh, Kamran.

Biological Signals Classification and Analysis[electronic resource] /by Kamran Kiasaleh. - 1st ed. 2015. - XI, 380 p. 231 illus., 222 illus. in color.online resource. - 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

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

588770
Biomedical engineering.

LC Class. No.: R856-857

Dewey Class. No.: 610.28

Biological Signals Classification and Analysis
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