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Titlebook: Biological Signals Classification and Analysis; Kamran Kiasaleh Book 2015 Springer-Verlag Berlin Heidelberg 2015 Anti-Aliasing Filter.Chao

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發(fā)表于 2025-3-21 16:03:48 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Biological Signals Classification and Analysis
影響因子2023Kamran Kiasaleh
視頻videohttp://file.papertrans.cn/188/187466/187466.mp4
發(fā)行地址Presents key tools and methods Covers a broad spectrum of topics.Provides knowledge on unique features of biological signals.Written by an expert in the field.Includes supplementary material:
學(xué)科分類Lecture Notes in Bioengineering
圖書封面Titlebook: Biological Signals Classification and Analysis;  Kamran Kiasaleh Book 2015 Springer-Verlag Berlin Heidelberg 2015 Anti-Aliasing Filter.Chao
影響因子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 b
Pindex Book 2015
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2195-271X 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 b978-3-662-51203-6978-3-642-54879-6Series ISSN 2195-271X Series E-ISSN 2195-2728
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Kamran KiasalehPresents key tools and methods Covers a broad spectrum of topics.Provides knowledge on unique features of biological signals.Written by an expert in the field.Includes supplementary material:
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