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Книга Signal Processing for Neuroscientists Wim van Drongelen

Signal Processing for Neuroscientists

Автор: Wim van Drongelen
Език: Английски език
Корици: С твърди корици
Издател: Elsevier Science Publishing Co Inc
Наличност: Налично при издателя, по поръчка
Изпращаме след 28-34 дни
125.35 € 245.16 лв
Signal Processing for Neuroscientists, Second Edition provides an introduction to signal processing...

Информация за книгата

Автор
Wim van Drongelen
Език
Английски език
Корици
Книга - С твърди корици
Издадена
2018
страници
740
EAN
9780128104828
ISBN
0128104821
Enbook ID
18889939
Издател
Elsevier Science Publishing Co Inc
Теглоt
1322
Размери
236 x 160 x 42

Пълно описание

Signal Processing for Neuroscientists, Second Edition provides an introduction to signal processing and modeling for those with a modest understanding of algebra, trigonometry and calculus. With a robust modeling component, this book describes modeling from the fundamental level of differential equations all the way up to practical applications in neuronal modeling. It features nine new chapters and an exercise section developed by the author. Since the modeling of systems and signal analysis are closely related, integrated presentation of these topics using identical or similar mathematics presents a didactic advantage and a significant resource for neuroscientists with quantitative interest. Although each of the topics introduced could fill several volumes, this book provides a fundamental and uncluttered background for the non-specialist scientist or engineer to not only get applications started, but also evaluate more advanced literature on signal processing and modeling. Includes an introduction to biomedical signals, noise characteristics, recording techniques, and the more advanced topics of linear, nonlinear and multi-channel systems analysis Features new chapters on the fundamentals of modeling, application to neuronal modeling, Kalman filter, multi-taper power spectrum estimation, and practice exercises Contains the basics and background for more advanced topics in extensive notes and appendices Includes practical examples of algorithm development and implementation in MATLAB Features a companion website with MATLAB scripts, data files, figures and video lectures

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