Name: Signal Processing for Neuroscientists (en Inglés)
Price: 406.87 PEN
Availability: InStock
Author: Wim Van Drongelen
ISBN: 9780128104828

portada Signal Processing for Neuroscientists (en Inglés)

Formato

Libro Físico

Editorial

Academic Press

Autor

Wim Van Drongelen

Año

2018

Idioma

Inglés

N° páginas

740

Encuadernación

Tapa Dura

ISBN13

9780128104828

N° edición

Categorías

Neurología y neurofisiología clínicas

Signal Processing for Neuroscientists (en Inglés)

Wim Van Drongelen (Autor) · Academic Press · Tapa Dura

Libro Físico

S/ 406,87

S/ 813,75

Ahorras: S/ 406,87

50% descuento

Envío normal

Origen: Reino Unido (Costos de importación incluídos en el precio)

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Reseña del libro "Signal Processing for Neuroscientists (en Inglés)"

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 exercisesContains the basics and background for more advanced topics in extensive notes and appendicesIncludes practical examples of algorithm development and implementation in MATLABFeatures a companion website with MATLAB scripts, data files, figures and video lectures