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Signal Processing For Neuroscientists A Companion Volume Advanced Topics Nonlinear Techniques And Multichannel Analysis Elsevier Insights 1st Edition Drongelen

  • SKU: BELL-1824500
Signal Processing For Neuroscientists A Companion Volume Advanced Topics Nonlinear Techniques And Multichannel Analysis Elsevier Insights 1st Edition Drongelen
$ 31.00 $ 45.00 (-31%)

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Signal Processing For Neuroscientists A Companion Volume Advanced Topics Nonlinear Techniques And Multichannel Analysis Elsevier Insights 1st Edition Drongelen instant download after payment.

Publisher: Elsevier
File Extension: PDF
File size: 6.64 MB
Pages: 186
Author: Drongelen, Wim van
ISBN: 9781282770294, 1282770292
Language: English
Year: 2010
Edition: 1

Product desciption

Signal Processing For Neuroscientists A Companion Volume Advanced Topics Nonlinear Techniques And Multichannel Analysis Elsevier Insights 1st Edition Drongelen by Drongelen, Wim Van 9781282770294, 1282770292 instant download after payment.

The popularity of signal processing in neuroscience is increasing, and with the current availability and development of computer hardware and software, it is anticipated that the current growth will continue. Because electrode fabrication has improved and measurement equipment is getting less expensive, electrophysiological measurements with large numbers of channels are now very common. In addition, neuroscience has entered the age of light, and fluorescence measurements are fully integrated into the researcher’s toolkit. Because each image in a movie contains multiple pixels, these measurements are multi-channel by nature. Furthermore, the availability of both generic and specialized software packages for data analysis has altered the neuroscientist’s attitude toward some of the more complex analysis techniques.
This book is a companion to the previously published Signal Processing for Neuroscientists: An Introduction to the Analysis of Physiological Signals, which introduced readers to the basic concepts. It discusses several advanced techniques, rediscovers methods to describe nonlinear systems, and examines the analysis of multi-channel recordings.
    Covers the more advanced topics of linear and nonlinear systems analysis and multi-channel analysis
    Includes practical examples implemented in MATLAB
    Provides multiple references to the basics to help the student

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