Asset Details
Do you wish to reserve the book?
Signal Processing for Neuroscientists - Introduction to the Analysis of Physiological Signals
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Signal Processing for Neuroscientists - Introduction to the Analysis of Physiological Signals
Do you wish to request the book?
Signal Processing for Neuroscientists - Introduction to the Analysis of Physiological Signals
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
eBook
Signal Processing for Neuroscientists - Introduction to the Analysis of Physiological Signals
2007,2006
Overview
This book introduces analysis techniques primarily aimed at neuroscientists and biomedical engineering students with a reasonable but modest background in mathematics, physics, and computer programming. The focus of this text is on what can be considered the 'golden trio' in the signal processing field: averaging, Fourier analysis, and filtering. Techniques such as convolution, correlation, coherence, and wavelet analysis are considered in the context of time and frequency domain analysis. The whole spectrum of signal analysis is covered, ranging from data acquisition to data processing; and from the mathematical background of the analysis to the practical application of processing algorithms. Overall, the approach to the mathematics is informal with a focus on basic understanding of the methods and their interrelationships rather than detailed proofs or derivations.
Publisher
Elsevier,Elsevier Science & Technology,Academic Press
Subject
ISBN
0123708672, 9780123708670
