rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Signal processing for neuroscientists
    sub title: introduction to the analysis of physiological signals
  name:
    name part: Drongelen, Wim van.
    role:
      role term: creator
  type of resource: text
  genre: bibliography
  genre: elektronické knihy
  genre: electronic books
  origin info:
    place:
      place term: ne
    place:
      place term: Amsterdam
    place:
      place term: Boston
    publisher: Elsevier/Academic Press
    date issued: ©2007
    date issued: 2007
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (ix, 308 pages) : color illustrations
  abstract: Signal Processing for Neuroscientists 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. One of the principle goals is to provide the reader with the background required to understand the principles of commercially available analyses software, and to allow him/her to construct his/her own analysis tools in an environment such as MATLABʼ. Multiple color illustrations are integrated in the text Includes an introduction to biomedical signals, noise characteristics, and recording techniques Basics and background for more advanced topics can be found in extensive notes and appendices.
  table of contents: Introduction -- Data Acquisition -- Noise -- Signal Averaging -- Real and Complex Fourier Series -- Continuous, Discrete, and Fast Fourier Transform -- Fourier Transform Applications -- LTI systems, Convolution, Correlation, and Coherence -- Laplace and z-Transform -- Introduction to Filters: the RC-Circuit -- Filters: Analysis -- Filters: Specification, Bode plot, Nyquist plot -- Filters: Digital Filters -- Spike Train Analysis -- Wavelet Analysis: Time Domain Properties -- Wavelet Analysis: Frequency Domain Properties -- Nonlinear Techniques.
  note: Wim van Drongelen.
  note: Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty
  note: Includes bibliographical references (pages 297-300) and index.
  subject:
    topic: Signal processing
    topic: Digital techniques
  subject:
    topic: Neurosciences
    topic: Data processing
  subject:
    topic: Neurology
    topic: Mathematical models
  subject:
    topic: Physiology
    topic: Mathematical models
  subject:
    topic: Life sciences
  subject:
    topic: Physical sciences
  subject:
    topic: Mathematical models
  subject:
    topic: Neurosciences
  related item:
    title info:
      title: Signal processing for neuroscientists
    name:
      name part: Drongelen, Wim van.
    origin info:
      publisher: Amsterdam ; Boston : Elsevier/Academic Press, ©2007
    identifier: (OCoLC)82463388
  identifier: 9780080467757
  identifier: 008046775X
  identifier: 0123708672
  identifier: 9780123708670
  identifier: 9781280746956
  identifier: 1280746955
  identifier: https://proxy.k.utb.cz/login
  access condition: Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty
  record info:
    record content source: N$T
    record creation date: 070322
    record change date: 20240717213016.0
    record identifier: kn-ocm86105578
    language of cataloging:
      language term: eng