---
res:
  bibo_abstract:
  - 'This chapter tackles a difficult challenge: presenting signal processing material
    to non-experts. This chapter is meant to be comprehensible to people who have
    some math background, including a course in linear algebra and basic statistics,
    but do not specialize in mathematics, engineering, or related fields. Some formulas
    assume the reader is familiar with matrices and basic matrix operations, but not
    more advanced material. Furthermore, we tried to make the chapter readable even
    if you skip the formulas. Nevertheless, we include some simple methods to demonstrate
    the basics of adaptive data processing, then we proceed with some advanced methods
    that are fundamental in adaptive signal processing, and are likely to be useful
    in a variety of applications. The advanced algorithms are also online available
    [30]. In the second part, these techniques are applied to some real-world BCI
    data.@eng'
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Alois
      foaf_name: Schlögl, Alois
      foaf_surname: Schlögl
      foaf_workInfoHomepage: http://www.librecat.org/personId=45BF87EE-F248-11E8-B48F-1D18A9856A87
    orcid: 0000-0002-5621-8100
  - foaf_Person:
      foaf_givenName: Carmen
      foaf_name: Vidaurre, Carmen
      foaf_surname: Vidaurre
  - foaf_Person:
      foaf_givenName: Klaus-Robert
      foaf_name: Müller, Klaus-Robert
      foaf_surname: Müller
  bibo_doi: 10.1007/978-3-642-02091-9_18
  dct_date: 2010^xs_gYear
  dct_isPartOf:
  - http://id.crossref.org/issn/1612-3018
  - http://id.crossref.org/issn/9783642020902
  dct_language: eng
  dct_publisher: Springer@
  dct_title: Adaptive Methods in BCI Research - An Introductory Tutorial@
...