@inbook{14983,
  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.},
  author       = {Schlögl, Alois and Vidaurre, Carmen and Müller, Klaus-Robert},
  booktitle    = {Brain-Computer Interfaces},
  editor       = {Graimann, Bernhard and Pfurtscheller, Gert and Allison, Brendan},
  isbn         = {9783642020902},
  issn         = {1612-3018},
  pages        = {331--355},
  publisher    = {Springer},
  title        = {{Adaptive Methods in BCI Research - An Introductory Tutorial}},
  doi          = {10.1007/978-3-642-02091-9_18},
  year         = {2010},
}