Detail výsledku

Self-othogonalizing Adaptive Filters using Discrete Cosine Transform

MALENOVSKÝ, V., VONDRA, M., ZEZULA, R. Self-othogonalizing Adaptive Filters using Discrete Cosine Transform. In Proceedings of the Conference TSP'2003. Brno, Česká Republika: VUT Brno, 2003. no. 9, 4 p. ISBN: 80-214-2433-8.
Typ
článek ve sborníku konference
Jazyk
anglicky
Autoři
Malenovský Vladimír, Ing., Ph.D.
Vondra Martin, Ing., Ph.D.
Zezula Radek, Ing., Ph.D.
Abstrakt

This article deals with a special type of adaptive algorithms based on orthogonalization of input data. Adaptive nature is achieved using conventional LMS filter that receives orthogonalized input samples and produces response close to desired output. A difference between actual and desired output is used to adjust the parameters of LMS filter. In this kind of filtering the goal is to faster the convergence rate in order to boost the performance in fast-paced environment. In real-time applications it is necessary for the system to be computationally efficient. Therefore a DCT transform is applied as a tool for orthogonalization instead of conventional methods.

Rok
2003
Strany
4
Sborník
Proceedings of the Conference TSP'2003
Vydání
první
Svazek
1
Číslo
9
Konference
Telecommunications and Signal Processing, TSP-2003
ISBN
80-214-2433-8
Vydavatel
VUT Brno
Místo
Brno, Česká Republika
BibTeX
@inproceedings{BUT8326,
  author="Vladimír {Malenovský} and Martin {Vondra} and Radek {Zezula}",
  title="Self-othogonalizing Adaptive Filters using Discrete Cosine Transform",
  booktitle="Proceedings of the Conference TSP'2003",
  year="2003",
  volume="1",
  number="9",
  pages="4",
  publisher="VUT Brno",
  address="Brno, Česká Republika",
  isbn="80-214-2433-8"
}
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