Result Details

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.
Type
conference paper
Language
English
Authors
Malenovský Vladimír, Ing., Ph.D.
Vondra Martin, Ing., Ph.D.
Zezula Radek, Ing., Ph.D.
Abstract

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.

Published
2003
Pages
4
Proceedings
Proceedings of the Conference TSP'2003
Edition
první
Volume
1
Number
9
Conference
Telecommunications and Signal Processing, TSP-2003
ISBN
80-214-2433-8
Publisher
VUT Brno
Place
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"
}
Departments
Department of Telecommunications (UTKO)
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