Detail publikace

Self-othogonalizing Adaptive Filters using Discrete Cosine Transform

MALENOVSKÝ, V., VONDRA, M., ZEZULA, R.

Originální název

Self-othogonalizing Adaptive Filters using Discrete Cosine Transform

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální 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.

Klíčová slova v angličtině

adaptive, DCT, orthogonal, signal processing, LMS, computational complexity

Autoři

MALENOVSKÝ, V., VONDRA, M., ZEZULA, R.

Vydáno

1. 9. 2003

Nakladatel

VUT Brno

Místo

Brno, Česká Republika

ISBN

80-214-2433-8

Kniha

Proceedings of the Conference TSP'2003

Číslo edice

první

Strany od

96

Strany do

99

Strany počet

4

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"
}