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MALENOVSKÝ, V., VONDRA, M., ZEZULA, R.
Originální název
Self-othogonalizing Adaptive Filters using Discrete Cosine Transform
Anglický název
Druh
Stať ve sborníku v databázi WoS či Scopus
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.
Anglický abstrakt
Klíčová slova v angličtině
adaptive, DCT, orthogonal, signal processing, LMS, computational complexity
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Vydáno
01.09.2003
Nakladatel
VUT Brno
Místo
Brno, Česká Republika
ISBN
80-214-2433-8
Kniha
Proceedings of the Conference TSP'2003
Svazek
1
Číslo
9
Strany od
96
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" }