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MALENOVSKÝ, V., VONDRA, M., ZEZULA, R.
Original Title
Self-othogonalizing Adaptive Filters using Discrete Cosine Transform
Type
conference paper
Language
English
Original 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.
Key words in English
adaptive, DCT, orthogonal, signal processing, LMS, computational complexity
Authors
Released
1. 9. 2003
Publisher
VUT Brno
Location
Brno, Česká Republika
ISBN
80-214-2433-8
Book
Proceedings of the Conference TSP'2003
Edition number
první
Pages from
96
Pages to
99
Pages count
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" }