FPGA Implementation of Wavelet Filters for DWMT Systems

Discrete Wavelet Multi-Tone (DWMT) systems acquired attention due to their high spectral efficiency and high data rates with respect to FFT-based multitone transmission systems. The complexity of the overall system is directly related to that of the elemental building block. In the literature, wavel...

Full description

Saved in:
Bibliographic Details
Published inKirkuk Journal of Science Vol. 11; no. 1; pp. 75 - 91
Main Authors I. Siddiq, Abdulrahman, M. Salih, Omar
Format Journal Article
LanguageEnglish
Published University of Kirkuk 28.03.2016
Subjects
Online AccessGet full text
ISSN2616-6801
1992-0849
3005-4788
2616-6801
3005-4796
DOI10.32894/kujss.2016.124398

Cover

More Information
Summary:Discrete Wavelet Multi-Tone (DWMT) systems acquired attention due to their high spectral efficiency and high data rates with respect to FFT-based multitone transmission systems. The complexity of the overall system is directly related to that of the elemental building block. In the literature, wavelet filters are designed subject to constraints for minimum interference. The structure of a Minimum Interference Wavelet Filter (MIWF) is very simple even for high filter orders. In this paper, DWMT systems using a two-branch wavelet filter bank in the transmitter and its inverse at the receiver are implemented using the Spartan XC3S1200E FPGA. The details of system implementation are presented for MIWF, Daubechies, and Coiflet wavelet filters. The tests show that, with respect to the other tested systems, the MIWF-based system is simpler, faster and capable to preserve its
ISSN:2616-6801
1992-0849
3005-4788
2616-6801
3005-4796
DOI:10.32894/kujss.2016.124398