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  • Research Article
  • Open Access

Adaptive Optimal Kernel Smooth-Windowed Wigner-Ville Distribution for Digital Communication Signal

EURASIP Journal on Advances in Signal Processing20092008:408341

Received: 20 February 2008

Accepted: 18 November 2008

Published: 18 January 2009


Time-frequency distributions (TFDs) are powerful tools to represent the energy content of time-varying signal in both time and frequency domains simultaneously but they suffer from interference due to cross-terms. Various methods have been described to remove these cross-terms and they are typically signal-dependent. Thus, there is no single TFD with a fixed window or kernel that can produce accurate time-frequency representation (TFR) for all types of signals. In this paper, a globally adaptive optimal kernel smooth-windowed Wigner-Ville distribution (AOK-SWWVD) is designed for digital modulation signals such as ASK, FSK, and M-ary FSK, where its separable kernel is determined automatically from the input signal, without prior knowledge of the signal. This optimum kernel is capable of removing the cross-terms and maintaining accurate time-frequency representation at SNR as low as 0 dB. It is shown that this system is comparable to the system with prior knowledge of the signal.


Information TechnologyFrequency DomainPrior KnowledgeInput SignalQuantum Information

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Authors’ Affiliations

Department of Microelectronic and Computer Engineering, Universiti Teknologi Malaysia, Skudai, Malaysia


© J. L. Tan and A. Z. B. Sha’ameri. 2008

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.