Adaptive optimal kernel smooth-windowed wigner-ville distribution for digital communication signal
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...
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| Format: | Article |
| Language: | en |
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Hindawi Publishing Corporation
2008
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| Online Access: | http://eprints.utm.my/8230/1/Sha%27amerAhmadZuri2008_AdaptiveOptimalKernelSmooth-windowedWigner-villeDistributionforDigital.pdf http://eprints.utm.my/8230/ http://dx.doi.org/10.1155/2008/408341 |
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| _version_ | 1845471966696308736 |
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| author | Tan, J. L. Sha'ameri, Ahmad Zuri |
| author_facet | Tan, J. L. Sha'ameri, Ahmad Zuri |
| author_sort | Tan, J. L. |
| building | UTM Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknologi Malaysia |
| content_source | UTM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | 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 0dB. It is shown that this system is comparable to the system with prior knowledge of the signal.
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| format | Article |
| id | my.utm.eprints-8230 |
| institution | Universiti Teknologi Malaysia |
| language | en |
| publishDate | 2008 |
| publisher | Hindawi Publishing Corporation |
| record_format | eprints |
| spelling | my.utm.eprints-82302017-10-12T06:24:07Z http://eprints.utm.my/8230/ Adaptive optimal kernel smooth-windowed wigner-ville distribution for digital communication signal Tan, J. L. Sha'ameri, Ahmad Zuri TK Electrical engineering. Electronics Nuclear engineering 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 0dB. It is shown that this system is comparable to the system with prior knowledge of the signal. Hindawi Publishing Corporation 2008 Article PeerReviewed other en http://eprints.utm.my/8230/1/Sha%27amerAhmadZuri2008_AdaptiveOptimalKernelSmooth-windowedWigner-villeDistributionforDigital.pdf Tan, J. L. and Sha'ameri, Ahmad Zuri (2008) Adaptive optimal kernel smooth-windowed wigner-ville distribution for digital communication signal. EURASIP Journal on Advances in Signal Processing . ISSN 1687-6172 http://dx.doi.org/10.1155/2008/408341 10.1155/2008/408341 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Tan, J. L. Sha'ameri, Ahmad Zuri Adaptive optimal kernel smooth-windowed wigner-ville distribution for digital communication signal |
| title | Adaptive optimal kernel smooth-windowed wigner-ville distribution for digital communication signal
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| title_full | Adaptive optimal kernel smooth-windowed wigner-ville distribution for digital communication signal
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| title_fullStr | Adaptive optimal kernel smooth-windowed wigner-ville distribution for digital communication signal
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| title_full_unstemmed | Adaptive optimal kernel smooth-windowed wigner-ville distribution for digital communication signal
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| title_short | Adaptive optimal kernel smooth-windowed wigner-ville distribution for digital communication signal
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| title_sort | adaptive optimal kernel smooth-windowed wigner-ville distribution for digital communication signal |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://eprints.utm.my/8230/1/Sha%27amerAhmadZuri2008_AdaptiveOptimalKernelSmooth-windowedWigner-villeDistributionforDigital.pdf http://eprints.utm.my/8230/ http://dx.doi.org/10.1155/2008/408341 |
| url_provider | http://eprints.utm.my/ |