@InProceedings{7362856,
  author = {T. Ben-Jabeur and A. Kadri},
  booktitle = {2015 23rd European Signal Processing Conference (EUSIPCO)},
  title = {Design of a new high-energy concentration kernel quadratic TFD for EEG spike signal},
  year = {2015},
  pages = {2606-2610},
  abstract = {In this paper, the design of a novel high-energy concentration kernel quadratic TFD for EEG spike signal analysis is presented. Firstly, we show that the suppression of the negative frequency of the signal due of the use of Hilbert transform causes low Time-Frequency Distribution (TFD) resolution in the very low frequency band. To remedy this artifact, a frequency shifting of the signal to the mid frequency band is used so that the negative and positive frequencies are taken into account in the time-frequency domain. This process enhances the TFD resolution in the very low frequency band. Secondly, we derived a new separable kernel TFD with a high auto-terms energy concentration based on the localization of the auto-terms and cross-terms of the EEG spike signal in the ambiguity domain. The proposed kernel uses only two parameters and offers high TFD resolution compared to the existing ones.},
  keywords = {electroencephalography;Hilbert transforms;medical signal processing;EEG spike signal analysis;time-frequency distribution;high-energy concentration kernel quadratic TFD;negative frequency suppression;Hilbert transform;time-frequency domain;ambiguity domain;electroencephalography;Kernel;Electroencephalography;Signal resolution;Time-frequency analysis;Doppler effect;Transforms;EEG Spike signal;Quadratic TFD;Auto-terms and cross-terms},
  doi = {10.1109/EUSIPCO.2015.7362856},
  issn = {2076-1465},
  month = {Aug},
  url = {https://www.eurasip.org/proceedings/eusipco/eusipco2015/papers/1570105443.pdf},
}

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To remedy this artifact, a frequency shifting of the signal to the mid frequency band is used so that the negative and positive frequencies are taken into account in the time-frequency domain. This process enhances the TFD resolution in the very low frequency band. Secondly, we derived a new separable kernel TFD with a high auto-terms energy concentration based on the localization of the auto-terms and cross-terms of the EEG spike signal in the ambiguity domain. 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Kadri},\n booktitle = {2015 23rd European Signal Processing Conference (EUSIPCO)},\n title = {Design of a new high-energy concentration kernel quadratic TFD for EEG spike signal},\n year = {2015},\n pages = {2606-2610},\n abstract = {In this paper, the design of a novel high-energy concentration kernel quadratic TFD for EEG spike signal analysis is presented. Firstly, we show that the suppression of the negative frequency of the signal due of the use of Hilbert transform causes low Time-Frequency Distribution (TFD) resolution in the very low frequency band. To remedy this artifact, a frequency shifting of the signal to the mid frequency band is used so that the negative and positive frequencies are taken into account in the time-frequency domain. This process enhances the TFD resolution in the very low frequency band. 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