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Journal Article

  1. [GUEP-17]“Discrimination between emboli and artifacts for outpatient transcranial Doppler ultrasound data”, Medical & Biological Engineering & Computing, pp. 1-11, 2017.PDF icon Medical_&_Biological_Engineering_&_Computing_2016.pdf (1.54 MB)
  2. [GASS-17]“High-Quality Plane Wave Compounding using Convolutional Neural Networks”, IEEE Transactions on Ultrasonics, Ferroelectricity and Frequency Control, vol. 64, pp. 1637-1639, 2017.
  3. [HUI-14]“Gaussian Noise Time-Varying Power Spectrum Estimation With Minimal Statistics”, IEEE Transactions on Signal Processing, vol. 62, pp. 5892 - 5906, 2014.
    http://ieeexplore.ieee.org/document/6894623/http://xplorestaging.ieee.org/ielx7/78/6933961/06894623.pdf?arnumber=6894623
  4. [MIL-12]“Sparse Detection in the Chirplet Transform: Application to FMCW Radar Signals”, IEEE Transactions on Signal Processing, vol. 60, pp. 2800 - 2813, 2012.
    http://ieeexplore.ieee.org/document/6168855/http://xplorestaging.ieee.org/ielx5/78/6198804/06168855.pdf?arnumber=6168855
  5. [MIL-11]“Circularity of the STFT and Spectral Kurtosis for Time-Frequency Segmentation in Gaussian Environment”, Signal Processing, IEEE Transactions on, vol. 59, pp. 515 -524, 2011.
  6. [LIN-09]“Time-Frequency and Time-Scale analysis of Barkhausen noise signals”, Journal Proceedings of the Institution of Mechanical Engineers, 2009.
  7. [HUI-08]“On the Description of Spectrogram Probabilities With a Chi-Squared Law”, IEEE Transactions on Signal Processing, vol. 56, pp. 2249-2258, 2008.

Conference Paper

  1. [KARK-17b]“IRREGULAR SPIRAL ACQUISITION FOR COMPRESSIVE SENSING IN MRSI ”, in 25th Annual meeting of the ISMRM, Honolulu, Hawaï, USA, 2017.
  2. [KARK-17a]“Imagerie spectroscopique spirale et compressed sensing”, in SFRMBM, Bordeaux, FRANCE, 2017.
  3. [KARK-17c]“Time Samples Selection in Spiral Acquisition for Sparse Magnetic Resonance Spectroscopic Imaging”, in IEEE International Conference on Image Processing, ICIP'17, Beijing, China, 2017, pp. 4128–4131.
  4. [MIL-17]“Estimation des paramètres d'un bruit gaussien généralisé basée sur le kurtosis des statistiques minimales”, in Gretsi, Juan-les-Pins, 2017.PDF icon gretsi_2017_millioz.pdf (279.45 KB)
  5. [GUEP-15b]B. K. Guépié, Sciolla, B., Millioz, F., Ramassamy, R., Pinatel, E., Almar, M., Guibert, B., and Delachartre, P., “Time-frequency Blood Flow Parameters Estimation for Micro-emboli Detection”, in IEEE ISPA , Zagreb, Croatie, 2015.PDF icon article_ipsa2015.pdf (1.24 MB)
  6. [YAG-14]“A low-complexity sub-Nyquist sampling system for wideband Radar ESM receivers”, in ICASSP 2014 - 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Florence, Italy, 2014, pp. 1788 - 1792.
    http://ieeexplore.ieee.org/document/6853906/http://xplorestaging.ieee.org/ielx7/6844297/6853544/06853906.pdf?arnumber=6853906
  7. [MIL-11]“Detection and segmentation of FMCW radar signals based on the chirplet transform”, in Proceedings of IEEE Conference on Acoustics, Speech and Signal Processing, Prague, Czech Republic, 2011.
  8. [MIL-10]“Estimation of a white Gaussian noise in the Short Time Fourier Transform based on the spectral kurtosis of the minimal statistics: application to underwater noise”, in Proceedings of IEEE Conference on Acoustics, Speech and Signal Processing, Dallas, Texas, USA, 2010.
  9. [ZIM-10a]“A procedure of vibration analysis from planetary gearbox under non-stationary cyclic operations by instantaneous frequency estimation in time-frequency domain”, in CM 2010 and MFPT 2010, Stratford-upon-Avon, United Kingdom, 2010.
  10. [ZIM-10b]“Measurement of instantaneous shaft speed by advanced vibration signal processing- application to wind turbine gearbox”, in 11th IMEKO Workshop on Smart Diagnostics of Structure, Poland, 2010.
  11. [MIL-09]“Estimation de la densité spectrale de puissance d'un bruit gaussien basée sur le kurtosis des statistiques minimales”, in 22e colloque GRETSI sur le traitement du signal et des images, Dijon, France, 2009.
  12. [MIL-07b]“Reassignment Vector Field for Time-Frequency Segmentation”, in Proceedings of International Congress on Sound and Vibration 14, Cairns, Australia, 2007.
  13. [MIL-07a]“Réallocation du spectrogramme pour la détection de frontières de motifs temps-fréquence”, in 21e colloque GRETSI sur le traitement du signal et des images, Troyes, France, 2007.
  14. [MIL-06b]“Time-Frequency Segmentation for Engine Speed Monitoring”, in Proceedings of International Congress on Sound and Vibration 13, Vienna, Austria, 2006.
  15. [MIL-06a]“Short Time Fourier Transform Probability Distribution for Time-Frequency Segmentation”, in Proceedings of IEEE Conference on Acoustics, Speech and Signal Processing, Toulouse, France, 2006.
  16. [HUI-06]“On the Probability Distributions of Spectrogram Coefficients for Correlated Gaussian Process”, in Proceedings of IEEE Conference on Acoustics, Speech and Signal Processing, Toulouse, France, 2006.
  17. [MIL-06c]“Detection of the boundaries of time-frequency patterns with a reassignment-based method”, in Proceedings of the Seventh International Conference on Mathematics in Signal Processing, Cirencester, England, 2006.