List of Publications of Hichem Snoussi

Current Work
Blind Source Separation
Collaborative Sensor Networks
Biomedical Signal Processing
Statistical Classification
Information Geometry
Astronomical Imaging
Technical Reports
PhD Thesis

    Current Work


      Advanced Signal/Video Processing Techniques in Collaborative Wireless Sensor Networks

      The aim of this project is to develop and implement distributed advanced data processing techniques in a wireless sensor network. These techniques are based on efficient information exchange strategies, local data processing and a robust fusion rule. Many approaches are being investigated: Machine learning, Bayesian statistics, Interval Calculus, Deep Learning,...


      Differential and Algebraic Geometry in Image and Signal Processing

      Blind Source Separation

      Biomedical Signal Processing

      Astronomical Imaging

      Gamma Ray Detection

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      For recent publications see My Google Scholar Profile

      Collaborative Sensor/Camera Networks (before 2011)

    1. F. Mourad, H. Snoussi and C. Richard, `` Interval-based localization using RSSI comparison in MANETs '', accepted for IEEE Trans. on Aeronotics and Electronic Systems, 2011.
    2. F. Mourad, H. Snoussi, F. Abdallah and C. Richard, `` A robust localization algorithm for mobile sensors using belief functions '', accepted for IEEE Trans. on Vehicular Technology, 2011.
    3. MANSOURI, M., OUACHANI, I., SNOUSSI, H., et RICHARD, C. ``` Adaptive Quantized Target Tracking in Wireless Sensor Networks '', accepted in ACM Wireless Networks (WINET), 2011.
    4. MANSOURI, M., SNOUSSI, H., et RICHARD, C. ``` Channel estimation and Quantized Target Tracking in Wireless Sensor Networks '', accepted in IET Wireless Sensor Systems (WSS), 2011.
    5. TENG, J., SNOUSSI, H. and RICHARD, C. ``` Collaborative Multi-target Tracking in Wireless Sensor Networks. '', accepted in International Journal of Systems Science, 2011.
    6. ZHOU, Y., SNOUSSI, H., ZHENG, S., et SMACH, F. ``` Visual Human Tracking in Wireless Cameras Networks. A SURF-based approach '', in ANG, .-K., Visual Information Processing in Wireless Sensor Networks: Technology, Trends and Applications, 2011
    7. MANSOURI, M., et SNOUSSI, H., TENG, J., OUACHANI, I., et RICHARD, C. ``` Quantized Variational Filtering for Bayesian Inference in Wireless Sensor Networks. '', in ANG, .-K., Visual Information Processing in Wireless Sensor Networks: Technology, Trends and Applications, 2011
    8. MANSOURI, M., SARDOUK, A., MERGHEM-BOULAHIA, L., GAITI, D., SNOUSSI, H., RAHIM, R., et RICHARD, C. ``` Factors That May Influence the Performance of Wireless Sensor Networks. '', In: GORAN, B. IN-TECH, Smart Wireless Sensor Networks. 2010.
    9. MANSOURI, M., KHOUKHI, L., SNOUSSI, H., et RICHARD, C. ``` Routing Optimization and Secure Target tracking in Wireless Sensor Networks '',In: NOOR, Z., AZWEEN, .-B., et RAGAB, K. IGI global, book: Wireless Sensor Network and Energy efficiency: Protocols, Routing and Management, 2011.
    10. MANSOURI, M., SNOUSSI, H., et RICHARD, C. ``` Robust Distributed Target Tracking in Wireless Sensor Networks Based on Multi-Objective Optimization '', SSP, June 2011, Nice, France.
    11. F. Mourad, H. Snoussi, F. Abdallah and C. Richard ``` Interval-based localization for mobile sensors in low-anchors density networks '', IEEE IWCMC 2011, July 5-8, 2011, Istanbul, Turkey.
    12. MANSOURI, M., SNOUSSI, H., et RICHARD, C. ``` Secure Quantized Target Tracking in Wireless Sensor Networks '', IEEE IWCMC 2011, July 5-8, 2011, Istanbul, Turkey.
    13. MANSOURI, M., SNOUSSI, H., et RICHARD, C. ``` Optimal Path Selection for Quantized Target Tracking in Distributed Sensor Networks '', IEEE IWCMC 2011, July 5-8, 2011, Istanbul, Turkey.
    14. Farah Mourad, Hicham Chehade, Hichem Snoussi, Farouk Yalaoui, Lionel Amodeo and Cédric Richard. ``` A single-target tracking algorithm in controlled mobility sensor networks '', WOSSPA 2011, May 9-11, 2011, Tipaza, Algeria.
    15. A. Miraoui, K. Mabrouk, H. Snoussi, A. Amerhaye and J. Duchene. ``` A LARGE SCALE AND LOWCOST SOLUTION FOR REAL-TIME INDOOR LOCALISATION BASED ON WIRELESS SENSOR NETWORK '', WOSSPA 2011, May 9-11, 2011, Tipaza, Algeria.
    16. TENG, J., SNOUSSI, H. and RICHARD, C. ``` Decentralized Variational Filtering for Target Tracking in Binary Sensor Networks. '', accepted in IEEE Transactions on Mobile Computing, 2010.
    17. TENG, J., SNOUSSI, H. and RICHARD, C. ``` Prediction-based Cluster Management for Target Tracking in Wireless Sensor Networks '', accepted in Journal of Wireless Communications and Mobile Computing, 2010.
    18. P. Honeine, C. Richard, H. Snoussi, J-C. Moreira Bermudez and J. Chen, ``` A decentralized approach for nonlinear prediction of time series data in sensor networks '', accepted in EURASIP Journal on Wireless Communications and Networking, 2010.
    19. MANSOURI, M., OUACHANI, I., SNOUSSI, H. and RICHARD, C. ```Cramer-Rao bound-based quantization for target tracking in wireless sensor networks. '', IEEE SSP'09, 31-3 September 2009, Cardiff, UK.
    20. MOURAD, F., SNOUSSI, H., ABDALLAH, F. and RICHARD, C. ``` Localisation par intervalles basée sur les ancres et les non-ancres dans les réseaux de capteurs mobiles '', Gretsi'09, Dijon, September 2009 (in French).
    21. TENG, J., SNOUSSI, H. and RICHARD, C. ``` Auto-localisation et suivi de cible simultanés dans les réseaux de capteurs sans fil. '', Gretsi'09, Dijon, September 2009 (in French).
    22. ESSOLOH, M., HONEINE, P., RICHARD, C. and SNOUSSI, H. ``` Apprentissage parcimonieux non-linéaire en ligne dans les réseaux de capteurs sans fil. '', Gretsi'09, Dijon, September 2009 (in French).
    23. HONEINE, P., RICHARD, C. and SNOUSSI, H. ``` Auto-localisation dans les réseaux de capteurs sans fil par régression de matrices de Gram. '', Gretsi'09, Dijon, September 2009 (in French).
    24. F. Mourad, H. Snoussi, F. Abdallah and C. Richard, `` Anchor-based localization via interval analysis for mobile ad-hoc sensor networks '', accepted for IEEE Trans. on Signal Processing, 2009.
    25. H. Snoussi, J-Y. Tourneret, P. Djuric and C. Richard ``` Data-Driven Online Variational Filtering in Wireless Sensor Networks '', in ICASSP'09, 19-24 April 2009, Taipei, Taiwan.
    26. J. Teng, H. Snoussi and C. Richard ``` Decentralized Variational Filtering for Simultaneous Sensor Localization and Target Tracking in Binary Sensor Networks '', in ICASSP'09, 19-24 April 2009, Taipei, Taiwan.
    27. Paul Honeine, Cédric Richard, Jose Carlos M. Bermudez, Hichem Snoussi, Mehdi Essoloh, François Vincent, ``` Functional Estimation in Hilbert Space for Distributed Learning in Wireless Sensor Networks '', in ICASSP'09, 19-24 April 2009, Taipei, Taiwan.
    28. F. Mourad, H. Snoussi, F. Abdallah and C. Richard, `` Model-free interval-based localization in MANETs '', in IEEE DSP'09, 04-07 january 2009, Florida.
    29. P. Honeiné, M. Essoloh, C. Richard, H. Snoussi, `` Distributed regression in sensor networks with a reduced-order kernel model '', IEEE Globecom'08, 30-4 december 2008, New Orleans.
    30. F. Mourad, H. Snoussi, F. Abdallah and C. Richard, `` Guaranteed boxed localization in Manets by interval analysis and contraints propagation techniques '', IEEE Globecom'08, 30-4 december 2008, New Orleans.
    31. P. Honeiné, C. Richard, J-C. Bermudez and H. Snoussi, ``` Distributed prediction of time series data with kernels and adaptive filtering techniques in sensor networks '', in ASILOMAR'08, 26-29 October 2008, Pacific Grove. (invited paper)
    32. J. Teng, H. Snoussi and C. Richard ``` Variational filtering algorithm for interdependent target tracking and sensor localization in wireless sensor network '', in EUSIPCO'08, 25-29 august 2008, Lausanne
    33. M. Essoloh, C. Richard, H. Snoussi, and P. Honeiné, ``` Distributed localization in wireless sensor networks as a pre-image problem in a reproducing kernel Hilbert space '', in EUSIPCO'08, 25-29 august 2008, Lausanne
    34. P. Honeiné, M. Essoloh, C. Richard, H. Snoussi, `` Localization in sensor networks: a matrix regression approach '', in IEEE SAM'08, 21-23 July 2008, Darmsdatd.
    35. J. Teng, H. Snoussi and C. Richard ``` Prediction-Based Proactive Cluster Target Tracking Protocol For Binary Sensor Networks '', ISSPIT'07, Egypt, december, 2007.
    36. J. Teng, H. Snoussi and C. Richard ``` Binary Variational Filtering For Target Tracking in Sensor Networks '', IEEE Statistical Signal Processing (SSP'07), Madison, WI, August 2007.
    37. M. Essoloh, C. Richard and H. Snoussi ``` Anchor-Based Range-Free Distributed Localization in Wireless Sensor Networks '', IEEE Statistical Signal Processing (SSP'07), Madison, WI, August 2007.
    38. M. Essoloh, C. Richard and H. Snoussi ``` Localisation distribuée dans les réseaux de capteurs sans fil par résolution d'un problème quadratique '', Gretsi'07, Troyes, September 2007 (in French).
    39. H. Snoussi and C. Richard ``` Distributed Bayesian Fault Diagnosis of Jump Markov Systems in Wireless Sensor Networks '', International Journal of Sensor Networks IJSNet, 2007.
    40. H. Snoussi and C. Richard ``` Information-Theoretic Node Scheduling in Collaborative Sensor Networks '', ISSPA'07, UAE, Sharjah, February 2007
    41. H. Snoussi and C. Richard ``` Ensemble Learning Online Filtering in Wireless Sensor Networks '', IEEE ICCS International Conference on Communications Systems, Singapore, October, 2006.
    42. H. Snoussi and C. Richard ``` Bayesian Fault Diagnosis in Collaborative Wireless Sensor Networks '', IEEE GlobeCom, San Francisco, November 2006.

      43. Go to the Top

      Blind Source Separation

    43. Olivier Eches, Nicolas Dobigeon, Jean-Yves Tourneret, Hichem Snoussi `` Variational methods for spectral unmixing of hyperspectral images..'', IEEE ICASSP 2011, .
    44. H. Snoussi `` Efficient Bayesian Spectral Matching Separation in Noisy Mixtures..'', accepted in IEEE Trans. on Image Processing, 2009.
    45. H. Snoussi and A. Mohammad-Djafari ``Blind Image Separation '', Book chapter (in French) to appear in 2008.
    46. H. Snoussi, M.M. Ichir and A. Mohammad-Djafari ``Accounting for Number of Sources Uncertainty in Blind Source Separation '', Asilomar, 2006.
    47. H. Snoussi ``Fast MCMC Spectral Matching Separation in Noisy Gaussian Mixtures. Application to Astrophysics .'', IEEE ISCCSP, Marrakech, Morocco, 2006.
    48. H. Snoussi and J. Idier, ``Bayesian Blind Separation of Generalized Hyperbolic Processes in Noisy and Underdeterminate Mixtures .'', IEEE trans. Signal Processing, 2006.
    49. H. Snoussi and J. Idier, ``Blind Separation of Generalized Hyperbolic Processes: Unifying Approach to Stationary Non Gaussianity and Gaussian Non Stationarity .'', IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP'05, Vol.5, pp 229--232, March, 2005.
    50. H. Snoussi ``Information-Theoretic Approach to Joint Separation and Segmentation of Images. .'', ISSPA, Sydney, Australia, August, 2005
    51. H. Snoussi and A. Mohammad-Djafari, ``Fast joint separation and segmentation of mixed images .'', Journal of Electronic Imaging, Vol 13, N°2, April 2004, pp. 349--361
    52. H. Snoussi and A. Mohammad-Djafari, ``Rao Blackwell approximation for fast MCMC implementation of Bayesian blind source separation problems .'', Int. Symposium on Recent Advances in Mathematics and its Applications (ISRAMA 2003)}, December 2003, Calcutta Mathematical Society, Kolkata, India
    53. H. Snoussi and A. Mohammad-Djafari, ``Fast MCMC Joint Separation and Segmentation .'', in IEEE SSD'03, March 2003, Sousse, Tunisia.
    54. H. Snoussi and A. Mohammad-Djafari, ``Bayesian unsupervised learning for source separation with mixture of Gaussians prior.'', Journal of VLSI Signal Processing Systems for Signal, Image and Video Technology, vol. 37, number 2-3, pp 263-279, 2004.
    55. H. Snoussi and A. Mohammad-Djafari, ``Unsupervised learning for source separation with mixture of Gaussians prior for sources and Gaussian prior for mixture coefficients.'', in Neural Networks for Signal Processing XI, D.J. Miller, Ed. IEEE workshop, September 2001, pp. 293--302.
    56. H. Snoussi and A. Mohammad-Djafari, ``Bayesian separation of HMM sources'', in Bayesian Inference and Maximum Entropy Methods. R.~L. Fry, Ed. MaxEnt Workshops, Aug. 2001, pp. 77--88.
    57. H. Snoussi and A. Mohammad-Djafari, ``MCMC Joint Separation and segmentation of hidden Markov fields.'', in Neural Networks for Signal Processing XII, Ed. IEEE workshop, September 2002, pp. 485--494.
    58. H. Snoussi and A. Mohammad-Djafari, ``Séparation de sources par une approche bayésienne hiérarchique'', in Actes 18ème coll. GRETSI, Toulouse, France, September 2001.

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      Biomedical Signal Processing

    59. A. Miraoui, H. Snoussi and J. Duchene. ``` ON THE SURFACE EMG SIGNAL RECONSTRUCTION USING BLIND SOURCE SEPARATION '', WOSSPA 2011, May 9-11, 2011, Tipaza, Algeria.
    60. H. Snoussi, D. Hewson and J. Duchêne ```Nonlinear Chaotic Component Extraction for Postural Stability Analysis '', IEEE EMBS Conference, Minneapolis, Minnesota, USA, 2nd - 6th September, 2009. (Invited Paper) .
    61. N. Azzaoui, H. Snoussi and J. Duchêne ```An Enhanced Empirical Modal Decomposition without Sifting '', IEEE SSP'09, 31-3 September 2009, Cardiff, UK.
    62. N. Azzaoui, A. Miraoui, H. Snoussi and J. Duchêne ```Empirical Mode Decomposition for vectorial bi-dimensional signals '', NDS'09, June 29 to July 1, 2009, Thessaloniki, Greece.
    63. Ke LI, David J Hewson, Hichem Snoussi, Jacques Duchêne, Jean-Yves Hogrel ```Recurrence Quantification Analysis of Sustained Sub-Maximal Grip Force in Patients with Glycogen Storage Disease Type III '', 7th IFAC Symposium on Modelling and Control in Biomedical Systems, August 12 - 14, 2009, Aalborg, Denmark.
    64. Ram Bilas Pachori, David Hewson, Hichem Snoussi and J Duchêne, ``` Postural Time-Series Analysis Using Empirical Mode Decomposition and Second-Order Difference Plots '', in ICASSP'09, 19-24 April 2009, Taipei, Taiwan.
    65. D.Hewson, H. Snoussi, J.Duchêne and N. Singh `` Detection of the critical point interval of postural control strategy using wavelet transform analysis '', BIOSIGNALS 2009, Porto, Portugal Best Paper Award .
    66. R.B. Pachori, D. Hewson, H. Snoussi, and J. Duchêne, `` Analysis of center of pressure signals using empirical mode decomposition and Fourier-Bessel expansion '', Pro- ceedings IEEE Tencon Conference (TENCON), 18-21 November, 2008, Hyderabad, India.
    67. H. Amoud, H.Snoussi, D.Hewson and J.Duchêne `` One-class support vector machine for joint variable selection and detection of postural balance degradation '', EMBEC 2008
    68. H. Amoud, H.Snoussi, D.Hewson and J.Duchêne `` Intrinsic mode entropy for postural steadiness analysis '', EMBEC, 2008
    69. H. Amoud, H.Snoussi, D.Hewson and J.Duchêne `` Univariate and Bivariate Empirical Mode Decomposition for Postural Stability Analysis '', EURASIP Journal on Advances in Signal Processing, 2008
    70. H.Snoussi, S. Khanna, D.Hewson and J.Duchêne `` Number of Sources Uncertainty in Blind Source Separation. Application to EMG Signal Processing '', IEEE EMBC, Lyon, Aug. 2007
    71. H. Amoud, H.Snoussi, D.Hewson and J.Duchêne `` Hilbert-Huang Transformation: Application to Postural Stability Analysis '', IEEE EMBC, Lyon, Aug. 2007
    72. H. Amoud, H.Snoussi, D.Hewson and J.Duchêne `` Sélection de variables stabilométriques pour l'analyse et la détection de la dégradation de l'équilibre postural '', Gretsi'07, Troyes, September 2007 (in French).
    73. H.Snoussi, H. Amoud, M. Doussot, D.Hewson and J.Duchêne ``Reconctructed Phase Spaces of Intrinsic Mode Functions. Applications to Postural Steadiness Analysis '', IEEE EMBC, Aug. 2006
    74. H. Amoud, H.Snoussi, D.Hewson, M. Doussot and J.Duchêne ``Intrinsic Mode Entropy for Nonlinear Discriminant Analysis '', IEEE Signal Processing Letters, 2007.
    75. H. Snoussi and V. D. Calhoun ``Regularized Spectral Matching for Blind Source Separation. Application to fMRI Imaging .'', IEEE Trans. Signal Processing, special issue on "Signal Processing Aspects of Brain Imaging, Vol. 53, Issue 9, pp 3373--3383, September, 2005.
    76. H. Snoussi and V. D. Calhoun ``Bayesian Spectral Matching for Blind Source Separation in fMRI Imaging. .'', IEEE International Conference on Image Processing, ICIP'05, September, 2005.
    77. H. Snoussi and V. D. Calhoun ``Bayesian Blind Source Separation for Brain Imaging. .'', IEEE International Conference on Electronic Sciences,Information Technology and Telecommunication, SETIT, March 2005

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      Statistical Classification

    78. YOUNES, Z., ABDALLAH, F., DENOEUX , T., et SNOUSSI, H., `` A dependent multi-label classification method derived from the k-nearest neighbor rule. '', Eurasip Journal on Advances in Signal Processing, 2011
    79. H. Snoussi and A. Mohammad-Djafari, `` Estimation of Structured Gaussian Mixtures: the Inverse EM Algorithm '', IEEE Trans. Signal Processing, Volume 55, Issue 7, July 2007, Page(s) :3185 - 3191
    80. H. Snoussi and A. Mohammad-Djafari, ``Penalized maximum likelihood for multivariate Gaussian mixture'', in Bayesian Inference and Maximum Entropy Methods. R.~L. Fry, Ed. MaxEnt Workshops, Aug. 2001, pp 36--46.
    81. H. Snoussi, A. Seghouane, A. Mohammad-Djafari and G. Fleury, ``Learning in presence of input noise using the stochastic EM algorithm'', in Bayesian Inference and Maximum Entropy Methods. MaxEnt Workshops, Aug. 2002, pp 135--149.

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      Bayesian Information Geometry

    82. F. Abdallah, H. Laanaya, H. Snoussi and C. Richard ``Learning General Gaussian Kernel Hyperparameters of SVMs using Optimization on Symmetric Positive-Definite Matrices Manifold'', in Pattern Recognition Letters, 2011
    83. H. Snoussi and C. Richard ``Monte Carlo Tracking on the Riemannian Manifold of Multivariate Normal Distributions. '', in IEEE DSP'09, 04-07 january 2009, Florida (Invited Paper)
    84. H. Snoussi ``Bayesian Information Geometry. Application to Prior Selection on Statistical Manifolds '', in P.W. Hawkes, Advances in Imaging and Electron Physics, 2007
    85. H. Snoussi and A. Mohammad-Djafari ``Particle Filtering on Riemannian Manifolds '', in Bayesian Inference and Maximum Entropy Methods. MaxEnt Workshops, July 2006,.
    86. H. Snoussi ``Geometry of Prior Selection .'', NeuroComputing, special issue on "Geometrical Methods in Neural Networks and Learning", Vol. 67, pp 214--244, 2005.
    87. H. Snoussi and A. Mohammad-Djafari ``Information geometry and Prior Selection.'', in Bayesian Inference and Maximum Entropy Methods. MaxEnt Workshops, Aug. 2002, pp 307--327.
    88. H. Snoussi and A. Mohammad-Djafari ``Sélection d'a priori et géométrie de l'information.'', in IEEE International Conference on Electronic Sciences,Information Technology and Telecommunication, SETIT, March 2003, Mahdia, Tunisia.

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      Astronomical Imaging

    89. H. Snoussi, G. Patanchon, J. Macias-Pérez, A. Mohammad-Djafari, and J. Delabrouille, ``Bayesian blind component separation for cosmic microwave background observations.'', in Bayesian Inference and Maximum Entropy Methods. MaxEnt Workshops, August 2001, Amer. Inst. Physics, pp 125--140
    90. J.F. Cardoso, H. Snoussi, J. Delabrouille and G. Patanchon, ``Blind separation of noisy Gaussian stationary sources. Application to cosmic microwave background imaging.'', in Eusipco 2002, Toulouse, september 2002.
    91. G. Patanchon, H. Snoussi, J.F. Cardoso and J. Delabrouille , ``Component separation for cosmic microwave background data: a blind approach based on spectral diversity.'', PSIP 2003, Grenoble, january 2003.
    92. G. Patanchon, H. Snoussi, J.F. Cardoso and J. Delabrouille , ``Séparation de composantes pour la mesure des anisotropies du fond diffus cosmologique: Une approche en aveugle basée sur la diversité spectrale.'', A paraître dans REE (Revue de l'Electricité et de l'Electronique), N°6, Juin-Juillet 2003 .

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      Technical reports

    93. ``Degeneracy and Likelihood Penalization in Multivariate Gaussian Mixture Models .'', Technical report, ISTIT/M2S, University of Technology of Troyes, 2005.
    94. H. Snoussi and Ali Mohammad-Djafari, ``Approche bayésienne en séparation de sources ,'' rapport de stage du DEA-ATS, GPI-LSS, Gif-sur-Yvette, France, juin 2000.

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      Ph.D. Thesis

    95. H. Snoussi, ``Approche bayésienne en séparation de sources. Applications en imagerie .'' Ph.D. Thesis, University of Paris Sud, Orsay, September 2003 (in French).
      96. Introduction
      Bayesian Approach
      Temporal non Stationarity
      Spatial non Stationarity
      Spectral non Stationarity
      Degeneracy of Maximum Likelihood
      Geometric Prior Selection
      Conclusion and Perspectives

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      Last edited, May 2005, by  Hichem Snoussi