Cédric Richard

Cédric Richard was born in Sarrebourg, France, in 1970. He received the Dipl.-Ing. and the M.S. degrees in 1994 and the Ph.D. degree in 1998 from Compiègne University of Technology, France, all in electrical and computer engineering. From 1999 to 2003, he was an Associate Professor at Troyes University of Technology, France. Since 2003, he is a Professor at Charles Delaunay Institute (FRE CNRS 2848), Troyes University of Technology. His current research interests include statistical signal processing and machine learning. Dr. Richard is the author of over 70 papers. He is the General Chair of the XXIth francophone conference GRETSI on Signal and Image Processing to be held in Troyes, France, in 2007. In 2005, he was offered the position of chairman of a pattern recognition section of the federative CNRS research group ISIS on Information, Signal, Images and Vision. He is also in charge of the Ph.D. students network of this group. Cédric Richard is a Member of GRETSI association board, and of the EURASIP and IEEE-SP societies. He is also an Associate Editor of the IEEE Transactions on Signal Processing.

Biography Updated on 27 August 2007

Personal Home Page

http://www.cedric-richard.fr

Articles in Scholarly Journals [Incomplete List]

  1. IEEE Transactions on Signal Processing, vol. 56, no. 11, pp. 5713–5718, 2008
  2. Time-Frequency Learning Machines
    IEEE Transactions on Signal Processing, vol. 55, no. 7, pp. 3930–3936, 2007
  3. Nonlinear Regularized Wiener Filtering With Kernels: Application in Denoising MEG Data Corrupted by ECG
    IEEE Transactions on Signal Processing, vol. 54, no. 12, pp. 4796–4806, 2006
  4. Beyond Standard Classes of Generalized Joint Signal Representations of Arbitrary Variables: Mercer Kernel-Based Representations
    IEEE Signal Processing Letters, vol. 12, no. 1, pp. 25–28, 2005
  5. Adaptive Diffusion as a Versatile Tool for Time-Frequency and Time-Scale Representations Processing: A Review
    IEEE Transactions on Signal Processing, vol. 53, no. 11, pp. 4136–4146, 2005
  6. An Improved Training Algorithm for Nonlinear Kernel Discriminants
    IEEE Transactions on Signal Processing, vol. 52, no. 10, pp. 2798–2806, 2004
  7. Second-Order Measures of Quality for Binary Classification: A Critical Overview and their Use for Nonlinear Receiver Design
    International Journal of Smart Engineering System Design, vol. 5, no. 4, pp. 401–408, 2003
  8. Bayes-optimal detectors design using relevant second-order criteria
    IEEE Signal Processing Letters, vol. 9, no. 1, pp. 32–33, 2002
  9. Time-frequency-based detection using discrete-time discrete-frequency Wigner distributions
    IEEE Transactions on Signal Processing, vol. 50, no. 9, pp. 2170–2176, 2002
  10. Linear redundancy of information carried by the discrete Wigner distribution
    IEEE Transactions on Signal Processing, vol. 49, no. 11, pp. 2536–2544, 2001
  11. Optical near-field data analysis through time–frequency distributions: application to the characterization and separation of the image spectral content by reassignment
    Journal of the Optical Society of America A, vol. 17, no. 12, p. 2513, 2000
  12. Data-driven design and complexity control of time–frequency detectors
    Signal Processing, vol. 77, no. 1, pp. 37–48, 1999
  13. Joint Time and Time-Frequency Optimal Detection of K-Complexes in Sleep EEG
    Computers and Biomedical Research, vol. 31, no. 3, pp. 209–229, 1998
  14. Joint recursive implementation of time—frequency representations and their modified version by the reassignment method
    Signal Processing, vol. 60, no. 2, pp. 163–179, 1997