Search Results - "Bobillet, W."

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  1. 1

    Speech Enhancement Combining Optimal Smoothing and Errors-In-Variables Identification of Noisy AR Processes by Bobillet, W., Diversi, R., Grivel, E., Guidorzi, R., Najim, M., Soverini, U.

    Published in IEEE transactions on signal processing (01-12-2007)
    “…In the framework of speech enhancement, several parametric approaches based on an a priori model for a speech signal have been proposed. When using an…”
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    Journal Article
  2. 2

    Errors-In-Variables-Based Approach for the Identification of AR Time-Varying Fading Channels by Jamoos, A., Grivel, E., Bobillet, W., Guidorzi, R.

    Published in IEEE signal processing letters (01-11-2007)
    “…This letter deals with the identification of time-varying Rayleigh fading channels using a training sequence-based approach. When the fading channel is…”
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    Journal Article
  3. 3

    Cancelling convolutive and additive coloured noises for speech enhancement by Bobillet, W., Grivel, E., Guidorzi, R., Najim, M.

    “…In the framework of speech enhancement, many approaches have been developed when the speech signal is only corrupted by additive noise. However, in an…”
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    Conference Proceeding
  4. 4

    Frequency domain errors-in-variables approach for two-channel SIMO system identification by Bobillet, W., Grivel, E., Serban, I., Capizzano, S. Serra

    “…This paper deals with the blind identification of the variances of the additive noises in a two-channel SIMO system. They are estimated by using a frequency…”
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    Conference Proceeding
  5. 5

    Noisy speech dereverberation as a SIMO system identification issue by Bobillet, W., Grivel, E., Guidorzi, R., Najim, M.

    “…This paper deals with the speech dereverberation issue based on a single input multiple output (SIMO) system, when the reverberations are modeled by finite…”
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    Conference Proceeding
  6. 6

    Cancelling convolutive and additive noises for speech enhancement by Bobillet, W., Grivel, E., Guidorzi, R., Najim, M.

    “…In the framework of speech enhancement, many approaches have been developed when the speech signal is embedded in an additive noise, white or coloured. In this…”
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    Conference Proceeding
  7. 7

    Identification of Time-Varying Frequency-Flat Rayleigh Fading Channels Based on Errors-In-Variables Approach by Jamoos, A., Bobillet, W., Grivel, E., Nour, H.A., Najim, M.

    “…This paper deals with the identification of time-varying frequency-flat Rayleigh fading channels disturbed by an additive white Gaussian noise, using a…”
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    Conference Proceeding