Search Results - "Torrésani, B"

Blind source separation and the analysis of microarray data by Chiappetta, P, Roubaud, M C, Torrésani, B

“…We develop an approach for the exploratory analysis of gene expression data, based upon blind source separation techniques. This approach exploits higher-order…”
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Time-frequency and time-scale analysis of deformed stationary processes, with application to non-stationary sound modeling by Omer, H., Torrésani, B.

“…A class of random non-stationary signals termed timbre×dynamics is introduced and studied. These signals are obtained by non-linear transformations of…”
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Detecting single-trial EEG evoked potential using a wavelet domain linear mixed model: application to error potentials classification by Spinnato, J, Roubaud, M-C, Burle, B, Torrésani, B

“…The main goal of this work is to develop a model for multisensor signals, such as magnetoencephalography or electroencephalography (EEG) signals that account…”
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Refined Support and Entropic Uncertainty Inequalities by Ricaud, B., Torresani, B.

“…Generalized versions of the entropic (Hirschman- Beckner) and support (Elad-Bruckstein) uncertainty principle are presented for frames representations…”
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Hybrid representations for audiophonic signal encoding by Daudet, L., Torrésani, B.

“…In this paper, we discuss a new approach for signal models in the context of audio signal encoding. The method is based upon hybrid models featuring…”
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Sparse Linear Regression With Structured Priors and Application to Denoising of Musical Audio by Fevotte, C., Torresani, B., Daudet, L., Godsill, S.J.

“…We describe in this paper an audio denoising technique based on sparse linear regression with structured priors. The noisy signal is decomposed as a linear…”
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Characterization of signals by the ridges of their wavelet transforms by Carmona, R.A., Hwang, W.L., Torresani, B.

“…The characterization and the separation of amplitude and frequency modulated signals is a classical problem of signal analysis and signal processing. We…”
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Multiridge detection and time-frequency reconstruction by Carmona, R.A., Hwang, W.L., Torresani, B.

“…The ridges of the wavelet transform, the Gabor transform, or any time-frequency representation of a signal contain crucial information on the characteristics…”
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Random Models for Sparse Signals Expansion on Unions of Bases With Application to Audio Signals by Kowalski, M., Torresani, B.

“…A new approach for signal expansion with respect to hybrid dictionaries, based upon probabilistic modeling is proposed and studied. The signal is modeled as a…”
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Asymptotic wavelet and Gabor analysis: extraction of instantaneous frequencies by Delprat, N., Escudie, B., Guillemain, P., Kronland-Martinet, R., Tchamitchian, P., Torresani, B.

“…The behavior of the continuous wavelet and Gabor coefficients in the asymptotic limit using stationary phase approximations are investigated. In particular, it…”
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A hybrid scheme for encoding audio signal using hidden Markov models of waveforms by Molla, S., Torrésani, B.

“…This paper reports on recent results related to audiophonic signals encoding using time-scale and time–frequency transform. More precisely, nonlinear,…”
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Determining local transientness of audio signals by Molla, S., Torresani, B.

“…We describe a new method for estimating the degree of "transientness" and "tonality" of a class of compound signals involving simultaneously transient and…”
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Rate matrices for analyzing large families of protein sequences by Devauchelle, C, Grossmann, A, Hénaut, A, Holschneider, M, Monnerot, M, Risler, J L, Torrésani, B

“…We propose and study a new approach for the analysis of families of protein sequences. This method is related to the LogDet distances used in phylogenetic…”
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Time-frequency and time-scale analysis of deformed stationary processes, with application to non-stationary sound modeling by Omer, H, Torrésani, B

“…A class of random non-stationary signals termed timbre x dynamics is introduced and studied. These signals are obtained by non-linear transformations of…”
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Detection of glitches and signal reconstruction using Hölder and wavelet analysis by Ordénovic, C., Surace, C., Torrésani, B., Llébaria, A.

“…We present a method based on a local regularity analysis for detecting and removing artefact signatures in noisy interferometric signals. Using Hölder and…”
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The travelling wavelets approach to gravitational instability theory: one-dimensional wavelets by Benhamidouche, N., Torrésani, B., Triay, R.

“…We apply the travelling wavelets method to gravitational instability theory for the investigation of large-scale structure formation in cosmology. As the first…”
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Low-energy light scattering: a multiple-scattering description by Chiappetta, P., Perrin, J. M., Torresani, B.

“…A multiple-scattering development is used to compute extinction, absorption and scattering cross-sections for arbitrarily shaped particles whose dimensions are…”
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A Class of Algorithms for Time-Frequency Multiplier Estimation by Olivero, A., Torresani, B., Kronland-Martinet, R.

“…We propose here a new approach together with a corresponding class of algorithms for offline estimation of linear operators mapping input to output signals…”
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Space-Time Extension of the MEM Approach for Electromagnetic Neuroimaging by Roubaud, Marie-Christine, Lina, Jean-Marc, Carrier, Julie, Torrésani, B

“…IEEE International Workshop on Machine Learning for Signal Processing, Sep 2018, Aalborg, Denmark The wavelet Maximum Entropy on the Mean (wMEM) approach to…”
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A method for optimizing the ambiguity function concentration by Feichtinger, H. G., Onchis-Moaca, D., Ricaud, B., Torresani, B., Wiesmeyr, C.

“…In the context of signal analysis and transformation in the time-frequency (TF) domain, controlling the shape of a waveform in this domain is an important…”
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