Search Results - "Doncarli, C."

Compression of Biomedical Signals With Mother Wavelet Optimization and Best-Basis Wavelet Packet Selection by Brechet, Laurent, Lucas, Marie-FranÇoise, Doncarli, Christian, Farina, Dario

“…We propose a novel scheme for signal compression based on the discrete wavelet packet transform (DWPT) decompositon. The mother wavelet and the basis of…”
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An online kernel change detection algorithm by Desobry, F., Davy, M., Doncarli, C.

“…A number of abrupt change detection methods have been proposed in the past, among which are efficient model-based techniques such as the Generalized Likelihood…”
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Two contributions to blind source separation using time-frequency distributions by Fevotte, C., Doncarli, C.

“…We present two improvements/extensions of a previous deterministic blind source separation (BSS) technique, by Belouchrani and Amin, that involves…”
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Blind separation of linear instantaneous mixtures of nonstationary surface myoelectric signals by Farina, D., Fevotte, C., Doncarli, C., Merletti, R.

“…Electromyographic (EMG) recordings detected over the skin may be mixtures of signals generated by different active muscles due to the phenomena related to…”
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Optimized Wavelets for Blind Separation of Nonstationary Surface Myoelectric Signals by Farina, Dario, Lucas, Marie-FranÇoise, Doncarli, Christian

“…Surface electromyography (EMG) signals detected over the skin surface may be mixtures of signals generated by many active muscles due to poor spatial…”
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Nursing home admission of aging HIV patients: Challenges and obstacles for medical and nursing staffs by Naudet, D, De Decker, L, Chiche, L, Doncarli, C, Ho-Amiot, V, Bessaud, M, Alitta, Q, Retornaz, F

“…Abstract Objectives HIV infection became a chronic illness. People can live with it for many years, with multiple comorbid conditions, frailty syndrome, and…”
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Asthenia, weight loss in a 55 year-old woman by Stavris, C, Chiche, L, Charpin, C, Dukan, P, Doncarli, C, Drouet, H, Delord, M, Renard, L, Allemand, J, Caillères, S, Talbi, N, Halfon, P, Retornaz, F, Servettaz, A

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Signal-dependent wavelets for electromyogram classification by Maitrot, A, Lucas, M F, Doncarli, C, Farina, D

“…In the study, an efficient method to perform supervised classification of surface electromyogram (EMG) signals is proposed. The method is based on the choice…”
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Signal-dependent wavelets for electromyogram classification by Maitrot, A., Lucas, M.-F., Doncarli, C., Farina, D.

“…The online version of the original article can be found under doi: 10.1007/BF02344730…”
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Stationarity index for abrupt changes detection in the time-frequency plane by Laurent, H., Doncarli, C.

“…This paper presents a new method based on time frequency representations (TFRs) for detecting abrupt changes in non-stationary noisy signals, Stationarity…”
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Improved optimization of time-frequency-based signal classifiers by Davy, M., Doncarli, C., Boudreaux-Bartels, G.F.

“…Time-frequency representations (TFRs) are efficient tools for nonstationary signal classification. However, the choice of the TFR and of the distance measure…”
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Classification of chirp signals using hierarchical Bayesian learning and MCMC methods by Davy, M., Doncarli, C., Tourneret, J.-Y.

“…This paper addresses the problem of classifying chirp signals using hierarchical Bayesian learning together with Markov chain Monte Carlo (MCMC) methods…”
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The European project 'Neuromuscular assessment in the elderly worker' (NEW): achievements in electromyogram signal acquisition, modelling and processing by Merletti, R, Benvenuti, F, Doncarli, C, Disselhorst-Klug, C, Ferrabone, R, Hermens, H J, Kadefors, R, Läubli, T, Orizio, C, Sjøgaard, G, Zazula, D

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Supervised classification using MCMC methods by Davy, M., Doncarli, C., Tourneret, J.-Y.

“…This paper addresses the problem of supervised classification using general Bayesian learning. General Bayesian learning consists of estimating the unknown…”
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Quand le loup sème le doute, le cochon perd la foi by Stavris, C., Chiche, L., Charpin, C., Dukan, P., Doncarli, C., Drouet, H., Delord, M., Renard, L., Allemand, J., Caillères, S., Talbi, N., Halfon, P., Retornaz, F., Servettaz, A.

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Detection of human reflex response in EMG signals: a time-frequency approach by Laurent, H., Doncarli, C., Guglielmi, M.

“…The paper presents a new method based on time-frequency representations (TFRs) for detecting reflex activities in EMG signals of biceps brachii. A perturbed…”
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An optimal approach for random signals classification by Doncarli, C., Le Carpentier, E.

“…A method is proposed which solves the problem of the Bayes classification of ARMA (autoregressive moving average) signals when the models of classes and…”
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Optimal kernels of time-frequency representations for signal classification by Davy, M., Doncarli, C.

“…The use of distances between time-frequency representations (TFRs) has led to a time-frequency formulation of the problem of non-stationary signals…”
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Entering the Italian academic community: publish-and-perish rules by Doncarli, C, Ljubisavljevich, M, Merletti, R, Passatore, M, Windhorst, U, Zazula, D

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Abrupt changes detection in the time-frequency plane by Laurent, H., Doncarli, C.

“…This paper deals with a comparison between two new non-parametric methods for detecting abrupt spectral changes in non-stationary signals. The first one…”
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