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Related publications (19)

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Efficient Schemes for Adaptive Frequency Tracking and their Relevance for EEG and ECG

Jérôme Sébastien Van Zaen

Amplitude and frequency are the two primary features of one-dimensional signals, and thus both are widely utilized to analysis data in numerous fields. While amplitude can be examined directly, frequency requires more elaborate approaches, except in the si ...

EPFL2012

Nonlinear dynamics of cardiovascular aging

The application of methods drawn from nonlinear and stochastic dynamics to the analysis of cardiovascular time series are applied with particular interests in the identification of changes associated with aging. Scale invariant and scale dependent approach ...

Lancaster University2007

Bayesian risk analysis of financial time series

Christophe Osinski

This thesis is a contribution to financial statistics. One of the principal concerns of investors is the evaluation of portfolio risk. The notion of risk is vague, but in finance it is always linked to possible losses. In this thesis, we present some measu ...

EPFL2006

Phase AutoCorrelation (PAC) derived Robust Speech Features

Hervé Bourlard, Hemant Misra, Shajith Ikbal

In this paper, we introduce a new class of noise robust acoustic features derived from a new measure of autocorrelation, and explicitly exploiting the phase variation of the speech signal frame over time. This family of features, referred to as ``Phase Aut ...

2003

Phase AutoCorrelation (PAC) derived Robust Speech Features

Hervé Bourlard, Hemant Misra, Shajith Ikbal

IDIAP2002

Non-stationary distributed source approximation: an alternative to improve localization procedures

Localization of the generators of the scalp measured electrical activity is particularly difficult when a large number of brain regions are simultaneously active. In this study, we describe an approach to automatically isolate scalp potential maps, which a ...

Wiley-Blackwell2001

Optimal segmentation techniques for piecewise stationary signals

Paolo Prandoni

The concept of stationarity is central to signal processing; it indeed guarantees that the deterministic spectral properties of linear time-invariant systems are also applicable to realizations of stationary random processes. In almost all practical settin ...

EPFL1999

Linear Autoregression for Prediction: Small Sample Inference

This paper describes inferences based on linear predictors for stationary time series. These methods are flexible, since relatively few assumptions are needed to fit a linear predictor. A confidence interval for the resulting predicted value, which takes a ...

1993

Effect of periodic process execution on radical polymerizations

Albert Renken

In the free-radical polymn. of styrene, a pulsed- or batch-type of polymn. process gave a higher space-time yield and efficiency than a stationary process at the same product mol. wt. and polydispersity. In the batch process, the range of av. mol. wt., con ...

Wiley-Blackwell1979