Publication
Improving Actigraph Sleep/Wake Classification with Cardio-Respiratory Signals
Publications associées (63)
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This paper presents a digital, transistor level implemented neo-fuzzy neural network. This type of neural network is particularly well suited for real-time applications like those encountered in signal processing and nonlinear system identification. We con ...
Technical University of Lodz2010Sleep and Wake Classification With ECG and Respiratory Effort Signals
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EPFL2009Adaptive Sleep/Wake Classification Based on Cardiorespiratory Signals for Wearable Devices
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IEEE Press2007Learning Multi-Modal Dictionaries
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Real-world phenomena involve complex interactions between multiple signal modalities. As a consequence, humans are used to integrate at each instant perceptions from all their senses in order to enrich their understanding of the surrounding world. This par ...
2007The Distributed Karhunen-Loève Transform
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2006Sampling innovations
Sampling theory has prospered extensively in the last century. The elegant mathematics and the vast number of applications are the reasons for its popularity. The applications involved in this thesis are in signal processing and communications and call out ...
EPFL2002Fast Fourier transforms: A tutorial review and a state of the art
The publication of the Cooley-Tukey fast Fourier transform (FIT) algorithm in 1965 has opened a new area in digital signal processing by reducing the order of complexity of some crucial computational tasks like Fourier transform and convolution from ...
1990