Software

This page gives access to TeSA shared software.



Altimetry: estimation of the Sea Level Anomaly (SLA) slope

Altimetry: estimation of the Sea Level Anomaly (SLA) slope

TeSA is working on the estimation of Sea Level Anomaly (SLA) signal characteristics in collaboration with the CNES (French Space Agency), with a particular focus on slope spectral estimation. A new method called "ARWARP", combining frequency warping, autoregressive modeling and linear regression has been presented in IGARSS 2020, showning interesting performance, compared to the usual method based on the periodogram.

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SLA slope estimation

SLA slope estimation

Matlab software of IGARSS 2020 paper for SLA slope estimation using ARWARP method

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P and T wave detection and estimation in ECG signals

P and T wave detection and estimation in ECG signals

TeSA has brought his statistical signal processing expertise in electrocardiogram (ECG) processing, through the PhD of Chao Lin (July 2012). In order to help diagnosis, it is of interest to automatically analyze ECGs and to detect the different waveforms (P, QRS, T waves). Bayesian estimation/detection algorithms suitable for P and T wave analysis in ECG signals have been successfully proposed during the PhD. The freely available Matlab codes have been published in the IEEE Trans on Biomedical Engineering 2010 journal and at IEEE ICASSP 2011 conference.

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P and T wave detection and estimation

P and T wave detection and estimation

Matlab software for detection and estimation of P and T waves in ECG signals, corresponding to IEEE Tr Biomed Eng. 2010 and ICASSP 2011 papers (please read the readme.txt)

Related Publications

Activity Report

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ETTC 2020

Conference talk of Quentin Demoulin, TeSA PhD, at ETTC 2020

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ICL-GNSS 2020

Conference talks of Thomas Verheyde, TeSA PhD and Lorenzo Ortega, TeSA postdoc, at ICL-GNSS 2020

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ICC 2020

Conference talk of Adrien Thibaud, TeSA PhD, at ICC 2020

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