We would like to invite you on Scientific Seminar

Prof. Herve Rix from the University of Nice-Sophia Antipolis

will speak about:
"Noise reduction using Integral Shape Averaging"

The seminar will take place in S90 room, May 23th (wednesday) at 12:30 pm

Integral Shape Averaging (ISA) is a technique for averaging a series of positive signals using their normalized integrals. In case of equal shape signals, ISA gives an estimation of this shape with an increased SNR due to integration. A new application of ISA is presented here: from only one recording of a positive signal embedded in noise, applying ISA to a series of delayed windows containing the signal can give a good estimation of this signal. For further application to cognitive evoked potentials, simulation results are given on a double and then a triple Gaussian embedded in white zero mean noise, with different SNRs.