Best Student Paper Award won by Julien Flamant at SSP 2018

on July 17, 2018

Julien Flamant, Pierre Chainais et Nicolas Le Bihan. Linear Filtering of biavriate signals using quaternions. IEEE Statistical Signal Processing Workshop. 10-13 juin 2018.

Reference: A new approach towards linear time-invariant (LTI) filtering of bivariate signals is proposed using a tailored quaternion Fourier transform. In the proposed framework LTI filters are naturally described by their eigenproperties providing eco- nomical, physically interpretable and straightforward filtering definitions in the frequency domain. It enables an easy design of LTI filters and a simple method for spectral synthesis of bivariate signals with prescribed frequency polarization properties. It also yields various natural decompositions of bivariate signals. Numerical experiments illustrate the approach. bivariate signal, polarization, LTI filtering, quaternion Fourier transform.

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