Phase Reassignment with Efficient Estimation of Phase Difference

Akesson, MariaLund University,Lunds universitet,Matematisk statistik,Matematikcentrum,Institutioner vid LTH,Lunds Tekniska Högskola,Mathematical Statistics,Centre for Mathematical Sciences,Departments at LTH,Faculty of Engineering, LTH (författare)

The recently developed Matched Phase Reassignment (MPR) gives a time-frequency local measure of phase difference between short oscillatory transient signals. However, the resulting phase estimate is not satisfactory as it has poor resolution for high oscillatory frequencies. The MPR is also sensitive to high noise levels and is computationally cumbersome. In this paper, a novel reassignment method for phase difference estimation is proposed and evaluated. In comparison to the MPR the accuracy is increased and the computational time is reduced. Simulations show that the proposed technique also outperforms state-of-the-art methods in terms of efficiency. An illustrative example of phase difference estimates of the electrical signals measured from the brain is included.

Sandsten, MariaLund University,Lunds universitet,Statistical Signal Processing Group,Forskargrupper vid Lunds universitet,Matematisk statistik,Matematikcentrum,Institutioner vid LTH,Lunds Tekniska Högskola,LTH profilområde: Nanovetenskap och halvledarteknologi,LTH profilområden,LTH profilområde: AI och digitalisering,LTH profilområde: Teknik för hälsa,Lund University Research Groups,Mathematical Statistics,Centre for Mathematical Sciences,Departments at LTH,Faculty of Engineering, LTH,LTH Profile Area: Nanoscience and Semiconductor Technology,LTH Profile areas,Faculty of Engineering, LTH,LTH Profile Area: AI and Digitalization,Faculty of Engineering, LTH,LTH Profile Area: Engineering Health,Faculty of Engineering, LTH(Swepub:lu)tde-mha (författare)
Matematisk statistikMatematikcentrum (creator_code:org_t)

Ingår i:30th European Signal Processing Conference, EUSIPCO 2022 - Proceedings2022-August, s. 2126-21302219-54919789082797091

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