Philip Olivier

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The purpose of this paper is to compare the performance of two common filters operating on noisy speech recorded in automobiles travelling at various speeds. The filters are based on Spectral Subtraction (SS) and Kalman Filtering (KF). The literature contains studies based on simulated data whereas this paper uses real time data collected in car's in search(More)
This paper provides a detailed comparison study between three different vehicles' Bluetooth built-in noise cancellation filter with two widely used techniques in speech enhancement, Spectral Subtraction (SS) and Wiener filtering (WF). The main purpose is to determine if any of these two filters provide superior audio quality over the built-in filter. In(More)
PURPOSE Head motion during PET brain imaging can cause significant degradation of image quality. Several authors have proposed ways to compensate for PET brain motion to restore image quality and improve quantitation. Head restraints can reduce movement but are unreliable; thus the need for alternative strategies such as data-driven motion estimation or(More)
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