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Patrick J. Loughlin

Researcher at University of Pittsburgh

Publications -  201
Citations -  3929

Patrick J. Loughlin is an academic researcher from University of Pittsburgh. The author has contributed to research in topics: Instantaneous phase & Time–frequency analysis. The author has an hindex of 32, co-authored 196 publications receiving 3711 citations. Previous affiliations of Patrick J. Loughlin include University of Utah & Air Force Institute of Technology.

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An information-theoretic approach to positive time-frequency distributions

TL;DR: The principle of minimum cross entropy (MCE) is used to generate positive distributions in the Cohen-Posch (1985) class of proper time-frequency distributions (TFDs) that are not only intuitively satisfying, but they also yield the correct marginals, have strong finite support, and are everywhere nonnegative.
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Functional MR imaging of a simulated balance task

TL;DR: The utility in using a force platform to simulate active balance control during MR imaging that elicits activity in cortical regions consistent with studies of active balance and mental imagery of balance is demonstrated.
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2008 Special Issue: Sensory adaptation in human balance control: Lessons for biomimetic robotic bipeds

TL;DR: This paper describes mechanisms used by humans to stand on moving platforms and to combine body orientation and motion information from multiple sensors including vision, vestibular, and proprioception, and describes implementations of sensory re-weighting in simulation and on a robot.
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Modified Cohen-Lee time-frequency distributions and instantaneous bandwidth of multicomponent signals

TL;DR: It is shown that similar problems arise with the Cohen-Lee (1988, 1989) instantaneous bandwidth of a signal and a new formulation for the instantaneous bandwidth is proposed that is consistent with its interpretation as the conditional standard deviation in frequency of a TFD.
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Multiwindow time-varying spectrum with instantaneous bandwidth and frequency constraints

TL;DR: This work builds on Cohen's work on instantaneous bandwidth and frequency by extending it to a multiwindow framework for polynomial phase signals, and develops a method utilizing this new multiwindow time-varying spectral technique for estimating the instantaneous frequency of a signal.