James R. Hopgood — accepted AI-conference papers

2018

MMSE Adaptive Waveform Design for a MIMO Active Sensing System Tracking Multiple Moving Targets

Steven Herbert, James R. Hopgood, Bernard Mulgrew

ICASSP 2018accepted

This paper proposes a method for minimum mean squared error (MMSE) adaptive waveform design (AWD) in multiple-input-multiple-output (MIMO) active sensing systems which are used to track moving targets. The method proposed herein prompts two computational improvements compared to a related method for…

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2016

Super-resolution spectral analysis for ultrasound scatter characterization

Konstantinos Diamantis, Maruf A. Dhali, Gavin Gibson, Yan Yan, James R. Hopgood, Vassilis Sboros

ICASSP 2016accepted

Parametric Bayesian spectral estimation methods have been previously utilized to improve frequency resolution. Ultrasound signals have been tested in such methods resulting in higher precision frequency detection compared to common non-parametric spectral estimation methods based on the Fourier tran…

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