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James H. McClellan

5 accepted papers

2019

Super-resolution DOA Estimation for Arbitrary Array Geometries Using a Single Noisy Snapshot

ICASSP 2019accepted

We address the problem of search-free DOA estimation from a single noisy snapshot for sensor arrays of arbitrary geometry, by extending a method of gridless super-resolution beam-forming to arbitrary arrays with noisy measurements. The primal atomic norm minimization problem is converted to a dual p…

Cited by 0SourceScholar
2017

Low-rank physical model recovery from low-rank signal approximation

ICASSP 2017accepted

This work presents a mathematical approach for recovering a physical model from a low-rank approximation of measured data obtained via the singular value decomposition (SVD). The general form of a low-rank physical model of the data is often known, so the presented approach learns the proper rotatio…

Cited by 0SourceScholar
2017

Study-flow: Studying effective student-content interaction in signal processing education

ICASSP 2017accepted

Throughout a semester students use textbooks to reference key fragments especially in response to assigned homework problems. We present an extension to an existing web-based Question and Answer (Q&A) system by incorporating the course textbook as a collection of annotated and chunked resources in a…

Cited by 0SourceScholar
2016

Fast online orthonormal dictionary learning for efficient full waveform inversion

ICASSP 2016accepted

Full waveform inversion (FWI) delivers high-resolution images of a subsurface medium property by minimizing itera-tively the misfit between observed and simulated seismic data, and is commonly used by the oil and gas industry for geophysical exploration. FWI is a challenging problem because seismic…

Cited by 0SourceScholar