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Section: Publications & Resources

The IEEE Signal Processing Society (SPS) Newsletter is pleased to announce a new twist on an existing feature: how members receive tables of contents (TOCs) alerts for their favorite SPS Publication(s).

Section: Publications & Resources

Alan Bovik has a storied career. An American engineer, vision scientist and Primetime Emmy Award winner, Bovik holds the Cockrell Family Endowed Regents Chair in Engineering at The University of Texas at Austin, where he has been the Director of the Laboratory for Image and Video Engineering for more than three decades.

Section: Publications & Resources

Speech recognition technology allows computers to take spoken audio, interpret it and generate text from it. But how do computers understand human speech? The short answer is…the wonder of signal processing. 

Section: Events

May 15-17, 2019 Location: Tokyo, Japan

The Department of Computer Science at the National University of Singapore is seeking a postdoctoral fellow to work with Dr. Jonathan Scarlett.

Section: Publications & Resources

Publication: IEEE Transactions on Signal Processing

Recovery of certain piecewise continuous signals from noisy observations has been a major challenge in sciences and engineering. In this paper, in a tight-dimensional representation space, we exploit sparsity hidden in a class of possibly discontinuous signals named finite-dimensional piecewise continuous (FPC) signals. More precisely, we propose a tight-dimensional linear transformation which reveals a certain sparsity in discrete samples of the FPC signals. This transformation is designed by exploiting the fact that most of the consecutive samples are contained in special subspaces.

Section: Publications & Resources

Publication: IEEE Transactions on Signal Processing

The focus of this paper is on detection theory for union of subspaces (UoS). To this end, generalized likelihood ratio tests (GLRTs) are presented for detection of signals conforming to the UoS model and detection of the corresponding “active” subspace. One of the main contributions of this paper is bounds on the performances of these GLRTs in terms of geometry of subspaces under various assumptions on the observation noise.

Section: Publications & Resources

Publication: IEEE Transactions on Signal Processing

Classical algorithms for the multiple measurement vector (MMV) problem assume either independent columns for the solution matrix or certain models of correlation among the columns. The correlation structure in the previous MMV formulation does not capture the signals well for some applications like photoplethysmography (PPG) signal extraction where the signals are independent and linearly mixed in a certain manner. In practice, the mixtures of these signals are observed through different channels.

Section: Events

Lecture Date: November 30, 2018 Chapter: Phoenix Chapter Chair: Suren Jayasuriya Topic: Enhanced Beamforming via Spatially Controlled Relays

I have an open position in my group for a fully funded PhD student. The requirements are strong background in Mathematics and Signal Processing. Familiarity with Machine Learning and Communication Theory are preferable. Please email me your: 1) transcripts, 2) updated CV, and 3) GRE and TOEFL (if applicable) scores to elnaz.banansadeghian@wichita.edu.