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The Latest News, Articles, and Events in Signal Processing
Computer architectures and systems are becoming ever more powerful but increasingly more complex. With the end of frequency scaling (about 2004) and the era of multicores/manycores/accelerators, it is exceedingly hard to extract the promised performance, in particular, at a reasonable energy budget.
Lecture Date: November 30, 2018
Chapter: Phoenix
Chapter Chair: Suren Jayasuriya
Topic: Enhanced Beamforming via Spatially Controlled Relays
The Department of Computer Science at the National University of Singapore is seeking a postdoctoral fellow to work with Dr. Jonathan Scarlett.
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.
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.
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.
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.
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.
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.
May 15-17, 2019
Location: Tokyo, Japan
IEEE SPS has built a streamlined mechanism for employers to add a job announcement by simply filling in a simple job opportunity submission Web form related to a particular TC field. To submit job announcements for a particular Technical Committee, the submission form can be found by visiting the page below and selecting a particular TC. Visit the SPS Job Submission Form.
The IEEE Signal Processing Society continues to track emerging technical areas. As a result, the Society has decided to create two new SPS Technical Interest Profile (TIP) Code categories in the fields of Data Science and Autonomous Systems to keep pace with the expanding technical disciplines.
The Signal Processing Society (SPS) has 12 Technical Committees and 3 Special Interest Groups (SIGs) that support a broad selection of signal processing-related activities defined by the scope of the Society.
The fourth edition of SS12 ASIA: AGE OF INNOVATION 2018, a Coding and Making Challenge organized by Madras IEEE Education Society, was hosted in NSBM (National School of Business Management) Green University Town, Homagama, Colombo, Sri Lank.
The marriage of ever-more sophisticated signal processing and wireless communications has led to compelling “tele-presence” solutions—at the touch of a dialing key.
Three new Members-at-Large will take their seats on the IEEE Signal Processing Society Board of Governors beginning 1 January 2019 and will serve until 31 December 2021. Eight candidates competed for the three Member-at-Large positions.
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).
Please visit the Conferences and Events page on the IEEE Signal Processing Society website for Upcoming Lectures by Distinguished Lecturers.
White Paper Due: December 1, 2018
Publication Date: January 2020
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