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The Latest News, Articles, and Events in Signal Processing
This paper addresses the problem of joint downlink channel estimation and user grouping in massive multiple-input multiple-output (MIMO) systems, where the motivation comes from the fact that the channel estimation performance can be improved if we exploit additional common sparsity among nearby users. In the literature, a commonly used group sparsity model assumes that users in each group share a uniform sparsity pattern.
Multiple-input multiple-output (MIMO) radar is known for its superiority over conventional radar due to its antenna and waveform diversity. Although higher angular resolution, improved parameter identifiability, and better target detection are achieved, the hardware costs (due to multiple transmitters and multiple receivers) and high-energy consumption (multiple pulses) limit the usage of MIMO radars in large scale networks.
The problem of quickest detection of a change in distribution is considered under the assumption that the pre-change distribution is known, and the post-change distribution is only known to belong to a family of distributions distinguishable from a discretized version of the pre-change distribution.
September 18-21, 2019
Location: Taipei, Taiwan
October 13-16, 2019
Location: Pittsburgh, PA, USA
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 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 IEEE Signal Processing Society is happy to announce the addition of eleven new Chapters formed in 2018. We welcome the following SPS Chapters and wish them great success in their future activities and events:
White Paper Due: April 8, 2019
Publication Date: May 2020
CFP Document
Dear esteemed members of the IEEE Signal Processing Society:
Let me first wish you all a prosperous 2019 and great success in your endeavors. I am writing to share some important news with you.
The Signal Processing Society is striving to engage its members more directly and also more strongly in Society affairs and activities. Our Society is blessed with accomplished and thoughtful individuals like you. Your opinion is an asset and we value it.
The IEEE Signal Processing Society (SPS) invites nominations for the position of Editor-in-Chief for the following journal: IEEE Signal Processing Letters for a 3-year term starting 1 January 2020.
Upcoming webinar, 29 January 2019 by Dr. Victor Elvira. In many problems of signal processing, the interest is in estimating unknown static variables given a set of observations. The hidden parameters and the available data are usually related through a specific model.
Lecture Date: February 4, 2019
Chapter: Greece
Chapter Chair: Athanasios Rontogiannis
Topic: Graph Signal Processing
Lecture Date: February 1, 2019
Chapter: Greece
Chapter Chair: Athanasios Rontogiannis
Topic: Graph Signal Processing
Lecture Date: January 31, 2019
Chapter: Greece
Chapter Chair: Athanasios Rontogiannis
Topic: Graph Signal Processing
Lecture Date: February 19, 2019
Chapter: Princeton/Central Jersey
Chapter Chair: Donald G. 'Jerry' Bellott
Topic: Computational Imaging with Few Photons, Electrons, or Ions
Lecture Date: February 28, 2019
Chapter: Hong Kong
Chapter Chair: Yik-Chung Wu
Topic: Tackling the Cocktail Party Problem for Hearing Devices
The IEEE Jack S. Kilby Signal Processing Medal is being presented to Alan Willsky of the Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
We are pleased to announce that, as of October 2018, the IEEE Transactions on Computational Imaging has formally been accepted for indexing by the Clarivate Analytics Web of Science.
The sliding discrete Fourier transform (SDFT) is an efficient method for computing the N-point DFT of a given signal starting at a given sample from the N-point DFT of the same signal starting at the previous sample [1]. However, the SDFT does not allow the use of a window function, generally incorporated in the computation of the DFT to reduce spectral leakage, as it would break its sliding property.
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