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Section: Publications & Resources
Publication: IEEE Transactions on Signal Processing
This paper studies a statistical model for heteroscedastic ( i.e. , power fluctuating) signals embedded in white Gaussian noise. Using the Riemannian geometry theory, we propose an unified approach to tackle several problems related to this model. The first axis of contribution concerns parameters (signal subspace and power factors) estimation, for which we derive intrinsic Cramér-Rao bounds and propose a flexible Riemannian optimization algorithmic framework in order to compute the maximum likelihood estimator (as well as other cost functions involving the parameters).
Section: Publications & Resources
Publication: IEEE Transactions on Signal Processing
Wedevelop a privacy-preserving distributed projection least mean squares (LMS) strategy over linear multitask networks, where agents’ local parameters of interest or tasks are linearly related. Each agent is interested in not only improving its local inference performance via in-network cooperation with neighboring agents, but also protecting its own individual task against privacy leakage. In our proposed strategy, at each time instant, each agent sends a noisy estimate, which is its local intermediate estimate corrupted by a zero-mean additive noise, to its neighboring agents.
Section: Publications & Resources
Publication: IEEE Transactions on Signal Processing
In this work, we analyze the convergence of constant modulus algorithm (CMA) in blindly recovering multiple signals to facilitate grant-free wireless access. The CMA typically solves a non-convex problem by utilizing stochastic gradient descent. The iterative convergence of CMA can be affected by additive channel noise and finite number of samples, which is a problem not fully investigated previously.
Section: Publications & Resources
IEEE Signal Processing Society Past President Ahmed Tewfik, in his capacity as Chair of the Society’s Nominations and Appointments Committee, invites nominations for the IEEE Signal Processing Society Officer positions of Vice President-Education for the term 1 January 2023-31 December 2025 and Vice President-Membership for the term 1 January 2023-31 December 2025.
Section: Publications & Resources
In his seminal paper, Dr. Ronald Mahler not only developed the Probability Hypothesis Density (PHD) filter, but also detailed the Random Finite Set (RFS) framework for multi-object systems. These complex dynamical systems, in which the number of objects and their states are unknown and vary randomly with time, have a wide range of applications from surveillance, computer vision, robotics to biomedical research.
Section: Community & Involvement
IEEE Signal Processing Cup 2021
Configuring an Intelligent Reflecting Surface for Wireless Communications
The IEEE Signal Processing Society is proud to announce the eight edition of the Signal Processing Cup: an exciting challenge to control a wireless propagation environment using an intelligent reflecting surface.
Section: Community & Involvement
5-MICC Contest at ICASSP 2021
Section: Community & Involvement
5-MICC Contest at ICIP 2021
IEEE SPS 5-Minute Video Clip Contest at ICIP 2021: Call for Video
Automatic Medical Image Diagnosis
Organizer: Professor Sérgio Faria, Instituto de Telecomunicações and Polytechnic of Leiria, Portugal
The Signal Processing Society (SPS) is pleased to announce the 5-Minute Video Clip Contest (5-MICC) at ICIP 2021 in Anchorage, Alaska, USA (19-22 September, 2021) .
Section: Community & Involvement
5-MICC Contest at ICIP 2021: Vote for the Clip
IEEE SPS 5-Minute Video Clip Contest at ICIP 2021:
Automatic Medical Image Diagnosis
Voting period has closed!
The IEEE Signal Processing Society is excited to announce the finalists of the first SPS 5-Minute Video Clip Contest!
The voting platform is now open, and you can help support the final three teams by voting for your favorite video! Cast your vote by 11:59 PM (ET) on Monday, 20 September 2021. You may only vote once.
