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Section: Community & Involvement
Award ActivitiesSociety Award: Nominations may arise from any individual or committee/board. A board or committee cannot nominate one of its members for the award. However, a member of a board or committee can be nominated by another board or committee. Self-nominations are not accepted or considered. Members of the Awards Board and Board of Governors are not permitted to submit nominations. However, non-voting Board of Governors members are permitted to submit nominations.
Section: Publications & Resources
Publication: IEEE Transactions on Signal Processing
Various signal processing applications can be expressed as large-scale optimization problems with a composite objective structure, where the Lipschitz constant of the smooth part gradient is either not known, or its local values may only be a fraction of the global value. The smooth part may be strongly convex as well. The algorithms capable of addressing this problem class in its entirety are black-box accelerated first-order methods, related to either Nesterov's Fast Gradient Method or the Accelerated Multistep Gradient Scheme, which were developed and analyzed using the estimate sequence mathematical framework.
Section: Publications & Resources
Publication: IEEE Transactions on Signal Processing
Recently, many sparse arrays have been proposed to increase the number of degrees of freedom for direction of arrival (DoA) estimation especially for circular signals. Though many practical signals are noncircular, still the properties of noncircularity are hardly exploited in the design of sparse linear arrays. A new array geometry for noncircular signals, which significantly increases the aperture of the virtual array, has been proposed in this paper.
Section: Publications & Resources
Publication: IEEE Transactions on Signal Processing
Linear regression models contaminated by Gaussian noise (inlier) and possibly unbounded sparse outliers are common in many signal processing applications. Sparse recovery inspired robust regression (SRIRR) techniques are shown to deliver high-quality estimation performance in such regression models. Unfortunately, most SRIRR techniques assume a priori knowledge of noise statistics like inlier noise variance or outlier statistics like number of outliers.
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Section: Community & Involvement
What sparked your interest in speech and language processing?
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Section: Community & Involvement
The next IEEE Workshop on Spoken Language Technology (SLT 2018) will be held in Athens, Greece, on Dec 18-21, 2018 (www.slt2018.org).
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Section: Community & Involvement
The Member Election Subcommittee of the Speech and Language Technical Committee (SLTC) is seeking nominations for new members for a 3-year term (2019-2021). Nominations should be submitted by filling out the web form at https://www.icsi.berkeley.edu/icsi/ieee_form. The nomination deadline is October 20, 2018.
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Section: Community & Involvement
Welcome to the IEEE Speech and Language Processing Technical Committee Newsletter.
Section: Publications & Resources
This webinar will provide an in-depth survey look into 40 years of cross-disciplinary academic and industrial research and development work on radar tracking systems, starting from the former implementations based on the α – β, the Kalman filter, and up to the modern implementations based on random set filters.
Section: Publications & Resources
This webinar will provide an in-depth survey look into 40 years of cross-disciplinary academic and industrial research and development work on radar tracking systems, starting from the former implementations based on the α – β, the Kalman filter, and up to the modern implementations based on random set filters.
