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Section: Publications & Resources
Combining diffusion strategies with complementary properties enables enhanced performance when they can be run simultaneously. In this article, we first propose two schemes for the convex combination of two diffusion strategies, namely, the power-normalized scheme and the sign-regressor scheme. Then, we conduct theoretical analysis for one of the schemes, i.e., the power-normalized one.
Section: Publications & Resources
Decentralized detection is one of the key tasks that a wireless sensor network (WSN) is faced to accomplish. Among several decision criteria, the Rao test is able to cope with an unknown (but parametrically-specified) sensing model, while keeping computational simplicity. To this end, the Rao test is employed in this paper to fuse multivariate data measured by a set of sensor nodes, each observing the target (or the desired) event via a nonlinear mapping function.
Single-Pulse Simultaneous Target Detection and Angle Estimation in a Multichannel Phased Array Radar
Section: Publications & Resources
Publication: IEEE Transactions on Signal Processing
This paper is focused on simultaneous target detection and angle estimation with a multichannel phased array radar. Resorting to a linearized expression for the array steering vector around the beam pointing direction, the problem is formulated as a composite binary hypothesis test where the unknowns, under the alternative hypothesis, include the target directional cosines displacements with respect to the array nominal coarse pointing direction.
Section: Publications & Resources
Publication: IEEE Transactions on Signal Processing
Inspired by the recent success of deep neural networks and the recent efforts to develop multi-layer dictionary models, we propose a Deep Analysis dictionary Model (DeepAM) which is optimized to address a specific regression task known as single image super-resolution. Contrary to other multi-layer dictionary models, our architecture contains L layers of analysis dictionary and soft-thresholding operators to gradually extract high-level features and a layer of synthesis dictionary which is designed to optimize the regression task at hand.
Section: Events
Lecture Date: December 14, 2020 (Online lecture)
Chapter: Singapore
Chapter Chair: Lokesh Bheema Thiagarajan
Topic: Privacy-Preserving Localization and Recognition of Human Activities
Section: Our Story
Intel
San Jose, CA, USA
Section: Our Story
University of Campinas
Limeira-SP, Brazil
Section: Our Story
Centre Tecnològic Telecomunicacions Catalunya
Castelldefels, Spain
Section: Our Story
Tampere University of Technology
Tampere, Finland
Section: Our Story
London South Bank University
London, UK
