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Section: Publications & Resources

Publication: IEEE Transactions on Signal and Information Processing over Networks

We consider the detection and tracking of a target in a decentralized sensor network. The presence of the target is uncertain, and the sensor measurements are affected by clutter and missed detections. The state-evolution model and the measurement model may be nonlinear and non-Gaussian. For this practically relevant scenario, we propose a particle-based distributed Bernoulli filter (BF) that provides to each sensor approximations of the Bayes-optimal estimates of the target presence probability and the target state.

Section: Publications & Resources

Publication: IEEE Transactions on Signal and Information Processing over Networks

This paper utilizes the family of affine projection algorithms (APAs) for distributed estimation in the adaptive diffusion networks. The diffusion APA (DAPA), the diffusion selective partial update (SPU) APA (DSPU-APA), the diffusion selective regressor (SR) APA (DSR-APA), and the diffusion dynamic selection (DS) APA (DDS-APA) are introduced in a unified way. In DSPU-APA, the weight coefficients are partially updated at each node during the adaptation.

Section: Publications & Resources

Publication: IEEE Transactions on Signal and Information Processing over Networks

The adaptive algorithms applied to distributed networks are usually real-valued diffusion subband adaptive filter algorithms. However, it cannot be used for processing the complex-valued signals. In this paper, a novel augmented complex-valued diffusion normalized subband adaptive filter (D-ACNSAF) algorithm is proposed for distributed estimation over networks. In order to deal with the noncircular complex-valued signals, the D-ACNSAF algorithm uses the widely linear model for a diffusion network.

Section: Publications & Resources

IEEE Signal Processing Society (SPS) annual election will commence on 15 August, and your vote is more important than ever! Beginning this year, all eligible SPS Members will now vote for the next President-Elect (term 1 January 2020 through 31 December 2021), in addition to the Regional Directors-at-Large for Regions 7 & 9 and 10 (term 1 January 2020 through 31 December 2021), and Members-at-Large (term 1 January 2020 through 31 December 2022) of the IEEE Signal Processing Society Board of Governors (BoG).

Section: Events

Lecture Date: October 15, 2019 Chapter: Thailand Chapter Chair: Supavadee Aramvith Topic: Data Fusion Through Matrix and Tensor Factorizations: An Overview of Solutions, Challenges, and Prospects

Section: Events

Publication: IEEE Journal of Selected Topics in Signal Processing

Manuscript Due: September 15, 2019 Publication Date: May 2020 CFP Document

Section: Events

Publication: IEEE Journal of Selected Topics in Signal Processing

Manuscript Due: December 1, 2019 Publication Date: August 2020 CFP Document

Section: Publications & Resources

This volume develops the theory of multidimensional signal processing where input and output are either scalar or  vector-valued signals. Vector-valued signals are specifically used to model color images. The approach is largely based on lattices. Non-rectangular sampling is very widespread; for example, virtually every camera and display device incorporates non-rectanglular sampling. 

Chair: Pelin Dilek Email: pelindilek99@hotmail.com Advisor: Olcay Akay Email: olcay.akay@deu.edu.tr

Chair: Vacant Email: TBA Advisor: Mehmet Turkan Email: mehmet.turkan@gmail.com