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Section: Publications & Resources

We are pleased to announce that, as of January 2019, the IEEE Transactions on Signal and Information Processing over Networks has formally been accepted for indexing by the Clarivate Analytics Web of Science.

Section: Events

Submission Deadline: February 15, 2019 Call for Proposals Document

Section: Publications & Resources

Publication: IEEE Transactions on Signal Processing

In this paper, we propose spatial filters for a linear regression model, which are based on the minimum-variance pseudo-unbiased reduced-rank estimation (MV-PURE) framework. As a sample application, we consider the problem of reconstruction of brain activity from electroencephalographic (EEG) or magnetoencephalographic (MEG) measurements.

Section: Publications & Resources

Publication: IEEE Transactions on Signal Processing

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.

Section: Publications & Resources

Publication: IEEE Transactions on Signal Processing

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.

Section: Publications & Resources

Publication: IEEE Transactions on Signal Processing

We address the downlink channel estimation problem for massive multiple-input multiple-output (MIMO) systems in this paper, where the inherit burst-sparsity structure is exploited to improve the channel estimation performance. In the literature, the commonly used burst-sparsity model assumes a uniform burst-sparse structure in which all bursts have similar sizes.

Section: Publications & Resources

Publication: IEEE Transactions on Signal Processing

Model order selection (MOS) in linear regression models is a widely studied problem in signal processing. Penalized log likelihood techniques based on information theoretic criteria (ITC) are algorithms of choice in MOS problems. Recently, a number of model selection problems have been successfully solved with explicit finite sample guarantees using a concept called residual ratio thresholding (RRT).

Section: Publications & Resources

Publication: IEEE Transactions on Signal Processing

Motivated by the many applications associated with estimation of sparse multivariate models, the estimation of sparse directional connectivity between the imperfectly measured nodes of a network is studied. Node dynamics and interactions are assumed to follow a multivariate autoregressive model driven by noise, and the observations are a noisy linear combination of the underlying node activities.

Section: Publications & Resources

Please refer to the following webpage for the latest updates on upcoming conferences, workshops, and events in Signal Processing. Listing of all conferences & events

Section: Publications & Resources

Please refer to the following webpage for the latest updates on upcoming conferences, workshops, and events in Signal Processing. Listing of all conferences & events