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Section: Publications & Resources

Publication: IEEE Transactions on Signal Processing

Linear data-detection algorithms that build on zero forcing (ZF) or linear minimum mean-square error (L-MMSE) equalization achieve near-optimal spectral efficiency in massive multi-user multiple-input multiple-output (MU-MIMO) systems. 

Section: Publications & Resources

Publication: IEEE Transactions on Signal Processing

In this paper, we study blind channel-and-signal estimation by exploiting the burst-sparse structure of angular-domain propagation channels in massive MIMO systems. The state-of-the-art approach utilizes the structured channel sparsity by sampling the angular-domain channel representation with a uniform angle-sampling grid, a.k.a. virtual channel representation.

Section: Publications & Resources

Publication: IEEE Transactions on Signal Processing

This paper considers and analyzes the performance of semiblind, training, and data-aided channel estimation schemes for multiple-input multiple-output (MIMO) filter bank multicarrier (FBMC) systems with offset quadrature amplitude modulation.

Section: Publications & Resources

Publication: IEEE Transactions on Signal Processing

The topic of sequence design has received considerable attention due to its wide applications in active sensing. One important desired property for the design sequence is the spectral shape. In this paper, the sequence design problem is formulated by minimizing the regularized spectral level ratio subject to a peak-to-average power ratio constraint.

Section: Publications & Resources

Publication: IEEE Transactions on Signal Processing

The problem of detecting a high-dimensional signal based on compressive measurements in the presence of an eavesdropper (Eve) is studied in this paper. We assume that a large number of sensors collaborate to detect the presence of sparse signals while the Eve has access to all the information transmitted by the sensors to the fusion center (FC). 

Section: Publications & Resources

Anna Scaglione (F) (M.Sc.'95, Ph.D. '99) is currently a professor in electrical and computer engineering at Arizona State University (ASU). She was Professor of Electrical Engineering previously at the University of California at Davis (2008-2014), and at Cornell University, (2001-2008). 

Section: Publications & Resources

Publication: IEEE Open Journal of Signal Processing

Aims & Scope The IEEE Open Journal of Signal Processing covers the enabling technology for the generation, transformation, extraction, and interpretation of information. It comprises the theory, algorithms with associated architectures and implementations, and applications related to processing information contained in many different formats broadly designated as signals.

Section: Publications & Resources

It is my pleasure to share my views for the Signal Processing Society (SPS) Chapters’ best practices. Before I begin, I want to describe my own personal experience as a volunteer. I started my journey as a Treasurer (2013-14) and then as the Chairman (2015-16) for SPS Chapter, Gujarat Section (GS).

Section: Publications & Resources

Publication: IEEE Signal Processing Letters

Diacritics restoration is a necessary component in order to develop Arabic text to speech systems. When diacritics are present, the phonetic transcription algorithm can be implemented based on a few rules. Restoring Arabic diacritics based on language model scoring is the dominant approach. A fixed vocabulary is usually used to build the language model used for scoring.

Section: Publications & Resources

Publication: IEEE Signal Processing Letters

In this letter, we propose a heuristic method to address sensor bias estimation to improve track-to-track association accuracy. A novel multi-parameter cost function is derived from rigid transformation function and it is minimized by the covariance matrix adaptation evolution strategies algorithm.