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The Latest News, Articles, and Events in Signal Processing

IEEE Transactions on Audio, Speech and Language Processing

Sequence generation tasks, such as neural machine translation (NMT) and abstractive summarization, usually suffer from exposure bias as well as the error propagation problem due to the autoregressive training and generation. Many previous works have discussed the relationship between error propagation and the accuracy drop problem (i.e., the right part of the generated sentence is often worse than its left part in left-to-right decoding models). 

IEEE Transactions on Audio, Speech and Language Processing

A sound field reproduction method based on the spherical wavefunction expansion of sound fields is proposed, which can be flexibly applied to various array geometries and directivities. First, we formulate sound field synthesis as a minimization problem of some norm on the difference between the desired and synthesized sound fields, and then the optimal driving signals are derived by using the spherical wavefunction expansion of the sound fields.

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

The Signal Processing Society (SPS) has 13 Technical Committees and 2 Special Interest Groups (SIGs) that support a broad selection of signal processing-related activities defined by the scope of the Society.

The Signal Processing Society (SPS) has 13 Technical Committees and 2 Special Interest Groups (SIGs) that support a broad selection of signal processing-related activities defined by the scope of the Society.

Please visit the Conferences and Events page on the IEEE Signal Processing Society website for Upcoming Lectures by Distinguished Lecturers.

This webinar, “Direct Localization for Massive MIMO,” will discuss how Large-scale MIMO systems are well known for their advantages in communications, but they also have the potential for providing very accurate localization, thanks to their high angular resolution. 

Ana Isabel Pérez-Neira (B.Sc. '89, MSc. '1991, Ph.D. 1995) is currently a professor at UPC (Universitat Politècnica de Catalunya) and scientific coordinator of the Centre Tecnològic de Telecomunicacions de Catalunya (CTTC).

University of Oldenburg - Dept. of Medical Physics and Acoustics

The Collaborative Research Centre SFB 1330 Hearing acoustics: Perceptual principles, Algorithms and Applications (HAPPAA) at the Carl von Ossietzky Universität Oldenburg is seeking to fill the position of a

Research Associate (m/f/d)

University of Oldenburg - Dept. of Medical Physics and Acoustics

The Collaborative Research Centre SFB 1330 Hearing acoustics: Perceptual principles, Algorithms and Applications (HAPPAA) at the Carl von Ossietzky Universität Oldenburg is seeking to fill the position of a

Research Scientist / PhD Student in Acoustical Signal Processing (m/f/d)

IEEE Transactions on Signal Processing

Structural equation models (SEMs) and vector autoregressive models (VARMs) are two broad families of approaches that have been shown useful in effective brain connectivity studies. While VARMs postulate that a given region of interest in the brain is directionally connected to another one by virtue of time-lagged influences, SEMs assert that directed dependencies arise due to instantaneous effects...

IEEE Transactions on Signal Processing

We address a robust detection problem for MIMO radars in Gaussian noise with unknown covariance matrix, for the mismatched case where the nominal transmit (or receive) steering vector may not be aligned with the true transmit (or receive) steering vector. Subspace models are adopted for taking into account these mismatches.

IEEE Transactions on Signal Processing

Substantial progress has been made recently on developing provably accurate and efficient algorithms for low-rank matrix factorization via nonconvex optimization. While conventional wisdom often takes a dim view of nonconvex optimization algorithms due to their susceptibility to spurious local minima, simple iterative methods such as gradient descent have been remarkably successful in practice. 

IEEE Transactions on Signal Processing

Nonlinear static multiple-input multiple-output (MIMO) systems are analyzed. The matrix formulation of Bussgang's theorem for complex Gaussian signals is rederived and put in the context of the multivariate cumulant series expansion. The attenuation matrix is a function of the input signals’ covariance and the covariance of the input and output signals.

Nanyang Technological University

We are looking to hire a motivated post-doc to work on machine learning and data analytics. The candidate must have a strong background in machine learning, AI, signal processing, optimization methods, probability, and statistics. The candidate must have a Ph.D. in relevant fields.

Required:

This webinar, “Direct Localization for Massive MIMO,” will discuss how Large-scale MIMO systems are well known for their advantages in communications, but they also have the potential for providing very accurate localization, thanks to their high angular resolution. 

Are you looking to energize signal processing students, early stage researchers, and industry practitioners in your area? Consider hosting a Seasonal School for young engineers near you!

White Paper Due: March 1, 2020
Publication Date: March 2021
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