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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)
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)
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...
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.
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.
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.
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:
Submission Deadline: November 14, 2019
Call for Proposals Document
White Paper Due: March 1, 2020
Publication Date: March 2021
CFP Document
Manuscript Due: May 1, 2020
Publication Date: January 2021
CFP Document
Lecture Date: November 18, 2019
Chapter: Chile
Chapter Chair: Nestor Becerra Yoma
Topic: Data Fusion and Analysis Through Matrix and Tensor
Factorizations: Uniqueness, Diversity and Applications
September 22-25, 2020
NOTE: AVSS 2020 has been postponed to 2021
Location: Washington, DC, USA