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December 11-12, 2019
Location: Brussels, Belgium
Audience: Fresh PhD who want to apply their ML skill to develop innovative applications in audio and music, with direct implementation within a commercialized product, and an ambitious technological roadmap for the years to come.
Job description: full time job within a team of 4 engineer / researchers / developers, completely integrated with the 12 members of the company.
Lecture Date: March 19-21, 2020
Chapter: Chennai
Chapter Chair: S. Salivahanan
Topic: Audio-Visual Voice Activity Detection Using Deep Neural Networks,
Array processing and beamforming with Kronecker products
Lecture Date: March 16-17, 2020
Chapter: Bangalore
Chapter Chair: Venkatesh Radhakrishnan
Topic: Optimal Multichannel signal enhancement, Audio-Visual
Voice Activity Detection Using Deep Neural Networks
Lecture Date: March 12-13, 2020
Chapter: Pune
Chapter Chair: Anil S. Tavildar
Topic: Array processing and beamforming with Kronecker products,
Audio-Visual Voice Activity Detection Using Deep Neural Networks
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).
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.
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.
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.
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.
In this paper, we study the problem of beam alignment for millimeter wave (mmWave) communications, where a hybrid analog and digital beamforming structure is employed at the transmitter (i.e., base station), and an omni-directional antenna or an antenna array is used at the receiver (i.e., user).
Name | Description |
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SPT | Signal Processing Theory
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Editor-in-Chief:
Brendt Wohlberg
Los Alamos National Laboratory, USA
Email EIC
This fully open access journal will publish high-quality, peer-reviewed papers covering 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. Signal processing uses mathematical, statistical, computational, heuristic, and/or linguistic representations, formalisms, modeling techniques and algorithms for generating, transforming, transmitting, and learning from signals.
Algorithms for Event-Driven Camera Analysis
School of Computing, Engineering and Mathematics
Scholarship code: 2019-089
Educational Testing Service (ETS), with headquarters in Princeton, NJ, is the world’s premier educational measurement institution and a leader in educational research. With more than 3,400 global employees, we develop, administer and score more than 50 million tests annually in more than 180 countries at more than 9,000 locations worldwide.