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IEEE SAM 2016 : The Ninth IEEE Sensor Array and Multichannel Signal Processing Workshop

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Link: http://delamare.cetuc.puc-rio.br/sam2016/index.html
 
When Jul 10, 2016 - Jul 13, 2016
Where Rio de Janeiro, Brazil
Submission Deadline Feb 26, 2016
Notification Due Apr 29, 2016
Final Version Due May 16, 2016
Categories    signal processing
 

Call For Papers

Technical Program
The SAM Workshop is an important IEEE Signal Processing Society event dedicated to sensor array and multichannel signal processing. The organizing committee invites the international community to contribute with state-of-the-art developments in the field. SAM 2016 will feature plenary talks by leading researchers in the field as well as poster and oral sessions with presentations by the participants.

Welcome to Rio de Janeiro! - The workshop will be held at the Pontifical Catholic University of Rio de Janeiro, located in Gávea, in a superb area surrounded by beaches, mountains and the Tijuca National Forest, the world's largest urban forest. Rio de Janeiro is a world renowned city for its culture, beautiful landscapes, numerous tourist attractions and international cuisine. The workshop will take place during the first half of July about a month before the 2016 Summer Olympic Games when Rio will offer plenty of cultural activities and festivities, which will make SAM 2016 a memorable experience.


Research Areas
Authors are invited to submit contributions in the following areas:
• Adaptive beamforming
• Array processing for biomedical applications
• Array processing for communications
• Blind source separation and channel identification
• Computational and optimization techniques
• Compressive sensing and sparsity-based signal processing
• Detection and estimation
• Direction-of-arrival estimation
• Distributed and adaptive signal processing
• Intelligent systems and knowledge-based signal processing
• Microphone and loudspeaker array applications
• MIMO radar
• Multi-antenna systems: multiuser MMO, massive MIMO and space-time coding
• Multi-channel imaging and hyperspectral processing
• Multi-sensor processing for smart grid and energy
• Non-Gaussian, nonlinear, and non-stationary models
• Performance evaluations with experimental data
• Radar and sonar array processing
• Sensor networks
• Source Localization, Classification and Tracking
• Synthetic aperture techniques
• Space-time adaptive processing
• Statistical modelling for sensor arrays
• Tensor signal processing
• Waveform diverse sensors and systems.


Plenary speakers
• Stephen Boyd, Stanford University
• Arye Nehorai, Washington University in St. Louis
• Robert Calderbank, Duke University
• A. Lee Swindlehurst, University of California, Irvine


Submission of papers - Full-length four-page papers will be accepted only electronically.

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