In addition to contributed sessions, the workshop will also have a total of 12 special sessions. These special sessions cover a wide-range of topics of emerging interest and are being organized by some of the leading researchers in the signal processing community.

• Sparse Time-Frequency Analysis

  Organized by: Moeness Amin and Patrick Flandrin
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• Computer-Intensive Methods for Statistical Signal Processing

  Organized by: Joaquin Miguez
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• Large-Scale Optimization in Dynamic Scenarios

  Organized by: Andrea Simonetto and Geert Leus
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• Tensor-Based Signal Processing

  Organized by: André de Almeida, Gérard Favier and Martin Haardt
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• Massive MIMO Systems

  Organized by: Michael Joham, João Paulo Miranda and André de Almeida
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• Optimization and Adaptivity in Big Data

  Organized by: Laura Balzano, Volkan Cevher and Jarvis Haupt
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• Cognitive/Multi-Missions Radars

  Organized by: Shannon Blunt and Nathan Goodman
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• Nonconvex Optimization in Sparse Inverse Problems for Multidimensional Signal Processing

  Organized by: Laure Blanc Féraud and Pascal Larzabal
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• Super-Resolution and Atomic Norms

  Organized by: Gongguo Tang
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• Network Data and Graph Signal Processing

  Organized by: Alejandro Ribeiro, Antonio Marques and Santiago Segarra
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• Randomness and Efficient Computation in Signal Processing

  Organized by: Mark Davenport and Justin Romberg
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• MmWave Array Signal Processing

  Organized by: Robert W. Heath Jr. and Phil Schniter