2016 IEEE Statistical Signal Processing Workshop (SSP)

The scientific program of SSP 2016 will include invited plenary talks, as well as regular and special sessions with contributed research papers. All submitted papers will be reviewed by experts and only a proportion will be accepted to maintain a high quality workshop. All accepted papers will be published on IEEE Xplore. The scope of the workshop includes basic theory, methods and algorithms, and applications in the following areas:

Theoretical Topics

• Adaptive systems and signal processing
• Detection and estimation theory
• Machine Learning and Pattern Recognition
• Multivariate statistical analysis
• System identification and calibration
• Monte Carlo methods
• Signal Processing over graphs and networks
• Random matrix theory
• Time-frequency and time-scale analysis
• Compressed sensing
• Optimization
• Point process estimation
• Stochastic filtering

Application Areas

• Bioinformatics and genomics
• Array processing, radar and sonar
• Communication systems and networks
• Sensor networks
• Information forensics and security
• Medical imaging
• Biomedical signal processing
• Preventive, social network analysis
• Smart grids and industrial applications
• Geoscience
• Astrophysics
• New methods, directions and applications