The 2020 IEEE Statistical Signal Processing Workshop (SSP) will be held from 12-15 July 2020 in Rio de Janeiro, Brazil. The SSP Workshop is a unique meeting that brings members of the IEEE Signal Processing Society together with researchers from allied fields such as bioinformatics, communications, machine learning, and statistics. The scientific program of SSP 2020 will include invited plenary talks, and regular and special sessions with contributed research papers. All submitted papers are reviewed by experts, and all accepted papers will be published on IEEEXplore.
We inform that the submission deadline has been postponed to March 20, 2020.
We invite submitting original research papers on topics including, but not limited to, the following areas:
Foundations, methods, and algorithms
• Detection and estimation theory
• Machine learning and pattern recognition
• Signal separation methods
• Data driven methods
• Bayesian techniques
• Sampling and reconstruction
• Signal and system modeling
• Adaptive signal processing
• Distributed signal processing
• Signal processing over graphs and networks
• Optimization techniques
• Sparsity-aware processing and compressive sensing
• Matrix and tensor methods
Application areas
• Bioinformatics and genomics
• Data science
• Internet of things and sensor networks
• Sensor array systems, radar and sonar
• Communication systems and networks
• Information forensics and security
• Medical and biomedical imaging
• Social networks
• Smart grids, power systems and industrial applications
• Geoscience and seismology
• Astrophysics
• Financial signal processing
• Quantum signal processing
We inform that the submission deadline has been postponed to March 20, 2020.
We invite submitting original research papers on topics including, but not limited to, the following areas:
Foundations, methods, and algorithms
• Detection and estimation theory
• Machine learning and pattern recognition
• Signal separation methods
• Data driven methods
• Bayesian techniques
• Sampling and reconstruction
• Signal and system modeling
• Adaptive signal processing
• Distributed signal processing
• Signal processing over graphs and networks
• Optimization techniques
• Sparsity-aware processing and compressive sensing
• Matrix and tensor methods
Application areas
• Bioinformatics and genomics
• Data science
• Internet of things and sensor networks
• Sensor array systems, radar and sonar
• Communication systems and networks
• Information forensics and security
• Medical and biomedical imaging
• Social networks
• Smart grids, power systems and industrial applications
• Geoscience and seismology
• Astrophysics
• Financial signal processing
• Quantum signal processing
