The University of Michigan is delighted to host the 2012 IEEE Workshop on Statistical Signal Processing (SSP). 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 2012 will include invited plenary talks and regular and special sessions with contributed research papers. All accepted papers will be published on IEEE Xplore;

all contributed and special sessions are poster sessions. The scope of the workshop includes basic theory, methods and algorithms, and applications in the following synergistic areas:

THEORETICAL TOPICS:
◗ Adaptive systems and signal processing
◗ Monte Carlo methods
◗ Detection and estimation theory
◗ Learning theory and pattern recognition
◗ Multivariate statistical analysis
◗ System identification and calibration
◗ Time-frequency and time-scale analysis
◗ Network and graph analysis
◗ Random matrix theory
◗ Compressed sensing

APPLICATION AREAS:
◗ Bioinformatics and genomic signal processing
◗ Smart grid and industrial applications
◗ Array processing, radar, and sonar
◗ Communication systems and networks
◗ Information forensics and security
◗ Biomedical signal processing
◗ Medical imaging
◗ Predictive health, social network analysis
◗ Sensor Networks
◗ New methods, directions and applications