Information Sciences

Research in the area of Signal and Image Processing spans a variety of topics, including multiresolution signal modeling, multidimensional detection and estimation, geometric-based modeling and estimation, image encoding/decoding, and the integration of digital signal processing with signal understanding.

Applications that motivate this research include, but are not limited to, problems arising in automatic target detection and recognition, geophysical inverse problems (such as finding oil and analyzing the atmosphere), and medical estimation problems (such as tomography and MRI), auditory scene analysis, and spread-spectrum communications. The general goal is to develop efficient methods for the extraction of information from diverse data sources in the presence of uncertainty.