Signal and Image Processing
Signals are broadly defined as functions conveying “information about the behavior or attributes of some phenomenon” such as sound, images, and biological measurements. Current research activities include algorithmic techniques to improve signal transmission fidelity, storage and retrieval efficiency, subjective quality as well as quantitative methods for signal/image understanding and analysis. Application areas include (but are not limited to) optical, remote-sensed and medical image processing, signal processing for communications and radar systems, and genomic signal processing.
Primary Faculty
Affiliate Faculty
