Wave Motion and Signal Processing
Modern society relies on wave motion. Communication systems, medical ultrasonic, structural evaluation, RADAR, MEMS devices, and many other applications rely on our ability to effectively analyze wave motion.
Yet, in complex and noisy environments (for example, to assess the structural integrity of composite aircraft frames or to medically image tumors around dense tissue), complex wave motion limits our capabilities. Traditional analysis methods exhibit significant errors in these environments and fail to meet the rigorous standards to many fields, including medical and structural monitoring.
Our research group focuses on reducing the data analysis limitations created by complex wave motion as well as leveraging the complex wave motion to improve traditional data analysis methods. Complex environments often provide a plethora a new information about a problem or situation. Multiple reflections, for example, often carry multiple perspectives of a tumor in a tissue or a crack in a bridge. We create signal processing algorithms to optimally use this information that is normally consider a "problem" or "noise" in traditional data analysis.