Biomedical Signals II

This course examines the stochastic nature of biomedical signals and systems and introduces concepts from statistical signal processing to characterize and account for noise in signals and images. Students will learn about random variables, random processes, estimation theory, and image quality. Examples will be drawn from medical imaging modalities such as x-ray, CT, ultrasound, and MR to demonstrate how noise can be modeled and how information is extracted from noisy signals.