Signal and Image Processing

Catalog description

With the rapid increase in computer processing technology and power, this course concentrates on the core fundamentals of digital signal and image processing with emphasis on problems in biomedical research. Students will be introduced to the principles and algorithms of signal and image processing applied to both deterministic and random signals. Topics include discrete Fourier transform, wavelet analysis, data acquisition, sampling, filtering, noise reduction, and other digital processing techniques. Corequisite: None. Prerequisite: None. (Offered every odd fall term.) Credits: 3