Course Description:This course is designed to teach cutting edge
techniques in data acquisition and signal processing to graduate students
in mathematics and engineering.
While various applications will be used to motivate the course, there will
be some emphasis on MRI. Scientists from Barrows Neurological Institute
will provide initial motivating lectures. The course will use a seminar
participative style of learning. Assignments will focus on using real data
and high level numerical algorithms. Topics include, but are not limited
to, sampling theory, Fourier methods, edge detection, radial basis
functions, prolate spheroidal wave functions, hidden Markov models,
time-varying signals, wavelets, and inverse problems.
The course will be team taught by mathematics and engineering faculty and
is cross-listed.