Signals And Systems For Hearing And Speech Sciences

3 credits · Graduate School

A hands-on course that covers theory and applications for the communication sciences. The course covers (i) time- and frequency-domain representation of analog signals, and Fourier transforms; (ii) filters, and the effects of analog signals that pass through filters; (iii) impulse responses, system characterization, and the basics of systems identification; and (iv) an introduction to digital signals and systems, with an eye on filter design. The course will assume some familiarity with Matlab, including FOR loops. Requirement: Basic knowledge of Matlab (online Matlab course, or Matlab MOOC); permission of advisor for Ph.D. students and permission of instructor for AuD and SLP students. [3] Ramachandran