Signals, Systems, and Data I

5 credits

Introduction to signal processing, including both continuous- and discrete-time signals and systems. Basic signals including impulses, unit steps, periodic signals and complex exponentials. Convolution of signals. Fourier series and transforms. Linear, time-invariant filters. Computer laboratory. Course overlaps with: E E 235; B EE 235; B EE 341; and TCES 310. Prerequisite: either MATH 135, MATH 207, or AMATH 351, any of which may be taken concurrently; and either E E 241 or CSE 163. Offered: AWSp.