Undergraduate Catalog 2017-2018
ENS 322 Signals and Noise
3 hours; 3 credits
Representation and analysis of continuous time (CT), discrete time (DT) signals and systems and an introduction to random variables and processes. Time domain representations of CT and DT systems, Fourier series representation of CT and DT periodic signals; CT and DT Fourier transform: Time and Frequency characterization of signals and systems; Nyquist sampling theorem. Introduction to probability: random variables, normal distribution; expectation, basic stochastic processes and noise.
Prerequisite: ENS 136
Pre or corequisite: MTH 311
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