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ENGS 110 - Signal Processing

Description

Continuous and discrete time signals and systems. The discrete Fourier Transform and the fast Fourier Transform. Linear filtering of signals and noise. Characterization of random signals using correlation functions and power spectral densities. Problems will be assigned which require the use of the computer.

Prerequisites

ENGS 32 and ENGS 92 or equivalents

Offered

Term
Time
Location / Method
Instructor(s)
Term: Spring 2023
Time: C
Location:
Instructors:

Eric W. Hansen


Term: Spring 2022
Time: 10
Location:
Instructors:

Thayer Faculty


Term: Spring 2021
Time: C
Location:

Remote with synchronous components

Instructors:

Eric W. Hansen