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Jan 15, 2025
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ENGG 189 - Random Signal Analysis
Spring
Laws and methods of probability are introduced. Concepts such as random variables,
probability distributions for discrete-time and continuous-time signals, and averages
are developed. Random processes and random signals are defined and examined through
temporal correlation functions and Fourier spectral characteristics. The techniques
of linear system analysis, filtering and optimization with random signal and noise
inputs are developed using power spectral density functions. Practical applications,
using computational methods such as FFT, are explored.
Prerequisites & Notes
Prerequisite or corequisite: ENGG 177 or MATH 144.
Credits: 3 s.h.
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