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Mar 29, 2024
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INFR 3710U – Signals and Random Processes This course covers: i) basics of complex numbers, as well as fundamentals of calculus with an emphasis on integrals, ii) signals and systems classifications; linear, time-invariant systems, impulse response and convolution; Fourier series and Fourier transforms; frequency response and bandwidth, and iii) random variables, probability density and distribution function; Gaussian variables, the central limit theorem, random processes, correlation and spectra of random signals and additive white Gaussian noise. Credit hours: 3 Lecture hours: 3 Tutorial hours: 1.5 Prerequisite(s): INFR 1016U
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