EEE 391 Basics of Signals and Systems
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Basics of discrete- and continuous-time signals and systems, sinusoids and complex exponentials, phasor representation, spectrum representation, sampling and aliasing, Shannon/Nyquist sampling theorem, finite impulse response (FIR) filters, frequency response of FIR filters, z-transforms, infinite impulse response (IIR) filters, continuous-time signals and systems, linearity, time-invariance, linear time-invariant (LTI) systems, convolution, causality, stability, frequency response of systems, continuous-time Fourier transform.
Credit units: 3 ECTS Credit units: 5, Prerequisite:
MATH 102.
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