Signals and Systems

Catalog description

Continuous-time and discrete-time signals and systems; representation and analysis of LTI systems; differential and difference equations, impulse responses, convolution, Convolutional Neural Networks; Fourier series and transforms; Laplace and z-transforms; time/frequency-domain analysis; sampling theorem; signal preprocessing, Machine learning for feature extraction; digital filter design; signal processing toolsets. Prerequisites: take CEE-205 and MATH-250 .