Introduction to analog and digital signal processing, the course presents and integrates the basic concepts for both continuous-time and discrete-time signals and systems. It addresses the following topics: Fourier series. Convergence of Fourier series. Fourier and inverse Fourier transformations. Fourier spectrum, discrete and continuous signals. Shannon sampling theorem, filter and convolution. Z-transform, linear time-invariance, filter, and system. Impulse (delta-) function, Hilbert transformation, and analytic signal. Physically realizable signals, Hardy spaces, Phase derivative and instantaneous frequency.

CILO-1: Apply the principles of discrete-time signal analysis to perform various signal operations. CILO-2: Identify the signals and systems. CILO-3: Apply the principles of z-transforms to finite difference equations. CILO-4: Apply the principles of Fourier transform analysis to describe the frequency characteristics of discrete-time signals and systems. CILO-5: Apply the principles of signal analysis to filtering. CILO-6: Use computer programming tools to process and visualize signals.