Introduction To Discrete-time Signal Processing

This course covers fundamental digital signal processing (DSP) techniques that form the basis to a wide variety of application areas. Topics include continuous Fourier Transform, discrete-time signals and systems, time domain analysis, solutions of difference equations, Z-transform analysis, Fourier transform (FT), Discrete-time Fourier transform (DTFT), and Discrete Fourier transform (DFT), sampling theorem, and Fourier analysis of linear time-invariant systems. The course also analyzes the broader impacts of DSP in a global, economic, and societal context