Digital Signal Processing

(3 Credit Hours) · Undergraduate

An introduction to the theory and application of digital information processing: analog/digital and digital/analog conversion, transform domain representation of discrete-time signals and systems, Z-transform, signal flow graphs, discrete Fourier transform, fast Fourier transforms, frequency analysis, filter design, filter structures, Wiener filter, finite-precision effects, applications in communications, and the analysis and synthesis of audio and image data.