Digital Signal Processing

Theory and applications of signal processing by digital techniques. Difference equations, Z-transform theory, digital-filter design, fast Fourier transform, quantization effects, and discrete estimation. Applications in digital filtering, signal processing, data analysis and smoothing, and image processing. Students should have prerequisite knowledge of signals and systems as covered in EE 383.

Credits

3 credits

Course Code

EE 648