National University




CEE430 Digital Signal Processing

Lead Faculty: Dr. Mudasser Fraz Wyne

Course Description

Describes all the necessary tools and techniques required to understand and design digital signal processing systems. Topics include: transformations of discrete time signals, the fast Fourier transform, and the z-transform. Advanced topics include: A/D and D/A converters and digital signal filtering.

Learning Outcomes

  • Understand the theory behind DSP implementations.
  • Implement signal processing systems using software tool.
  • Analyze the spectrum of a time-varying signal using frame-based approaches.
  • Understand de-convolution of signals using cepstral domain signal processing methods.
  • Understand how to model signals based on linear predictive analysis methods.
  • Explain the impacts of aliasing in both the frequency domain and the time domain.

Prerequisite