Digital Signal Processing

Advances in integrated circuit technology have had a major impact on where and how digital signal processing techniques and hardware are applied. An understanding of digital signal processing fundamentals and techniques is essential for anyone whose work is concerned with signal processing applications.

This course introduces the basic concepts and principles underlying discrete-time signal processing. Concepts will be illustrated using examples of standard technologies and algorithms.

Topics Include

  • Sampling and multi-rate systems
  • Oversampling and quantization in A-to-D conversion
  • Properties of LTI systems
  • Digital filter design
  • Discrete Fourier Transform and FFT
  • Parametric signal modeling
  • Applications in speech/audio processing, autonomous vehicles and software radio

Students who take the 4-unit version of the course will be expected to complete an additional 4-week project and report.

Course Page
10 weeks, 15-25 hrs/week
Data, Models and Optimization Graduate Certificate Electrical Engineering Graduate Certificate
Stanford School of Engineering