Self Paced

Applied Digital Signal Processing (DIT)

Taught by:

This is an introductory course to Digital Signal Processing that can be taken at any time. The course deals with the fundamentals in addition to exploring techniques like filtering, correlation and Fourier analysis. There is an emphasis in applying DSP theory to practical problems.

This is an online introductory course about the analysis and synthesis of digital signals. On completion you will be able to interpret and manipulate a variety of signals such as ECG (electrocardiograms - heart activity) and EEG (electroencephalogram - brain activity). While the course uses familiar signals (such as audio) to illustrate concepts, the content can be applied to a wide range of disciplines, such as telecommunications, energy systems and biomedical science.

Participants develop their signal processing skills by working on practical problems using Matlab or Octave after engaging with video tutorials, online quizzes and other resources.

Topics Covered:

- Feature Identification

- Frequency Domain Analysis of Signals

- Data Visualisation

- Discrete Fourier Transform

- Correlation Techniques

- Discrete Systems

- Filtering Signals

- Signal Synthesis

Suggested Readings:
Understanding Digital Signal Processing (2nd Edition)
The Scientist & Engineer's Guide to Digital Signal Processing