Applied Digital Signal Processing

Education facts

Code: 5EL281

This course concerns the application of digital signal processing techniques, with particular focus on methods that enhance the characteristics and information of signals that are recorded in different settings. The course covers topics as sampling and reconstruction of a digital signal, transform methods, Windowing methods, filtering, noise reduction, spectral analysis and system identification. Additionally, the course also covers applications of Wavelets.   The course is given as a series of independent projects. The projects include one- and two-dimensional signal processing and analysis of physiological signals. At least one of the projects is based on data from current research projects within the field of biomedical engineering. Engineers are frequently discovering new ways to process digitals signals using a variety of mathematical formulae and algorithms. Biomedical signal processing involves the application of these methods for analysis of e.g. heart rate, blood pressure, oxygen saturation levels, blood glucose, nerve conduction, brain activity, to provide useful information upon which clinicians can gain insights into the physiological process and aid in clinical assessments.

Entry requirements

For admission to the course at least 90hp are required, including: transform methods 7.5 hp or equivalent, and at least one of the courses Analog circuits 6hp or Physical Measurement Techniques 7.5hp, or equivalent. Proficiency in English equivalent to the level required for basic eligibility for higher studies.

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

• Applied Digital Signal Processing

  Umeå University

  Start date: 18 January 2027

  End date: 25 March 2027

  Pace of study: 50 %