Applied Digital Signal Processing, 7.5 Credits

Contents

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.

Expected learning outcomes

After completing the course, students are to be able to:

Knowledge and Understanding
*    Explain in detail principles of digital filtering and signal modeling
*    Describe in detail the types of disturbances that can affect the measurement results and methods for minimizing these

Competence and skills
*    Plan and carry out activities to solve qualified tasks in the area of signal processing and signal analysis, individually and in student groups
     according to a project-based methodology
*    Signal process and analyze complex and noisy measurement signals
*    Construct a signal analysis system
*    Use statistical methods to estimate quantities and relationships between quantities that are not directly measurable
*    Assess the different method's possibilities and limitations for specific practical problems in the area of signal analysis and signal processing
*    Demonstrate ability for teamwork and group collaboration within the framework of the course's project work
*    Report on and discuss results, conclusions and knowledge from project work in the area, in written form and orally

Judgement and approach
*    reflect over possibilities and challenges when applying digital signal processing on physiological signals such as electrical potentials from
     the heart or muscles

Required Knowledge

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 Swedish upper Secondary course English A/5.

Form of instruction

The course includes mandatory projects, where each project normally is performed in a group of at least three students, guided with supervision. Experimental work and project work are fundamental parts of the course.

Examination modes

The examination is carried out in the form of oral and written presentations of the project work. The project work is linked to current medical technical research or development work and the number of works can therefore vary (usually between 2 - 5) depending on the content and scope at the current course occasion. After completing the course, one of the grades Fail (U) or Pass (G) is given. In order to obtain the grade Pass (G), it is required that all written reports and all oral presentations are approved.

Students who do not pass are offered further accounting occasions according to a set schedule. A student who has taken two examinations in a course or part of a course, has the right to have another examiner appointed, unless there are specific reasons against it (HF 6 Chap. 22 §). Requests for new examiners are submitted to the head of the Department of Applied Physics and Electronics.