Digital Signal Processing

2019/2020

Prerequisite/Recommended prerequisite for participation in the module

Mathematics 3 (B.Sc. Biomedical Engineering) or Calculus 2 (B.Sc. Robotics)

Content, progress and pedagogy of the module

Learning objectives

Knowledge

Have an understanding of

  • Time series and discrete systems
  • Difference equations
  • Linear time-invariant (LTI) systems
  • Eigenfunctions of LTI systems
  • Frequency response of LTI systems
  • Discrete-time Fourier transform (DTFT) and its properties
  • Discrete Fourier transform (DFT and FFT) and its properties
  • Sampling, aliasing, signal reconstruction, ADC, DAC
  • z-transform and its properties, inverse z-transform
  • Convolution
  • LTI systems with generalized linear phase
  • Minimum phase systems

Skills

  • Be able to use the above mentioned mathematical methods to design linear time-invariant (LTI) systems for spectral analysis of real signals.

Type of instruction

Lectures and problem solving

Exam

Exams

Name of examDigital Signal Processing
Type of exam
Written or oral exam
ECTS5
Assessment7-point grading scale
Type of gradingInternal examination
Criteria of assessmentThe criteria of assessment are stated in the Examination Policies and Procedures

Facts about the module

Danish titleDigital signalbehandling
Module codeSTIST14B4_2
Module typeCourse
Duration1 semester
SemesterSpring
ECTS5
Language of instructionEnglish
Empty-place SchemeYes
Location of the lectureCampus Aalborg
Responsible for the module

Organisation

Study BoardBoard of studies of Sports Science and Public Health
DepartmentDepartment of Health Science and Technology
FacultyThe Faculty of Medicine