Advanced Signal Processing


Recommended prerequisite for participation in the module

The module builds on basic knowledge of signal processing concepts and algorithms (digital filtering and discrete transfer functions, IIR and FIR filters)

Content, progress and pedagogy of the module

This course provides an overview of advanced digital signal processing techniques and their implementation for different applications.

This course extends the basic signal processing concepts to more complicated problems and advanced techniques. Theory and practical issues in implementations are covered.

Learning objectives


Students must have knowledge about:

  • Parametric spectral analysis (e.g. LPC, Lattice)
  • Adaptive signal processing (e.g. LMS, NLMS)
  • Model-based signal processing (e.g. State-Space, Kalman)
  • Multi-dimensional signal processing (e.g. extension of discrete Fourier transform and convolution theorem)
  • Algorithms for genetic and statistical signal processing
  • Implementation of signal processing techniques for different applications (e.g. in speech recognition, sensor and control systems, communication systems)


  • Must be able to implement the knowledge and techniques given in the course to solve practical problems.
  • Must be able to validate and evaluate the performance of the methods.


  • Must have competencies in problem formulation for different applications and identifying appropriate signal processing techniques to the problem.
  • Must have competencies in applying signal processing methods in the applications.

Type of instruction

As described in §17



Name of examAdvanced Signal Processing
Type of exam
Written or oral exam
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 titleAvanceret signalbehandling
Module codeESNESK1K3
Module typeCourse
Duration1 semester
Language of instructionEnglish
Empty-place SchemeYes
Location of the lectureCampus Aalborg
Responsible for the module


Education ownerMaster of Science (MSc) in Engineering (Electronic Systems)
Study BoardStudy Board of Electronics and IT
DepartmentDepartment of Electronic Systems
FacultyThe Technical Faculty of IT and Design