Signal/Data Processing Systems


Content, progress and pedagogy of the module

Learning objectives


  • must have knowledge about one- and two-dimensional signal/data representations
  • must have knowledge about how sparse representations and/or statistical techniques influence real-world data/signals
  • must have knowledge about at least one of the following aspects:
  1. classical and Bayesian statistical methods for processing of noisy signals
  2. simulation techniques and Markov chain and Monte Carlo methods
  3. compressed signal/data representations


  • Must be able to apply relevant theories, methods and techniques to ensure that at least one of the following requirements is satisfied:
  1. is able to use Bayesian and/or hierarchical statistical methods to analyse time series and lattice data and to evaluate the validity of the results obtained
  2. is able to use compressed signal/data representations on real or synthetic data and be able to evaluate the quality of the signal/data reconstruction


  • must be able to communicate results of statistical analyses and/or sparse representation techniques to non-specialists within advanced signal processing
  • must be able to develop statistical models and/or sparse representations suitable for analysis of real-world signals such as noisy digital images or communication signals
  • must be able to use sparse representations and/or statistical methods to solve a given practical problem and, if needed, make minor adjustments to the methods to obtain the wanted functionality
  • must be able to communicate research-based knowledge and discuss the professional and scientific problems to peers inside and outside of mathematics and technology

Type of instruction

Project work.

Extent and expected workload

This is a 15 ECTS project module and the work load is expected to be 450 hours for the student.



Name of examSignal/Data Processing Systems
Type of exam
Oral exam based on a project
Permitted aids
All written and all electronic aids
Der henvises til den pågældende semesterbeskrivelse/modulbeskrivelse
Assessment7-point grading scale
Type of gradingExternal examination
Criteria of assessmentThe criteria of assessment are stated in the Examination Policies and Procedures

Facts about the module

Danish titleSignal/databehandlende systemer
Module code22KMTK2PRO15
Module typeProject
Duration1 semester
Language of instructionDanish and English
Empty-place SchemeYes
Location of the lectureCampus Aalborg
Responsible for the module


Education ownerMaster of Science (MSc) in Engineering (Mathematical Engineering)
Study BoardStudy Board of Mathematical Sciences
DepartmentDepartment of Mathematical Sciences
FacultyThe Faculty of Engineering and Science