Signal/Data Processing Systems

2022/2023

Content, progress and pedagogy of the module

Learning objectives

Knowledge

  • 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

Skills

  • 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

Competences

  • 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.
 

Exam

Exams

Name of examSignal/Data Processing Systems
Type of exam
Oral exam based on a project
ECTS15
Permitted aids
All written and all electronic aids
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 codeF-MTK-K2-1
Module typeProject
Duration1 semester
SemesterSpring
ECTS15
Language of instructionDanish and English
Empty-place SchemeYes
Location of the lectureCampus Aalborg
Responsible for the module

Organisation

Study BoardStudy Board of Mathematical Sciences
DepartmentDepartment of Mathematical Sciences
FacultyFaculty of Engineering and Science