Embedded Signal Processing Systems

10 credits

Syllabus, Bachelor's level, 1TE682

A revised version of the syllabus is available.
Education cycle
First cycle
Main field(s) of study and in-depth level
Technology G2F
Grading system
Pass with distinction, Pass with credit, Pass, Fail
Finalised by
The Faculty Board of Science and Technology, 24 October 2016
Responsible department
Department of Electrical Engineering

Entry requirements

60 credits in Science and Technology, including Computer Architecture, Imperative and Object-Oriented Programming Methodology, a basic course in mathematics and Linear Algebra and Geometry I. Digital Technology and Electronics as well as Transform Methods should have been attended.

Learning outcomes

After a successfully completed course, the student will be able to:

  • explain the basic theory of linear time-invariant systems and their properties, such as stability and causality,
  • explain the basic theory of Fourier analysis of signal processing systems,
  • analyse and synthesise basic analogue filters and implement active and passive antialiasing and reconstruction filters,
  • explain the basic principles of sampling of continuous-time signals including sampling criterion and signal reconstruction,
  • analyse and synthesise simple digital filters,
  • implement digital filters in a signal processor (DSP),
  • demonstrate through measurements that a complete digital signal processing systems, from analogue input to analogue output, meets a given specification.


Ohm's and Kirchhoff's laws in the complex form and the concept of impedance. Passive and active analogue filters and the concepts of transfer function, cutoff frequency and Bode plots. Operational Amplifier. Fourier, Laplace and z transformation of continuous and discrete signals and systems. Sampling theorem. The concepts of poles, zeros and amounts surfaces. Stability and causality. Analysis and synthesis of analogue and digital filters. Auto- and cross-correlation, matched filters. Examples of applications. Implementation of digital filters in signal processors (DSP), choice of filter architecture with regard to the numerical limitations, real-time programming of DSPs in an imperative language.


Lectures, lessons, lab exercises and assignments.


Written (3 hp) and oral (1 hp) exam on the theory of signals and systems, laboratory (2 hp) and oral and written presentation of assignments (4 hp).

Other directives

The course may not be included in a degree together with 1TE661, Signals and Systems.