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DM1135 Multimedia Systems and Signals 7.5 credits

The course provides basic theory of and practical examples in media signal processing, with a special focus on media production, and sound and music computing.

About course offering

For course offering

Autumn 2024 mmss programme students

Target group

Open for CMETE

Part of programme

Degree Programme in Media Technology, åk 2, Mandatory


P1 (7.5 hp)


26 Aug 2024
27 Oct 2024

Pace of study


Form of study

Normal Daytime

Language of instruction


Course location

KTH Campus

Number of places

Places are not limited

Planned modular schedule


For course offering

Autumn 2024 mmss programme students

Application code



For course offering

Autumn 2024 mmss programme students


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Course coordinator

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Headings with content from the Course syllabus DM1135 (Autumn 2024–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

The course gives an introduction to signal processing in media technology with a focus on media production and sound and music computing. Examples are provided through existing applications, for example compression of sound and images or manipulation of media content by means of digital filters. The course introduces basic concepts with one-dimensional signals for example speech and music and expands these concepts to multi-dimensional data such as images and video.
Properties for discrete time signals and systems and basic signal manipulations are introduced. These manipulations use finite and infinite impulse response filters. The required signal manipulations are introduced (e g discrete Fourier transform, z-transform), as well as related mathematical operations (e.g convolution, correlation).
The theoretical background will be strongly attuned to practical and laboratory components in lectures and online exercises to relate theory to practical applications in industry.

Intended learning outcomes

Having passed the course, the student should be able to

  • account for the basic mathematical properties in digital media signals
  • explain and apply frequency domain transforms
  • implement and modify digital filters with finite (FIR) and infinite (IIR) impulse response and apply them to media signals
  • explain and compare compression algorithms for media signals
  • recommend appropriate signal processing methods for different areas of media production
  • modify and adapt media applications that use signal processing

in order to

  • be able to adapt, integrate and evaluate signal processing methods in media production and application development.

Literature and preparations

Specific prerequisites

Knowledge and skills in basic programming, 6 credits, corresponding to completed course DD1337/DD1310-DD1319/DD1321/DD1331/DD100N/ID1018

and also at least one of following:

  • knowledge in Linear Algebra, 7,5 credits, corresponding to completed course SF1624/SF1672/SF1684
  • knowledge in Calculus in One Variable, 7,5 credits, corresponding to completed course SF1625/SF1673
  • knowledge in Calculus in Several Variables, 7,5 hp, corresponding to completed course SF1626/SF1674.

Active participation in a course offering where the final examination is not yet reported in Ladok is considered equivalent to completion of the course.
Registering for a course is counted as active participation.
The term 'final examination' encompasses both the regular examination and the first re-examination.

Recommended prerequisites

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Examination and completion

If the course is discontinued, students may request to be examined during the following two academic years.

Grading scale

A, B, C, D, E, FX, F


  • HEM1 - Take-home assignment, 3.0 credits, grading scale: A, B, C, D, E, FX, F
  • LAB1 - Laboratory work, 4.5 credits, grading scale: P, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

HEM1 also includes an individual oral exam based on the homework.

Opportunity to complete the requirements via supplementary examination

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Opportunity to raise an approved grade via renewed examination

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Ethical approach

  • All members of a group are responsible for the group's work.
  • In any assessment, every student shall honestly disclose any help received and sources used.
  • In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.

Further information

Course room in Canvas

Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.

Offered by

Main field of study


Education cycle

First cycle

Add-on studies

No information inserted

Transitional regulations

TEN1 is replaced by HEM1.

Supplementary information

In this course, the EECS code of honor applies, see: