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Before choosing course

The fundamental part gives knowledge of the theoretical background of signal analysis, e.g., Fourier analysis, FFT, DFT, correlation, signals and linear systems and the Z-transforms and digital filters. In the application part signal analysis is used in some important applications.

Course offering missing for current semester as well as for previous and coming semesters
* Retrieved from Course syllabus SD2130 (Autumn 2007–)

Content and learning outcomes

Course contents

Fundamental part: Amplitude characterisation, classification of signals, Fourier analysis and Laplace transforms in signal analysis, discrete signals (sampling, averaging, DFT, FFT, windowing), spectrum analysers, correlation methods, signals and linear systems - frequency response functions, the coherence function. Z-transforms and digital filtering.

The students will get practical training in using the theoretical concepts and signal analysis methods by computer exercises.

Application part: In the laboratory exercises signal analysis methods are used in two important applications in sound and vibration analysis: sound intensity measurements and active control of sound and vibration.

Intended learning outcomes

The aim of the first part of the course is to give the students knowledge about the theoretical foundations of signal analysis, and ability to apply this knowledge for analysis of mechanical systems. The aim of the application part of the course is to acquire knowledge and practical ability in important methods in analysis of mechanical systems.

The student should after finishing the course be able to:

  • Use a signal analyser (FFT-analyser) and be able to choose the measurement setup: frequency range, length of time record, time windows, number of averages etc.
  • Perform signal analysis on measured time record in Matlab.
  • Choose appropriate signal analysis methodology for a given problem. For example choosing between time or frequency domain analysis, one-channel or multi-channel analysis, different types of filtering etc.
  • Interpret results from different types of signal analysis, for instance spectra, correlation functions or frequency response functions.
  • Be able to extract information about the character of the studied signal such as periodicity, time delays and linearity.

Course Disposition

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Literature and preparations

Specific prerequisites

Basic courses in mathematics, mechanics and noise control.

Recommended prerequisites

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Compendium: H. Bodén, K. Ahlin, U Carlsson, Signals and Mechanical Systems, KTH Aeronautical and Vehicle Engineering.

Collected additional material.

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


  • INL1 - Assignments, 1,0 hp, betygsskala: P, F
  • LAB1 - Laboratory Work, 3,0 hp, betygsskala: P, F
  • TEN1 - Examination, 4,0 hp, betygsskala: A, B, C, D, E, FX, 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.

Other requirements for final grade

Written tests (TEN1; 4 university credits).
Computer and laboratory exercises (LAB1; 3 university credits),
Assignments (INL1; 1 university credits).

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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Profile picture Hans Bodén

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 web

Further information about the course can be found on the Course web at the link below. Information on the Course web will later be moved to this site.

Course web SD2130

Offered by

SCI/Aeronautical and Vehicle Engineering

Main field of study

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Education cycle

Second cycle

Add-on studies

SD2145 Vibro-Acoustics
SD2165 Acoustical Measurements
SD2150 Experimental Structure Dynamics
SD2155 Flow Acoustics
SD2170 Energy Methods
SD2175 Numerical Methods for Acoustics and Vibration
SD2180 Non-Linear Acoustics
SD2185 Ultrasonics
SD2190 Vehicle Acoustics and Vibration