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FSD3141 Engineering Applications of Signal Analysis 7.5 credits

Information per course offering

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Course syllabus as PDF

Please note: all information from the Course syllabus is available on this page in an accessible format.

Course syllabus FSD3141 (Autumn 2018–)
Headings with content from the Course syllabus FSD3141 (Autumn 2018–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

Signal analysis with focus on sound and vibration applications.

Contents: Probability functions and amplitude measures, correlation and spectral density, single-input / single-output relations, system identification and response, propagation-path identification, single -input I / multiple-output relations, multiple -input /multiple-output relations , energy-source identification, statistical enors in estimates.

Intended learning outcomes

The student should after finishing the course be able to:

  • Use probability functions and amplitude measures to analyze and characterize signals.
  • Apply correlation and spectral density techniques in sound and vibration problems.
  • Understand how to use single-input / single-output relations for system identification, including the effect of additional noise disturbances and correlated inputs.
  • Be able to choose an appropriate system identification technique and to estimate random and bias errors in frequency response estimates.
  • Be able to choose appropriate signal analysis techniques for propagation-path identification.
  • Be able to use single -input / multi-output relations for sound and vibration applications.
  • Be able to use multi -input / multi-output relations fOr sound and vibration applications.
  • Be able to use energy-source identification techniques including coherent output spectra.
  • Be able to estimate statistical errors in estimates of different types of spectra and functions.

Literature and preparations

Specific prerequisites

A basic course in signal analysis and courses in mathematics on the master level including Fourier analysis and Laplace transforms.

Recommended prerequisites

No information inserted

Equipment

No information inserted

Literature

Engineering Applications of correlation and spectral analysis. J.S. Bendat and A.G. Piersol

Examination and completion

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

Grading scale

P, F

Examination

  • INL1 - Assignment, 4.0 credits, grading scale: G
  • TEN1 - Examen, 3.5 credits, grading scale: G

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

Active participation in course seminars.

Home assignments.

Opportunity to complete the requirements via supplementary examination

No information inserted

Opportunity to raise an approved grade via renewed examination

No information inserted

Examiner

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

This course does not belong to any Main field of study.

Education cycle

Third cycle

Add-on studies

No information inserted

Contact

Karl Bolin (kbolin@kth.se)

Postgraduate course

Postgraduate courses at SCI/Aeronautical and Vehicle Engineering