Contents: Amplitude characterization, DFT, FFT, signals and linear systems, correlation, power spectral density, spectrum analysis with FFT. z-transform and digital filters, frequency analysis with filters, applications.
FSD3140 Signal Analysis 5.0 credits
Information per course offering
Information for Autumn 2025 Start 27 Oct 2025 programme students
- Course location
KTH Campus
- Duration
- 27 Oct 2025 - 12 Jan 2026
- Periods
Autumn 2025: P2 (5 hp)
- Pace of study
25%
- Application code
10653
- Form of study
Normal Daytime
- Language of instruction
English
- Course memo
- Course memo is not published
- Number of places
Places are not limited
- Target group
- No information inserted
- Planned modular schedule
- [object Object]
- Schedule
- Schedule is not published
- Part of programme
- No information inserted
Contact
Course syllabus as PDF
Please note: all information from the Course syllabus is available on this page in an accessible format.
Course syllabus FSD3140 (Autumn 2018–)Headings with content from the Course syllabus FSD3140 (Autumn 2018–) are denoted with an asterisk ( )
Content and learning outcomes
Course contents
Intended learning outcomes
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.
Literature and preparations
Specific prerequisites
Courses in mathematics on master level including Fourier analysis and Laplace transforms.
Literature
Signals and Mechanical Systems, H. Boden, K. Ahlin and U. Carlsson.
Additional handouts.
Examination and completion
Grading scale
P, F
Examination
- TEN1 - Exam, 2.5 credits, grading scale: G
- INL1 - Assignment, 2.5 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.
If the course is discontinued, students may request to be examined during the following two academic years.
Other requirements for final grade
Home assignment.
Written or oral exam.
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
Education cycle
Third cycle