Frequency Analysis (3 cr)
Code: ELA18GY15-3004
General information
Enrollment
15.11.2021 - 09.01.2022
Timing
03.01.2022 - 27.02.2022
Number of ECTS credits allocated
3 op
Mode of delivery
Contact teaching
Unit
Faculty of Technology and Seafaring
Campus
Vasa, Wolffskavägen 33
Teaching languages
- Svenska
Degree programmes
- Degree Programme in Electrical Engineering and Automation
Teachers
- Ray Pörn
Teacher in charge
Ronnie Sundsten
Scheduling groups
- ELA20-V-A (Size: 40. Open UAS: 0.)
- ELA20-V-E (Size: 40. Open UAS: 0.)
- ELA20-V-K (Size: 40. Open UAS: 0.)
- ELA20-V-I (Size: 40. Open UAS: 0.)
Groups
-
ELA20D-VIngenjör (YH), el- och automationsteknik, h20, dagstudier
Small groups
- ELA20-V-A
- ELA20-V-E
- ELA20-V-K
- ELA20-V-I
Objective
After passing the course, the student is expected to understand how a signal is sampled, represented (in the time and frequency plane) and how to interpret and use a frequency spectrum.
Content
Different types of signals
Periodic functions and signals
Fourier series and representation of periodic signals
Sampling and the sampling theorem
Fourier transform and FFT algorithm
Frequency analysis and interpretation of FFT spectrum
Signal analysis in matlab
Evaluation scale
H-5
Assessment criteria, satisfactory (1)
Knows the characteristics of the frequency spectrum for a periodic signal
Knows the characteristics of the frequency spectrum for an aperiodic signal
Can interpret the results of a frequency analysis
Assessment criteria, good (3)
Can use Fourier Series conversion tables to determine the frequency spectrum of some typical signals.
Understands, on a fundamental level, the relationship between the rate of change of the signal and the frequency spectrum of the signal.
Can use a frequency analyzer.
Assessment criteria, excellent (5)
Master the integral technique to determine the fourier coefficients for periodic signals.
Master the transform technique to determine the frequency spectra of aperiodic signals.
Can use a frequency analyzer and is also familiar with the use of Matlab as a tool for frequency analysis.
Qualifications
No prerequisites