Frequency Analysis ELA18GY15-3004 03.01.2022-27.02.2022
Competence objectives of the study unit
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 of the study unit
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
Assessment criteria – satisfactory (1-2)
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 (3-4)
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.
Name of lecturer(s)
03.01.2022 - 27.02.2022
Enrollment date range
15.11.2021 - 09.01.2022
Faculty of Technology and Seafaring
ELA20-V-A (Size: 40.
ELA20-V-E (Size: 40.
ELA20-V-K (Size: 40.
ELA20-V-I (Size: 40.
Teachers and responsibilities
Degree Programme in Electrical Engineering and Automation