•   Frequency Analysis ELA18GY15-3004 03.01.2022-27.02.2022  3 credits  (ELA20D-V) +-
    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.
    Prerequisites
    No prerequisites
    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
    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)

    Ronnie Sundsten

    Teaching language

    Swedish

    Timing

    03.01.2022 - 27.02.2022

    Enrollment date range

    15.11.2021 - 09.01.2022

    Group(s)
    • ELA20D-V
    Responsible unit

    Faculty of Technology and Seafaring

    Small group(s)
    • ELA20-V-A (Size: 40.
    • ELA20-V-E (Size: 40.
    • ELA20-V-K (Size: 40.
    • ELA20-V-I (Size: 40.
    Teachers and responsibilities

    Ray Pörn

    Degree Programme(s)

    Degree Programme in Electrical Engineering and Automation

    Campus

    Vasa, Wolffskavägen 33

    Assessment scale

    H-5