Study Guide

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

Qualifications

No prerequisites

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.

Materials

Material on Moodle and web-based material.