SGN-11006 Basic Course in Signal Processing, 5 cr

Vastuuhenkilö

Atanas Gotchev

Opetus

Toteutuskerta Periodi Vastuuhenkilö Suoritusvaatimukset
SGN-11006 2016-01 1 - 2 Atanas Gotchev

Osaamistavoitteet

Students will learn the basics of signal processing. They will become aware of signals as means for carrying on and conveying information. The fundamental concept of transforming phenomena being continuous in nature (continuous in tame, space or scale) into discrete sequences will be taught. Signal representations in the form of sequences and vectors will be conceptualised. Students will learn how to process such signals in time and transform domains and implement basic operations such as correlation, convolution, linear filtering. They will get the meaning, properties and calculation of Fourier and z transforms and learn how to characterise signal processing systems in terms of their linearity and shift invariance.

Sisältö

Sisältö Ydinsisältö Täydentävä tietämys Erityistietämys
1. Introduction of different signals, analog vs. digital   Signals as information carriers  Dimensionality and spaces 
2. Sampling - ADC and DAC - aliasing - filtering - spectrum   Sampling theorems  Sampling and signal expansions. Interpolation.  
3. Basic tools: impulse response, convolution Fourier transform   Circulant matrices   Fourier analysis 
4. Signal analysis     Spectral analysis 
5. LTI systems in Fourier and z-transform domains   System properties  Inverse transforms 
6. DSP algorithms implementation     implementation 

Oppimateriaali

Tyyppi Nimi Tekijä ISBN URL Lisätiedot Tenttimateriaali
Book   Digital Signal Processing: A Computer-Based Approach   Sanjit Mitra         No   
Book   Foundations of Signal Processing   Vetterli / Kovacevic / Goyal         No   
Online book   The Scientist and Engineer's Guide to Digital Signal Processing   Steven W. Smith         No   



Vastaavuudet

Opintojakso Vastaa opintojaksoa  Selite 
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Päivittäjä: Värri Alpo, 08.04.2016