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SGN-1107 Introductory Signal Processing, 4 op |
Karen Eguiazarian
Luentoajat ja -paikat | Kohderyhmä, jolle suositellaan | |
Toteutus 1 |
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In-class and homework exercises. 70% of lectures and 100% of exercises have mandatory attendance. All the homeworks have to be returned before the last lecture of the course. Grading will be based on in class and homework exercises. No exam.
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Introduction to digital signal (e.g., audio, image and video) processing. Basic signal processing concepts and tools such as discrete-time signals and systems, convolution and correlation, sampling, discrete Fourier transform.
Sisältö | Ydinaines | Täydentävä tietämys | Erityistietämys |
1. | Introduction of different signals, analog vs. digital | ||
2. | Audio & speech - sampling - ADC and DAC - aliasing examples - filtering - spectrum | ||
3. | Image and video processing - aliasing effects - image enhancement - edge detection, etc. | ||
4. | Basic tools: impulse response, convolution Fourier transform |
Course is graded according to in-class and homework exercises. No exam.
Opintojaksolla käytetään numeerista arviointiasteikkoa (1-5)
Tyyppi | Nimi | Tekijä | ISBN | URL | Painos,saatavuus... | Tenttimateriaali | Kieli |
Kirja | "Digital Signal Processing: A Computer-Based Approach" | Sanjit K. Mitra | 0073048372 / 0072865466 | 3rd edition, McGraw-Hill, 2005 | Englanti | ||
Opintomoniste | "Introductory Signal Processing" | Karen Eguiazarian | Englanti |
Opintojakso | Vastaa opintojaksoa | Selite |
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Kuvaus | Opetusmuodot | Toteutustapa | |
Toteutus 1 | Basic Introductory Course on Signal Processing | Luennot Harjoitukset Harjoitustyöt |
Lähiopetus: 0 % Etäopetus: 0 % Itseopiskelu: 0 % |