Course: Digital Signal Processing credits: 2
- Course code
- ELVH19IDSP
- Name
- Digital Signal Processing
- Study year
- 2022-2023
- ECTS credits
- 2
- Language
- English
- Coordinator
- P.J. Kamphuis
- Modes of delivery
-
- Education
- Assessments
-
- Digital Signal Processing - Assignment
Learning outcomes
The student can:
- Student can apply high/low/band/notch filters in a practical setting
- Student demonstrates her/his DSP skills in the lab sessions
- Student can explain the basic of Fourier series and can apply it in a practical setting
- Student can implement IIR and Butterworth filters with given parameters
- Student can elaborate on the signal acquisition, filtering, the application of signal processing and the use in an IOT environment
- Student is able to extract relevant information from signals in a noisy environment
Content
discrete impulsfunctie, stapfuncties, sinusfuncties, verschoven functies
- theorema van Shannon, Nyquist-frequentie, aliasfrequenties
- digitale versterkers, convolutie, voortschrijdend gemiddelde filters
- discrete laag-, hoog- en banddoorlaat-filters
- simulaties van verschillende discrete systemen
- theorema van Shannon, Nyquist-frequentie, aliasfrequenties
- digitale versterkers, convolutie, voortschrijdend gemiddelde filters
- discrete laag-, hoog- en banddoorlaat-filters
- simulaties van verschillende discrete systemen
Included in programme(s)
School(s)
- Institute of Engineering