SIGNAL PROCESSING AND DSP
 
Taught in 4th year ElectronicsSection design techniques
Theory [A] 37.5
Exercises [B] 25.0
Training and projects [C] 0.0
Studytime [D] 170.0
Studypoints [E] 6
Level  
Credit contract? Unrestricted access
Examination contract?
Language of instruction Dutch
Lecturer Paul DEVOS
Reference IIELKO04A03948
 
Key words


Objectives

Knowledge of linear treatment of signals ( filters ) in continuous and in
discrete time.


Topics

Fourier and Laplace transform.
Analogue filters: characteristics and aproximations, passive synthesis,
active synthesis with 1 opamp, with more opamps.
DSP: discrete time systems, sampling, z-transform, analysis in the z-plane,
sructures, filter design: IIR and FIR, discrete Fourier transform, FFT.


Prerequisites

3rd year Ind. Eng. electronics


Final Objectives


Materials used
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Schaum's series: Digital signal processing, Hayes.
slides


Study costs


Study guidance


Teaching Methods

lectures and labs


Assessment
Examination (written / oral) and assignments

However, if a student gains a score of 7 or less on 20 on one of the different courses (parts of training items), he proves that his skill for certain subcompetencies is insufficient. Consequently, one can turn from the arithmetical calculation of the final assignment of quotas of a training item and the new marks can be awarded on consensus. Of course the examiners can judge that the arithmetic regulations mentioned in the study index card can also be used for 7 or less. For each deviation a detailed motivation ought to be drawn up. In that case one should point out that the skill for this subcompetency is proven to be insufficient, if the student didn’t pass the partim that is considered to be important for certain subcompetencies.

Lecturer(s)
Paul RAES