- Student can reason about sampling and reconstruction.
- Student can reason about properties of discrete signals and systems, like linearity, time invariance, causality and stability.
- Student can reason about non uniqueness of discrete frequencies and aliasing and how it can be avoided.
- Student can solve linear difference equations using a general technique involving convolution and a concise more limited technique, using the transfer function of a discrete system.
- Student understands the frequency perspective given by the Discrete Time Fourier Transform and its properties.
- Student understands the frequency perspective given by the Discrete Fourier Transform and its properties.
- Student understands and can use the Fast Fourier Transform and its properties. Student understands and can use the z transform and its properties, in particular for stability and to solve linear difference equations.
- Student can design an IIR filter using the bilinear transform.
- Student can design an FIR filter using the window method.
- Student knows the importance of linear phase filters and effect of windowing in the frequency domain.
- Students can down- and upsample a signal.
- Student can investigate the spectral content (for example the SNR) from finite measurements.
- Student is introduced to a selection of 2D DSP topics representing classical and modern approaches. This topic is optional and is excluded from the exam.
This course presents a wide range of introductory topics in the field of digital signal processing, both theoretical and practical. |
Tests consist of one written DSP test and pass/fail labwork. There is one written DSP resit and a single opportunity to repair failed DSP labwork. If the labwork has been passed final grade = DSP Grade, otherwise 1.