Signal Processing

Continuous and discrete signals in time and frequency domain. Sampling and aliasing. Nyquist sampling theorem. Continuous to Discrete (C-to-D) and D-to-C conversion. FIR-filters. IIR-filters. z-transform. LTI-systems, convolution, pulse response, frequency response. Fourier transform, DTFT, DFT. Applying Matlab in signal processing.

Knowledge: Candidate shall
- have overview of basic characteristics of continuous and discrete signals and be able to understand the connection between time domain and frequency domain representation.
- have knowledge of the properties of Linear Time Invariant (LTI) systems and how signals are affected by an LTI system.
- know how Matlab can be used for modeling and processing signals and systems.

Skills: The candidate must be able to
- describe continuous and discrete signals in time and frequency domain.
- describe and analyze LTI systems by employing pulse and frequency responses.
- calculate the output signal from a simple LTI system.
- use of Matlab to analyze and filter discrete signals.

General competence:
The candidate knows basic concepts and understands
the connection between signals and systems.

Lectures, individual exercises and assisted computer exercises.