Signal Processing for Communications

- Using Matlab
- Discrete Fourier Transform (DFT)
- Z-transform
- DSP system
- FIR and IIR filters
- Modulation (AM/FM)
- Superheterodyne receiver
- Reflections and impedance matching in transmission lines
- Antennas as system components
- Coding theory

Knowledge:
- Be able to apply the discrete Fourier transform (DFT) and the z-transform.
- Be able to explain the structure of a general DSP system.
- Be able to account for the characteristics of FIR and IIR filters.
- Be able to account for the signal structure of modulated signals (AM/FM).
- Be able to explain the principle of superheterodyne receivers.
- Be able to account for reflection and impedance matching in transmission lines.
- Be able to account for antennas as system components.
- Know the basic methods for encoding signals.

Skills:
- Be able to analyze a digital filter in both time and frequency domain.
- Could design digital FIR and IIR filters from given requirements.
- Be able to do calculations on modulated signals.
- Could make simple calculations for transmission lines using the Smith chart.

General competance:
- Be able to use computer tools.

-Lectures
-Assignments

The course is not facilitated for online students.

Mandatory assignments:
It is given approximately 12 exercises and about 2/3 must be approved to be allowed to write the exam.