Digital Signal Processing Tools – VGTU

About this course

Digital signal processing tools course aim is to acquire knowledge about modern means of digital signal processing, their operating principles and application possibilities. In this course there are analysed: Finite Impulse Response digital filters, Infinite Impulse Response digital filters, filter structures. For non-linear digital signal processing are analysed Artificial Neural Networks: Single-Layer Perceptron, Multi-Layer Perceptron, Self-Organizing Maps, applications and learning algorithms of the neural networks. Knowledge about digital signal processing tools, its design, modelling and application for audio and image signal processing is acquired. Problems and solutions of digital speech signal processing, modelling and synthesis are analysed. Modern digital signal processors and specialized programming tools are analysed. Students must complete all scheduled laboratory work.

Expected learning outcomes

Students will acquire knowledge about development and improvement of the modern DSP tools, acquire cognitions about their operating principles and application possibilities and abilities to choose a reasoned solution, working individually or in group.

Indicative Syllabus

Digital Signal Processing Tools

Teaching / Learning Methodology

TBA

Recommended Reading

TBA