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Course detail
FEKT-MPC-ZPDAcad. year: 2022/2023
The course is dedicated to the analysis of digital signals in time and frequency domain. Emphasis is placed on the orthogonal transformation in particular DFT, fast algorithms FFT, and wavelet transformations. Part of the course is devoted to mathematical perations with time series and digital filtering.
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Learning outcomes of the course unit
Prerequisites
Co-requisites
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Literature
Planned learning activities and teaching methods
Assesment methods and criteria linked to learning outcomes
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Work placements
Course curriculum
1. Introduction to signal processing 2. Time series analysis 3. Convolution, Fourier transform
Aims
Specification of controlled education, way of implementation and compensation for absences
Classification of course in study plans
Lecture
Teacher / Lecturer
Exercise in computer lab