Signal Theory

Course Description

Models of continuous and discrete signals. Classifications. Linear operators. Mapping. Duration, bandwidth and dimensionality of signals. Random signals and their spectra. White and colored noise. Spectrum analysis. Optimum filtering. Parameter estimation. Signal detection. Bit error ratio. Time-frequency signal processing. Concept of instantaneous frequency. Wavelet transform and wavelet filter banks. Applications in de-noising, feature extraction and compression. Quadratic time frequency distributions. Huang-Hilbert transform.

Study Programmes

Postgraduate doctoral study programme

Literature

Yonina C. Eldar (2015.), Sampling theory, University Printing House, Cambridge CB2 8BS, UK
Gotz E. Pfander (ed) (2015.), Sampling Theory, a Renaissance, Birkhauser
Strang G. and Nguyen T (1996.), Wavelets and Filter Banks, Wellesley-Cambridge Press

General

ID 154737
  Winter semester
6 ECTS
L2 English Level