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FEKT-DBM1AAcad. year: 2020/2021
- Signal restoration, optimal and adaptive filtering (Jan) - Spectral analysis of stochastic signals (Kozumplík) - Neronal networks in signal processing and analysis (Jan) - Time-frequency analysis (Provazník) - Formalised restoration of image data (Jan) - Advanced image segmentation (Jan) - Generalised morfological transforms of image data (Jan) - Fusion of image data (Jan)
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Aims
Specification of controlled education, way of implementation and compensation for absences
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Classification of course in study plans
branch PK-EST , 1 year of study, winter semester, elective specialisedbranch PK-TLI , 1 year of study, winter semester, elective specialisedbranch PK-KAM , 1 year of study, winter semester, elective specialisedbranch PK-BEB , 1 year of study, winter semester, elective specialisedbranch PK-TEE , 1 year of study, winter semester, elective specialisedbranch PK-MET , 1 year of study, winter semester, elective specialisedbranch PK-MVE , 1 year of study, winter semester, elective specialisedbranch PK-FEN , 1 year of study, winter semester, elective specialisedbranch PK-SEE , 1 year of study, winter semester, elective specialised
branch PP-BEB , 1 year of study, winter semester, elective specialisedbranch PP-MET , 1 year of study, winter semester, elective specialisedbranch PP-MVE , 1 year of study, winter semester, elective specialisedbranch PP-TLI , 1 year of study, winter semester, elective specialisedbranch PP-FEN , 1 year of study, winter semester, elective specialisedbranch PP-KAM , 1 year of study, winter semester, elective specialisedbranch PP-TEE , 1 year of study, winter semester, elective specialisedbranch PP-EST , 1 year of study, winter semester, elective specialisedbranch PP-SEE , 1 year of study, winter semester, elective specialised
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