Randomness and Elements of Decision Theory Applied to Signals
DOI10.1007/978-3-030-90314-5zbMath1479.94001OpenAlexW4205604770MaRDI QIDQ5015264
Stefania Barburiceanu, Raul Malutan, Mihaela Cislariu, Romulus Terebes, Monica Borda, Andreia Miclea, Ioana Ilea
Publication date: 7 December 2021
Full work available at URL: https://doi.org/10.1007/978-3-030-90314-5
Markov processesrandom variablesdenoisingprobability distributionsrandom signalshistogram equalizationdecision systemsconvolutional neural networkpulse code modulationjoint random variableskNN supervised classificationpseudo-noise sequence generatorrandom prcoesses
Introductory exposition (textbooks, tutorial papers, etc.) pertaining to statistics (62-01) Introductory exposition (textbooks, tutorial papers, etc.) pertaining to probability theory (60-01) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Introductory exposition (textbooks, tutorial papers, etc.) pertaining to information and communication theory (94-01) Software, source code, etc. for problems pertaining to information and communication theory (94-04) Statistical decision theory (62Cxx)
Uses Software
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