Randomness and Elements of Decision Theory Applied to Signals
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Beschreibung
This book offers an overview on the main modern important topics in random variables, random processes, and decision theory for solving real-world problems. After an introduction to concepts of statistics and signals, the book introduces many essential applications to signal processing like denoising, texture classification, histogram equalization, deep learning, or feature extraction.
The book uses MATLAB algorithms to demonstrate the implementation of the theory to real systems. This makes the contents of the book relevant to students and professionals who need a quick introduction but practical introduction how to deal with random signals and processes
This book offers an overview on the main modern important topics in random variables, random processes, and decision theory for solving real-world problems. After an introduction to concepts of statistics and signals, the book introduces many essential applications to signal processing like denoising, texture classification, histogram equalization, deep learning, or feature extraction.
The book uses MATLAB algorithms to demonstrate the implementation of the theory to real systems. This makes the contents of the book relevant to students and professionals who need a quick introduction but practical introduction how to deal with random signals and processes
Offers an overview on the main modern important topics in Random processes Applies the Stochastic theory to essential topics in modern Signal Processing Offers a practical introduction to handle random signals and processes
Autor*in
Monica Borda
Themen in »Randomness and Elements of Decision Theory Applied to Signals«
Random variables Random prcoesses Random Signals Probability distributions Joint random variables pseudo-noise sequence generator Markov processes Decision systems denoising Histogram equalization Pulse code modulation kNN supervised classification Convolutional Neural Network
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“The book follows a tutorial style, with a good listing of various formulae and equations, without developing the theory or including proofs but instead presenting numerous solved problems and MATLAB code.” (Paparao Kavalipati, Computing Reviews, September 21, 2023)
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