Randomness and Elements of Decision Theory Applied to Signals

By: Andreia Miclea, Stefania Barburiceanu, Romulus Terebes, Raul Malutan, Monica Borda

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Paperback | 11 December 2022

At a Glance

Paperback
262 Pages

Dimensions(cm)
23.5 x 15.49 x 1.4

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$109.00

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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

Industry Reviews

"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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