Randomness and Elements of Decision Theory Applied to Signals, 1st ed. 2021

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

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Monica BORDA received the Ph.D. degree from “Politehnica” University of Bucharest, Romania, in 1987. She has held faculty positions at the Technical University of Cluj-Napoca (TUC-N), Romania, where she is an Advisor for Ph.D. candidates since 2000. She is a Professor of Information Theory and Coding, Cryptography and Genomic Signal Processing with the Department of Communications, Faculty of Electronics, Telecommunications and Information Technology, TUC-N. She is also the Director of the Data Processing and Security Research Center, TUC-N. She has conducted research in coding theory, nonlinear signal and image processing, image watermarking, genomic signal processing and computer vision having authored and coauthored more than 100 research papers in referred national and international journals and conference proceedings. She is the author and coauthor of five books. Her research interests are in the areas of information theory and coding, signal, image, and genomic signal processing.

Romulus TEREBEȘ was born in Livada, Romania. He received the BSc degree in electronics and telecommunications from the Technical University of Cluj-Napoca (TUC-N), Cluj-Napoca, Romania, in 1994 and the Ph.D. degree from the University of Bordeaux 1, Talence, France, and TUC-N (co-advised Ph.D. thesis), in 2004. The subject of his Ph.D. thesis dealt with partial-derivative-equation-based image processing techniques. Dr. Terebes is currently an IEEE Signal Processing society member and professor with the Department of Communications, Faculty of Electronics, Telecommunications and Information Technology, TUC-N. His research interests are in the area of image processing and computer vision. His publication list includes 48 articles and proceeding papers indexed in the Web of Science, the Core Collection, 41 being also IEEE Xplore indexed.

Raul MĂLUȚAN received the B.Sc. degree in Telecommunications from Technical University of Cluj Napoca, Romania in 2004 andthe Ph