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

By: Monica Borda and Romulus Terebes and Raul Malutan and Ioana Ilea and Mihaela Cislariu and Andreia Miclea and Stefania Barburiceanu

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Synopsis: 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

Book Quality:: Publisher Quality
ISBN-13:: 9783030903145
Related ISBNs:: 9783030903138
Publisher:: Springer International Publishing
Date of Addition:: 01/11/22
Copyrighted By:: The Editor
Adult content:: No
Language:: English
Has Image Descriptions:: No
Categories:: Nonfiction, Computers and Internet, Business and Finance, Technology, Mathematics and Statistics
Submitted By:: Bookshare Staff
Usage Restrictions:: This is a copyrighted book.