Randomness and Elements of Decision Theory Applied to Signals

Borda, Monica; Terebes, Romulus; Malutan, Raul; Ilea, Ioana; Cislariu, Mihaela; Miclea, Andreia; Barburiceanu, Stefania

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

Details

Published by: Springer

Publication Date: 2022-12-11

Format: Paperback

ISBN-13: 9783030903169

DOI: 10.1007/978-3-030-90314-5

Dimensions: 235cm x155cm

Pages: 242