Description: Randomness and Elements of Decision Theory Applied to Signals by Borda, Monica, ISBN 3030903168, ISBN-13 9783030903169, Like New Used, Free shipping in the US 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, th introduces many essential applications to signal processing like denoising, texture classification, histogram equalization, deep learning, or feature extraction. Th uses MATLAB algorithms to demonstrate the implementation of the theory to real systems. This makes the contents of th 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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Book Title: Randomness and Elements of Decision Theory Applied to Signals
Number of Pages: Xvii, 242 Pages
Publication Name: Randomness and Elements of Decision Theory Applied to Signals
Language: English
Publisher: Springer International Publishing A&G
Publication Year: 2022
Subject: Engineering (General), Probability & Statistics / General, Computer Science, Operations Research
Item Weight: 14.2 Oz
Type: Textbook
Subject Area: Mathematics, Computers, Technology & Engineering, Business & Economics
Item Length: 9.3 in
Author: Romulus Terebes, Monica Borda, Raul Malutan, Ioana Ilea, Mihaela Cislariu
Item Width: 6.1 in
Format: Trade Paperback
