Description: 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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EAN: 9783030903138
UPC: 9783030903138
ISBN: 9783030903138
MPN: N/A
Book Title: Randomness and Elements of Decision Theory Applied
Item Length: 23.4 cm
Item Weight: 0.54 kg
Subject Area: Data Analysis
Item Height: 235 mm
Item Width: 155 mm
Author: Monica Borda, Mihaela Cislariu, Raul Malutan, Andreia Miclea, Ioana Ilea, Romulus Terebes, Barburiceanu Stefania
Publication Name: Randomness and Elements of Decision Theory Applied to Signals
Format: Hardcover
Language: English
Publisher: Springer Nature Switzerland Ag
Subject: Engineering & Technology, Computer Science, Mathematics, Management
Publication Year: 2022
Type: Textbook
Number of Pages: 232 Pages
