Randomness and Elements of Decision Theory Applied to Signals (Hardcover, 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

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Release date:	December 2021
First published:	2021
Authors:	Monica Borda • Romulus Terebes • Raul Malutan • Ioana Ilea • Mihaela Cislariu • Andreia Miclea • Stefania Barburiceanu
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	242
Edition:	1st ed. 2021
ISBN-13:	978-3-03-090313-8
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Computing & IT > General theory of computing > Mathematical theory of computation Books > Business & Economics > Business & management > Management & management techniques > Operational research Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General
LSN:	3-03-090313-3
Barcode:	9783030903138

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