Statistical Physics for Electrical Engineering (Record no. 80678)

000 -LEADER
fixed length control field 03559nam a22005415i 4500
001 - CONTROL NUMBER
control field 978-3-319-62063-3
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220801222344.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 170816s2018 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783319620633
-- 978-3-319-62063-3
082 04 - CLASSIFICATION NUMBER
Call Number 621.3
100 1# - AUTHOR NAME
Author Merhav, Neri.
245 10 - TITLE STATEMENT
Title Statistical Physics for Electrical Engineering
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2018.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XII, 137 p. 21 illus., 3 illus. in color.
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Preface -- Introduction -- Kinetic Theory and the Maxwell Distribution -- Elementary Statistical Physics -- Quantum Statistics – the Fermi–Dirac Distribution -- Quantum Statistics – the Bose–Einstein Distribution -- Interacting Particle Systems and Phase Transitions -- Vibrations in a Solid – Phonons and Heat Capacity -- Fluctuations, Stochastic Dynamics and Noise -- A Brief Touch on Information Theory.
520 ## - SUMMARY, ETC.
Summary, etc The main body of this book is devoted to statistical physics, whereas much less emphasis is given to thermodynamics. In particular, the idea is to present the most important outcomes of thermodynamics – most notably, the laws of thermodynamics – as conclusions from derivations in statistical physics. Special emphasis is on subjects that are vital to engineering education. These include, first of all, quantum statistics, like the Fermi-Dirac distribution, as well as diffusion processes, both of which are fundamental to a sound understanding of semiconductor devices. Another important issue for electrical engineering students is understanding of the mechanisms of noise generation and stochastic dynamics in physical systems, most notably in electric circuitry. Accordingly, the fluctuation-dissipation theorem of statistical mechanics, which is the theoretical basis for understanding thermal noise processes in systems, is presented from a signals-and-systems point of view, in a way that is readily accessible for engineering students and in relation with other courses in the electrical engineering curriculum, like courses on random processes.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-319-62063-3
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2018.
336 ## -
-- text
-- txt
-- rdacontent
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-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Electrical engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Mathematical physics.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Statistics .
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Electrical and Electronic Engineering.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Theoretical, Mathematical and Computational Physics.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Mathematical Methods in Physics.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Mathematical Physics.
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-- ZDB-2-ENG
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-- ZDB-2-SXE

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