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An Introduction to Communication Theory and Systems - John B. Thomas
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John B. Thomas:

An Introduction to Communication Theory and Systems - Paperback

1987, ISBN: 0387966722

[EAN: 9780387966724], New book, [PU: Springer New York Dez 1987], DIRACDELTAFUNCTION; COMMUNICATIONSYSTEM; ELECTRICALENGINEERING; FILTER; FILTERS, This item is printed on demand - it take… More...

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Introduction to Communication Theory and Systems - John B. Thomas
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John B. Thomas:

Introduction to Communication Theory and Systems - Paperback

1987, ISBN: 0387966722

[EAN: 9780387966724], Near Fine, [PU: Springer-Verlag New York Inc.], Ancien livre de bibliothèque. Traces d'usure sur la couverture. Edition 1987. Ammareal reverse jusqu'à 15% du prix ne… More...

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An Introduction to Communication Theory and Systems (Springer Texts in Electrical Engineering) - John B. Thomas
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John B. Thomas:
An Introduction to Communication Theory and Systems (Springer Texts in Electrical Engineering) - Paperback

1987

ISBN: 0387966722

[EAN: 9780387966724], New book, [PU: Springer], Clean and crisp and new!, Books

NEW BOOK. Shipping costs:Free shipping. (EUR 0.00) Welcome Back Books, Toledo, OH, U.S.A. [64434632] [Rating: 5 (of 5)]
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An Introduction to Communication Theory and Systems (Springer Texts in Electrical Engineering) [Soft Cover ] - Thomas, John B.
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Thomas, John B.:
An Introduction to Communication Theory and Systems (Springer Texts in Electrical Engineering) [Soft Cover ] - Paperback

1987, ISBN: 0387966722

[EAN: 9780387966724], New book, [PU: Springer], Books

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Thomas, John B.:
An Introduction to Communication Theory and Systems (Springer Texts in Electrical Engineering) - Paperback

1987, ISBN: 9780387966724

paperback, New book, [PU: Springer]

Shipping costs: EUR 0.00 Newport Coast, CA, Tustin

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Details of the book - An Introduction to Communication Theory and Systems (Springer Texts in Electrical Engineering)


EAN (ISBN-13): 9780387966724
ISBN (ISBN-10): 0387966722
Hardcover
Paperback
Publishing year: 1988
Publisher: Springer

Book in our database since 2008-02-26T22:45:04-05:00 (New York)
Detail page last modified on 2023-07-19T07:05:54-04:00 (New York)
ISBN/EAN: 9780387966724

ISBN - alternate spelling:
0-387-96672-2, 978-0-387-96672-4
Alternate spelling and related search-keywords:
Book author: thomas, john senior
Book title: introduction communication systems, introduction engineering, first look communication theory, electrical engineering, springer texts


Information from Publisher

Author: John B. Thomas
Title: Springer Texts in Electrical Engineering; An Introduction to Communication Theory and Systems
Publisher: Springer; Springer US
349 Pages
Publishing year: 1987-12-08
New York; NY; US
Weight: 0,552 kg
Language: English
53,49 € (DE)
54,99 € (AT)
59,00 CHF (CH)
POD
XI, 349 p.

BC; Communications Engineering, Networks; Hardcover, Softcover / Technik/Elektronik, Elektrotechnik, Nachrichtentechnik; Nachrichtententechnik, Telekommunikation; Verstehen; Dirac delta function; communication; communication system; electrical engineering; filter; filters; Communications Engineering, Networks; EA

1-Introduction.- 1.1-Communication Systems.- 1.2-Statistical Communication Theory.- 1.3-Additional Reading.- 2-Probability and Random Variables.- 2.1-Introductory Remarks.- 2.2-Elements of Set Theory.- 2.3-A Classical Concept of Probability.- 2.4-Elements of Combinatorial Analysis.- 2.5-The Axiomatic Foundation of Probability Theory.- 2.6-Finite Sample Spaces.- 2.7-Fields,?-Fields, and Infinite Sample Spaces.- 2.8-Independence.- 2.9-Random Variables, Discrete and Continuous.- 2.10-Distribution Functions and Densities.- 2.11-The Transformation of Random Variables.- 2.12-Expectation.- 2.13-Moments.- 2.14-The Chebychev Inequality.- 2.15-Generating Functions.- 2.16-The Binomial Distribution.- 2.17- The Poisson Distribution.- 2.18- The Normal or Gaussian Distribution.- 2.19- Limit Theorems.- 2.20- Bivariate Distributions.- 2.21- The Bivariate Normal Distribution.- 2.22- The Multivariate Normal Distribution.- 2.23- Linear Transformations on Normal Random Variables.- Problems.- References.- 3-Random Processes and Spectral Analysis.- 3.1- Definition.- 3.2- Stationarity.- 3.3- Correlation Functions.- 3.4- Time Averages and Ergodicity.- 3.5- Convergence of Random Variables.- 3.6- Fourier Transforms.- 3.7- Integrals of Random Processes.- 3.8- Power Spectra.- 3.9- Shot Noise.- 3.10- Random Events in Time.- 3.11- The Mean and Autocorrelation Function of Shot Noise.- 3.12- The Amplitude Distribution of Shot Noise.- Problems.- References.- 4-Linear Filtering of Stationary Processes:Steady-State Analysis.- 4.1-Introduction.- 4.2-Discrete-Time Filters.- 4.3-Continuous-Time Filters.- 4.4-Complete Statistical Description of the Output of a Linear System.- 4.5-The Orthogonal Decomposition of Random Processes; Fourier Series.- 4.6-The Karhunen-Loeve Expansion.- 4.7-Optimal Truncation Properties of the Karhunen-Loeve Expansion.- 4.8-The Sampling Theorem.- 4.9-Narrow-Band Systems.- 4.10-Narrow-Band Systems with Added Sinusoids.- Problems.- References.- 5-Optimum Linear Systems: Steady-State Synthesis.- 5.1-Introduction.- I -The Matched Filter For Continuous-Time Inputs.- 5.2-Derivation.- 5.3-The Unrealizable Matched Filter in Continuous Time.- 5.4-Spectral Factorization for Continuous-Parameter Random Processes.- 5.5-Solution of the Integral Equation for the Continuous- Time Matched Filter.- II -The Matched Filter for Discrete-Time Inputs.- 5.6-Derivation.- 5.7-The Unrealizable Matched Filter in Discrete Time.- 5.8-Spectral Factorization for Discrete-Parameter Random Processes.- 5.9-Solution of the Integral Equation for the Discrete-Time Matched Filter.- III -The Linear Least-Mean-Squared-Error Filter for Continuous-Time Inputs.- 5.10-Formulation of the LLMSE Filtering and Prediction Problem in Continuous Time.- 5.11-The Unrealizable LLMSE Filter in Continuous Time.- 5.12-Solution of the Integral Equation for the Continuous- Time LLMSE Filter.- 5.13-The Mean-Squared Error for the Continuous-Time Case.- 5.14-The Pure Prediction Problem for the Continuous-Time Case.- IV -The Linear Least-Mean-Squared-Error Filter for Discrete-Time Inputs.- 5.15-Formulation of the LLMSE Filtering and Prediction Problem in Discrete Time.- 5.16-The Unrealizable LLMSE Filter in Discrete Time.- 5.17-Solution of the Integral Equation for the Discrete-Time LLMSE Filter.- 5.18-The Mean-Squared Error for the Discrete-Time Case.- 5.19-The Pure Prediction Problem for the Discrete-Time Case.- Problems.- Appendices.- Appendix A -The Riemann-Stieltjes Integral.- Appendix B -The Dirac Delta Function.- Appendix C -The Transformation of Coordinates.- Appendix D -Fourier Series and the Fourier and Laplace Transforms.- Appendix E -Some Inequalities Including Schwarz’s Inequality.- Appendix F -The Calculus of Variations.- Table-The Unit Normal Distribution.

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