Publicado por Springer (edition 2023), 2023
ISBN 10: 3031195795 ISBN 13: 9783031195792
Idioma: Inglés
Librería: BooksRun, Philadelphia, PA, Estados Unidos de America
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Añadir al carritoHardcover. Condición: Fair. 2023. The item might be beaten up but readable. May contain markings or highlighting, as well as stains, bent corners, or any other major defect, but the text is not obscured in any way.
Librería: Books Puddle, New York, NY, Estados Unidos de America
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Añadir al carritoCondición: New. 2023rd edition NO-PA16APR2015-KAP.
Librería: Books Puddle, New York, NY, Estados Unidos de America
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Librería: Majestic Books, Hounslow, Reino Unido
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Librería: Biblios, Frankfurt am main, HESSE, Alemania
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Librería: ALLBOOKS1, Direk, SA, Australia
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Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Publicado por Springer International Publishing, Springer Nature Switzerland Mär 2024, 2024
ISBN 10: 3031195825 ISBN 13: 9783031195822
Idioma: Inglés
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 53,49
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware -This book provides the background and the mathematical methods necessary to understand the basic transforms in signal processing and linear systems and probability and random processes to prepare for in depth study of analog and digital communications systems.This tutorial presentation provides developments of Fourier series and other orthogonal series, including trigonometric and complex exponential Fourier series, least squares approximations and generalized Fourier series, and the spectral content of periodic signals.This text thoroughly covers Fourier transform pairs for continuous time signals, Fourier transform properties, and the magnitude and phase of Fourier transforms.The author includes discussions of techniques for the analysis of continuous time linear systems in the time and frequency domains with particular emphasis on the system transfer function, impulse response, system/filter bandwidth, power and energy calculations, and the time domainsampling theorem.The basics of probability and random processes, including the key concepts of expected value, variance, characteristic functions, common probability distributions, autocorrelation, power spectral densities, wide sense stationarity, and ergodicity, are all developed in some detail. Many examples and problems are included to illustrate and examine these topics.¿ Provides developments of Fourier series and other orthogonal series¿ Presents fundamental Fourier transform properties and example applications¿ Discusses techniques for the analysis of continuous time linear systems in the time and frequency domains¿ Presents a fundamental development of probability and random variables¿ Develops the basic ideas of random processes including autocorrelation, power spectral densities, stationarity, and ergodicitySpringer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 164 pp. Englisch.
Publicado por Springer International Publishing, Springer Nature Switzerland Mär 2023, 2023
ISBN 10: 3031195795 ISBN 13: 9783031195792
Idioma: Inglés
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 53,49
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Añadir al carritoBuch. Condición: Neu. Neuware -This book provides the background and the mathematical methods necessary to understand the basic transforms in signal processing and linear systems and probability and random processes to prepare for in depth study of analog and digital communications systems.This tutorial presentation provides developments of Fourier series and other orthogonal series, including trigonometric and complex exponential Fourier series, least squares approximations and generalized Fourier series, and the spectral content of periodic signals.This text thoroughly covers Fourier transform pairs for continuous time signals, Fourier transform properties, and the magnitude and phase of Fourier transforms.The author includes discussions of techniques for the analysis of continuous time linear systems in the time and frequency domains with particular emphasis on the system transfer function, impulse response, system/filter bandwidth, power and energy calculations, and the time domainsampling theorem.The basics of probability and random processes, including the key concepts of expected value, variance, characteristic functions, common probability distributions, autocorrelation, power spectral densities, wide sense stationarity, and ergodicity, are all developed in some detail. Many examples and problems are included to illustrate and examine these topics.¿ Provides developments of Fourier series and other orthogonal series¿ Presents fundamental Fourier transform properties and example applications¿ Discusses techniques for the analysis of continuous time linear systems in the time and frequency domains¿ Presents a fundamental development of probability and random variables¿ Develops the basic ideas of random processes including autocorrelation, power spectral densities, stationarity, and ergodicitySpringer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 164 pp. Englisch.
Publicado por Springer International Publishing, Springer International Publishing, 2024
ISBN 10: 3031195825 ISBN 13: 9783031195822
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 53,49
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides the background and the mathematical methods necessary to understand the basic transforms in signal processing and linear systems and probability and random processes to prepare for in depth study of analog and digital communications systems.This tutorial presentation provides developments of Fourier series and other orthogonal series, including trigonometric and complex exponential Fourier series, least squares approximations and generalized Fourier series, and the spectral content of periodic signals.This text thoroughly covers Fourier transform pairs for continuous time signals, Fourier transform properties, and the magnitude and phase of Fourier transforms.The author includes discussions of techniques for the analysis of continuous time linear systems in the time and frequency domains with particular emphasis on the system transfer function, impulse response, system/filter bandwidth, power and energy calculations, and the time domainsampling theorem.The basics of probability and random processes, including the key concepts of expected value, variance, characteristic functions, common probability distributions, autocorrelation, power spectral densities, wide sense stationarity, and ergodicity, are all developed in some detail. Many examples and problems are included to illustrate and examine these topics.- Provides developments of Fourier series and other orthogonal series- Presents fundamental Fourier transform properties and example applications- Discusses techniques for the analysis of continuous time linear systems in the time and frequency domains- Presents a fundamental development of probability and random variables- Develops the basic ideas of random processes including autocorrelation, power spectral densities, stationarity, and ergodicity.
Publicado por Springer International Publishing, 2023
ISBN 10: 3031195795 ISBN 13: 9783031195792
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 53,49
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Añadir al carritoBuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides the background and the mathematical methods necessary to understand the basic transforms in signal processing and linear systems and probability and random processes to prepare for in depth study of analog and digital communications systems.This tutorial presentation provides developments of Fourier series and other orthogonal series, including trigonometric and complex exponential Fourier series, least squares approximations and generalized Fourier series, and the spectral content of periodic signals.This text thoroughly covers Fourier transform pairs for continuous time signals, Fourier transform properties, and the magnitude and phase of Fourier transforms.The author includes discussions of techniques for the analysis of continuous time linear systems in the time and frequency domains with particular emphasis on the system transfer function, impulse response, system/filter bandwidth, power and energy calculations, and the time domainsampling theorem.The basics of probability and random processes, including the key concepts of expected value, variance, characteristic functions, common probability distributions, autocorrelation, power spectral densities, wide sense stationarity, and ergodicity, are all developed in some detail. Many examples and problems are included to illustrate and examine these topics.- Provides developments of Fourier series and other orthogonal series- Presents fundamental Fourier transform properties and example applications- Discusses techniques for the analysis of continuous time linear systems in the time and frequency domains- Presents a fundamental development of probability and random variables- Develops the basic ideas of random processes including autocorrelation, power spectral densities, stationarity, and ergodicity.
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
EUR 57,46
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Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
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Añadir al carritoPAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Publicado por Springer, Berlin, Springer International Publishing, Springer, 2024
ISBN 10: 3031195825 ISBN 13: 9783031195822
Idioma: Inglés
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 53,49
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book provides the background and the mathematical methods necessary to understand the basic transforms in signal processing and linear systems and probability and random processes to prepare for in depth study of analog and digital communications systems.This tutorial presentation provides developments of Fourier series and other orthogonal series, including trigonometric and complex exponential Fourier series, least squares approximations and generalized Fourier series, and the spectral content of periodic signals.This text thoroughly covers Fourier transform pairs for continuous time signals, Fourier transform properties, and the magnitude and phase of Fourier transforms.The author includes discussions of techniques for the analysis of continuous time linear systems in the time and frequency domains with particular emphasis on the system transfer function, impulse response, system/filter bandwidth, power and energy calculations, and the time domain sampling theorem.The basics of probability and random processes, including the key concepts of expected value, variance, characteristic functions, common probability distributions, autocorrelation, power spectral densities, wide sense stationarity, and ergodicity, are all developed in some detail. Many examples and problems are included to illustrate and examine these topics.- Provides developments of Fourier series and other orthogonal series- Presents fundamental Fourier transform properties and example applications- Discusses techniques for the analysis of continuous time linear systems in the time and frequency domains- Presents a fundamental development of probability and random variables- Develops the basic ideas of random processes including autocorrelation, power spectral densities, stationarity, and ergodicity 156 pp. Englisch.
Publicado por Springer International Publishing Mrz 2023, 2023
ISBN 10: 3031195795 ISBN 13: 9783031195792
Idioma: Inglés
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 53,49
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Añadir al carritoBuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book provides the background and the mathematical methods necessary to understand the basic transforms in signal processing and linear systems and probability and random processes to prepare for in depth study of analog and digital communications systems.This tutorial presentation provides developments of Fourier series and other orthogonal series, including trigonometric and complex exponential Fourier series, least squares approximations and generalized Fourier series, and the spectral content of periodic signals.This text thoroughly covers Fourier transform pairs for continuous time signals, Fourier transform properties, and the magnitude and phase of Fourier transforms.The author includes discussions of techniques for the analysis of continuous time linear systems in the time and frequency domains with particular emphasis on the system transfer function, impulse response, system/filter bandwidth, power and energy calculations, and the time domain sampling theorem.The basics of probability and random processes, including the key concepts of expected value, variance, characteristic functions, common probability distributions, autocorrelation, power spectral densities, wide sense stationarity, and ergodicity, are all developed in some detail. Many examples and problems are included to illustrate and examine these topics.- Provides developments of Fourier series and other orthogonal series- Presents fundamental Fourier transform properties and example applications- Discusses techniques for the analysis of continuous time linear systems in the time and frequency domains- Presents a fundamental development of probability and random variables- Develops the basic ideas of random processes including autocorrelation, power spectral densities, stationarity, and ergodicity 164 pp. Englisch.
Publicado por Springer, Berlin|Springer International Publishing|Springer, 2024
ISBN 10: 3031195825 ISBN 13: 9783031195822
Idioma: Inglés
Librería: moluna, Greven, Alemania
EUR 47,23
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Añadir al carritoKartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book provides the background and the mathematical methods necessary to understand the basic transforms in signal processing and linear systems and probability and random processes to prepare for in depth study of analog and digital communications sy.