Lapidoth Amos (33 results)

Hardcover. Condition: Very Good. as new unused.

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Aug 10, 2009. Condition: gebraucht; sehr gut. Bunte dünne Unterstreichungen im Text, allgemein ein sehr gepflegte Zustand.

Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

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Condition: New. 2nd edition niversity Press NO-PA16APR2015-KAP.

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Hardback. Condition: New. 2°. Written in the intuitive yet rigorous style that readers of A Foundation in Digital Communication have come to expect, this second edition includes entirely new chapters on the radar problem (with Lyapunov's theorem) and intersymbol interference channels, new discussion of the baseband representation of passband noise, and a simpler, more geometric derivation of the optimal receiver for the additive white Gaussian noise channel. Other key topics covered include the definition of the power spectral density of nonstationary stochastic processes, the geometry of the space of energy-limited signals, the isometry properties of the Fourier transform, and complex sampling. Including over 500 homework problems and all the necessary mathematical background, this is the ideal text for one- or two-semester graduate courses on digital communications and courses on stochastic processes and detection theory. Solutions to problems and video lectures are available online.

Hardcover. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Hardcover. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Hardcover. Condition: Brand New. 2nd edition. 922 pages. 9.75x7.00x1.75 inches. In Stock.

Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Written in the intuitive yet rigorous style that readers of A Foundation in Digital Communication have come to expect, this second edition includes entirely new chapters on the radar problem (with Lyapunov's theorem) and intersymbol interference channels, new discussion of the baseband representation of passband noise, and a simpler, more geometric derivation of the optimal receiver for the additive white Gaussian noise channel. Other key topics covered include the definition of the power spectral density of nonstationary stochastic processes, the geometry of the space of energy-limited signals, the isometry properties of the Fourier transform, and complex sampling. Including over 500 homework problems and all the necessary mathematical background, this is the ideal text for one- or two-semester graduate courses on digital communications and courses on stochastic processes and detection theory. Solutions to problems and video lectures are available online.

Hardback. Condition: New. 2°. Written in the intuitive yet rigorous style that readers of A Foundation in Digital Communication have come to expect, this second edition includes entirely new chapters on the radar problem (with Lyapunov's theorem) and intersymbol interference channels, new discussion of the baseband representation of passband noise, and a simpler, more geometric derivation of the optimal receiver for the additive white Gaussian noise channel. Other key topics covered include the definition of the power spectral density of nonstationary stochastic processes, the geometry of the space of energy-limited signals, the isometry properties of the Fourier transform, and complex sampling. Including over 500 homework problems and all the necessary mathematical background, this is the ideal text for one- or two-semester graduate courses on digital communications and courses on stochastic processes and detection theory. Solutions to problems and video lectures are available online.

Condition: New. A fully updated introductory text that derives the key results of digital communication from first principles. Num Pages: 916 pages. BIC Classification: TJKW; UYS. Category: (U) Tertiary Education (US: College). Dimension: 247 x 174 x 45. Weight in Grams: 1920. . 2017. 2nd Edition. Hardcover. . . . . Books ship from the US and Ireland.

Condition: New. A fully updated introductory text that derives the key results of digital communication from first principles. Num Pages: 916 pages. BIC Classification: TJKW; UYS. Category: (U) Tertiary Education (US: College). Dimension: 247 x 174 x 45. Weight in Grams: 1920. . 2017. 2nd Edition. Hardcover. . . . .

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 178 pp. Englisch.

Condition: New. Print on Demand.

Condition: New. Print on Demand.

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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This thesis investigates the channels with an altruistic helper, a party that observes the channel noise - or more generally, the channel state - and produces rate-limited quantization to assist the data transmission. Factors to be considered include various notions of capacity, different assistance revelation, and the effect of message cognizance and feedback.The thesis is structured in two primary parts. In the first part, fourdifferent notions of capacity are considered on the additive noise channels with a helper:The first notion, referred to as the erasures-only capacity, requiresthat the decoder must avoid unconscious errors but may declare decoding failures with a small probability. We prove that on the memoryless modulo-additive noise channels (MMANCs), the erasures-only capacity matches the Shannon capacity. This result is generalized to continuous additive noise channels.The second and third notions considered are the listsize capacity and the cutoff rate. The listsize capacity requires that the decoder generate a list containing all the possible messages, and the p-th moment of the cardinality of that list converge to one for given p > 0. The cutoff rate is similar but restricts the list to messages at least as likely as the transmitted one. It is demonstrated that on the MMANCs, the listsize capacity equals the cutoff rate, and the same result is established on the Gaussian channel with decoder assistance.The fourth notion examined is the zero-error capacity, which requires that the message be decoded exactly with zero probability of error. On the MMANCs, both the scenarios with and without feedback are studied. In its presence, a complete solution of said capacity is provided. In its absence, a solution is provided when the alphabet size is prime. For all other cases, upper and lower bounds on the capacity are derived, leadingto a necessary and sufficient condition for its positivity. Thanks to the help, the zero-error capacity may increase by more than the helpżs rate,and it can be positive yet smaller than one bit.The second part of the thesis focuses on the effects of message cognizance and feedback: In particular, the capacity of a state-dependent discrete memoryless channel (SD-DMC) is derived for the setting where a message-cognizant rate-limited helper observes the state sequence noncausally and providesits description to both encoder and decoder. .Books on Demand GmbH, Überseering 33, 22297 Hamburg 178 pp. Englisch.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering.

Hardcover. Condition: new. Hardcover. Written in the intuitive yet rigorous style that readers of A Foundation in Digital Communication have come to expect, this second edition includes entirely new chapters on the radar problem (with Lyapunov's theorem) and intersymbol interference channels, new discussion of the baseband representation of passband noise, and a simpler, more geometric derivation of the optimal receiver for the additive white Gaussian noise channel. Other key topics covered include the definition of the power spectral density of nonstationary stochastic processes, the geometry of the space of energy-limited signals, the isometry properties of the Fourier transform, and complex sampling. Including over 500 homework problems and all the necessary mathematical background, this is the ideal text for one- or two-semester graduate courses on digital communications and courses on stochastic processes and detection theory. Solutions to problems and video lectures are available online. Fully updated for the second edition, this intuitive yet mathematically rigorous text derives the key results of digital communication from first principles. It includes new chapters on the radar problem and intersymbol interference channels, a more geometric derivation of optimal detection in white Gaussian noise, and over 500 homework problems. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Taschenbuch. Condition: Neu. Information-Theoretic Aspects of Channel State Quantization | Yiming Yan | Taschenbuch | ETH Studies in Information Theory and its Applications | Englisch | 2024 | Hartung-Gorre | EAN 9783866288331 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.

Hardcover. Condition: Brand New. 2nd edition. 922 pages. 9.75x7.00x1.75 inches. In Stock. This item is printed on demand.

Hardcover. Condition: new. Hardcover. Written in the intuitive yet rigorous style that readers of A Foundation in Digital Communication have come to expect, this second edition includes entirely new chapters on the radar problem (with Lyapunov's theorem) and intersymbol interference channels, new discussion of the baseband representation of passband noise, and a simpler, more geometric derivation of the optimal receiver for the additive white Gaussian noise channel. Other key topics covered include the definition of the power spectral density of nonstationary stochastic processes, the geometry of the space of energy-limited signals, the isometry properties of the Fourier transform, and complex sampling. Including over 500 homework problems and all the necessary mathematical background, this is the ideal text for one- or two-semester graduate courses on digital communications and courses on stochastic processes and detection theory. Solutions to problems and video lectures are available online. Fully updated for the second edition, this intuitive yet mathematically rigorous text derives the key results of digital communication from first principles. It includes new chapters on the radar problem and intersymbol interference channels, a more geometric derivation of optimal detection in white Gaussian noise, and over 500 homework problems. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.