Source coding theory has as its goal the characterization of the optimal performance achievable in idealized communication systems which must code an information source for transmission over a digital communication or storage channel for transmission to a user. The user must decode the information into a form that is a good approximation to the original. A code is optimal within some class if it achieves the best possible fidelity given whatever constraints are imposed on the code by the available channel. In theory, the primary constraint imposed on a code by the channel is its rate or resolution, the number of bits per second or per input symbol that it can transmit from sender to receiver. In the real world, complexity may be as important as rate. The origins and the basic form of much of the theory date from Shan non’s classical development of noiseless source coding and source coding subject to a fidelity criterion (also called rate-distortion theory) [73] [74]. Shannon combined a probabilistic notion of information with limit theo rems from ergodic theory and a random coding technique to describe the optimal performance of systems with a constrained rate but with uncon strained complexity and delay. An alternative approach called asymptotic or high rate quantization theory based on different techniques and approx imations was introduced by Bennett at approximately the same time [4]. This approach constrained the delay but allowed the rate to grow large.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Source coding theory has as its goal the characterization of the optimal performance achievable in idealized communication systems which must code an information source for transmission over a digital communication or storage channel for transmission to a user. The user must decode the information into a form that is a good approximation to the original. A code is optimal within some class if it achieves the best possible fidelity given whatever constraints are imposed on the code by the available channel. In theory, the primary constraint imposed on a code by the channel is its rate or resolution, the number of bits per second or per input symbol that it can transmit from sender to receiver. In the real world, complexity may be as important as rate. The origins and the basic form of much of the theory date from Shan non's classical development of noiseless source coding and source coding subject to a fidelity criterion (also called rate-distortion theory) [73] [74]. Shannon combined a probabilistic notion of information with limit theo rems from ergodic theory and a random coding technique to describe the optimal performance of systems with a constrained rate but with uncon strained complexity and delay. An alternative approach called asymptotic or high rate quantization theory based on different techniques and approx imations was introduced by Bennett at approximately the same time [4]. This approach constrained the delay but allowed the rate to grow large.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
EUR 16,00 für den Versand von Deutschland nach USA
Versandziele, Kosten & DauerEUR 2,27 für den Versand innerhalb von/der USA
Versandziele, Kosten & DauerAnbieter: Antiquariat Bookfarm, Löbnitz, Deutschland
Hardcover. Ex-library with stamp and library-signature. GOOD condition, some traces of use. Ancien Exemplaire de bibliothèque avec signature et cachet. BON état, quelques traces d'usure. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. C 514 9780792390480 Sprache: Englisch Gewicht in Gramm: 550. Bestandsnummer des Verkäufers 2502871
Anzahl: 1 verfügbar
Anbieter: Better World Books: West, Reno, NV, USA
Zustand: Very Good. Used book that is in excellent condition. May show signs of wear or have minor defects. Bestandsnummer des Verkäufers 14511002-6
Anzahl: 1 verfügbar
Anbieter: Better World Books: West, Reno, NV, USA
Zustand: Very Good. Former library book; may include library markings. Used book that is in excellent condition. May show signs of wear or have minor defects. Bestandsnummer des Verkäufers 17500267-6
Anzahl: 1 verfügbar
Anbieter: ThriftBooks-Dallas, Dallas, TX, USA
Hardcover. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 1.15. Bestandsnummer des Verkäufers G0792390482I3N00
Anzahl: 1 verfügbar
Anbieter: HPB-Red, Dallas, TX, USA
Hardcover. Zustand: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! Bestandsnummer des Verkäufers S_329225926
Anzahl: 1 verfügbar
Anbieter: Better World Books Ltd, Dunfermline, Vereinigtes Königreich
Zustand: Good. Ships from the UK. Former library book; may include library markings. Used book that is in clean, average condition without any missing pages. Bestandsnummer des Verkäufers 10077474-6
Anzahl: 1 verfügbar
Anbieter: Moe's Books, Berkeley, CA, USA
Hard cover. Zustand: Good. No jacket. Ex library with typical labeling on spine, covers, inside cover. Main text clean and unmarked. Bestandsnummer des Verkäufers 1127081
Anzahl: 1 verfügbar
Anbieter: GreatBookPrices, Columbia, MD, USA
Zustand: New. Bestandsnummer des Verkäufers 269220-n
Anzahl: Mehr als 20 verfügbar
Anbieter: Lucky's Textbooks, Dallas, TX, USA
Zustand: New. Bestandsnummer des Verkäufers ABLIING23Feb2416190185602
Anzahl: Mehr als 20 verfügbar
Anbieter: BargainBookStores, Grand Rapids, MI, USA
Hardback or Cased Book. Zustand: New. Source Coding Theory. Book. Bestandsnummer des Verkäufers BBS-9780792390480
Anzahl: 5 verfügbar