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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This Open Access Book explores how classical information theory s focus on syntactic information has limited the further development of communication science. Recently, communication technologies that handle and transmit semantic information have gained widespread attention in academia. Semantic communication has paved new directions for the future of communication technology development, yet it lacks a general mathematical guiding theory. To address this challenge, this open access book constructs a theoretical framework for semantic information theory and provides a systematic exposition of the measurement system for semantic information and the theoretical limits of semantic communication. It serves as a professional reference for researchers in information and communication. The book begins by deeply analyzing the data characteristics of various information sources and the needs of downstream tasks to summarize and generalize the universal attribute of semantic information synonymity and to define the synonymous mapping between semantic information and syntactic information. Stemming from this core concept, synonymous mapping, this book introduces the measures of semantic information. It then introduces a new mathematical tool, Synonymous Asymptotic Equipartition (AEP), to explore the mathematical properties of synonymous typical sequences and applies random coding and synonymous typical sequence decoding/encoding to prove the semantic lossless source coding theorem, semantic channel coding theorem, and semantic limited distortion source coding theorem. In addition, the semantic information measures in the continuous case are discussed and a new channel capacity formula of the band-limited Gaussian channel is obtained, which is an important extension of the classical channel capacity.The book is a valuable resource for researchers, academics, and professionals in the field of information and communication, particularly those interested in advancing the frontiers of semantic communication technology.
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Añadir al carritoTaschenbuch. Condición: Neu. The Mathematical Theory of Semantic Communication | Kai Niu (u. a.) | Taschenbuch | viii | Englisch | 2025 | Springer | EAN 9789819651313 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Añadir al carritoTaschenbuch. Condición: Neu. yin zi tu shang de die dai jie shou ji | Kai Niu | Taschenbuch | Chinesisch | 2016 | ¿¿¿¿¿¿¿ | EAN 9783639828771 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This Open Access Book explores how classical information theory s focus on syntactic information has limited the further development of communication science. Recently, communication technologies that handle and transmit semantic information have gained widespread attention in academia. Semantic communication has paved new directions for the future of communication technology development, yet it lacks a general mathematical guiding theory. To address this challenge, this open access book constructs a theoretical framework for semantic information theory and provides a systematic exposition of the measurement system for semantic information and the theoretical limits of semantic communication. It serves as a professional reference for researchers in information and communication. The book begins by deeply analyzing the data characteristics of various information sources and the needs of downstream tasks to summarize and generalize the universal attribute of semantic information synonymity and to define the synonymous mapping between semantic information and syntactic information. Stemming from this core concept, synonymous mapping, this book introduces the measures of semantic information. It then introduces a new mathematical tool, Synonymous Asymptotic Equipartition (AEP), to explore the mathematical properties of synonymous typical sequences and applies random coding and synonymous typical sequence decoding/encoding to prove the semantic lossless source coding theorem, semantic channel coding theorem, and semantic limited distortion source coding theorem. In addition, the semantic information measures in the continuous case are discussed and a new channel capacity formula of the band-limited Gaussian channel is obtained, which is an important extension of the classical channel capacity.The book is a valuable resource for researchers, academics, and professionals in the field of information and communication, particularly those interested in advancing the frontiers of semantic communication technology. 115 pp. Englisch.
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Añadir al carritoPaperback. Condición: new. Paperback. This Open Access Book explores how classical information theorys focus on syntactic information has limited the further development of communication science. Recently, communication technologies that handle and transmit semantic information have gained widespread attention in academia. Semantic communication has paved new directions for the future of communication technology development, yet it lacks a general mathematical guiding theory. To address this challenge, this open access book constructs a theoretical framework for semantic information theory and provides a systematic exposition of the measurement system for semantic information and the theoretical limits of semantic communication. It serves as a professional reference for researchers in information and communication. The book begins by deeply analyzing the data characteristics of various information sources and the needs of downstream tasks to summarize and generalize the universal attribute of semantic informationsynonymity and to define the synonymous mapping between semantic information and syntactic information. Stemming from this core concept, synonymous mapping, this book introduces the measures of semantic information. It then introduces a new mathematical tool, Synonymous Asymptotic Equipartition (AEP), to explore the mathematical properties of synonymous typical sequences and applies random coding and synonymous typical sequence decoding/encoding to prove the semantic lossless source coding theorem, semantic channel coding theorem, and semantic limited distortion source coding theorem. In addition, the semantic information measures in the continuous case are discussed and a new channel capacity formula of the band-limited Gaussian channel is obtained, which is an important extension of the classical channel capacity. The book is a valuable resource for researchers, academics, and professionals in the field of information and communication, particularly those interested in advancing the frontiers of semantic communication technology. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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ISBN 10: 3639828771 ISBN 13: 9783639828771
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -jing guo jin 50 nian de fa zhan tong xin li lun cong dan xi tong you hua zhu bu zou xiang le lian he you hua zi cong 93 nian Turbo ma fa ming yi lai Turbo die dai suan fa bei tui guang dao ge ge ling yu bao kuo jun heng jian ce xin yuan xin dao lian he yi ma tong bu deng deng xue shu jie xing cheng le die dai chu li jiu shi zui you jie shou ji de zhu liu si xiang 98 nian kong shi bian ma de fa ming you yi ci hong fa le ren men yan jiu bian ma diao zhi tian xian shou fa fen ji lian he you hua de re qing zhe xie lian he you hua tong xin xi tong de yan jiu qu shi xu yao yi zhong tong yi de yan jiu gong ju yin zi tu gai wen de gong zuo zhu yao shi li yong yin zi tu tong yi chu li die dai xin dao yi ma suan fa zui you duo yong hu jian ce suan fa gei chu bi jiao quan mian he xiang xi de quan shi ling yi fang mian dui yu kong shi bian ma ling yu wo men shou ci ti chu le yi zhong zui you xin hao she ji de fang fa kong shi lian xu xiang wei diao zhi STCPM zhe zhong ma ju you fei chang you yi de xi tong xing neng zui hou wo men zhi chu li yong yin zi tu jin xing tong xin xi tong de lian he you hua she ji cai gang gang kai shi wei lai gao xing neng de guang dian ji cheng dian lu de pu ji jiang jie kai tong xin li lun fa zhan de xin ji yuan 200 pp. Chinesisch.
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Añadir al carritoHardcover. Condición: new. Hardcover. This Reprint collects cutting-edge research from the highly regarded Entropy Special Issue "Semantic Information Theory." As modern communication systems evolve for applications like 6G, IoT, and autonomous driving, the focus shifts from merely transmitting bits to efficiently conveying task-specific meaning. The Special Issue bridges classical information theory with modern AI, exploring the foundations of semantic communication. It features two comprehensive reviews and ten original research articles, organized into two key themes: advancing semantic rate-distortion theory and designing efficient semantic communication systems. This Reprint serves as an important resource for researchers and practitioners navigating the complex transition toward truly intelligent, task-driven communication networks. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Publicado por Springer, Springer Jun 2025, 2025
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This Open Access Book explores how classical information theory's focus on syntactic information has limited the further development of communication science. Recently, communication technologies that handle and transmit semantic information have gained widespread attention in academia. Semantic communication has paved new directions for the future of communication technology development, yet it lacks a general mathematical guiding theory. To address this challenge, this open access book constructs a theoretical framework for semantic information theory and provides a systematic exposition of the measurement system for semantic information and the theoretical limits of semantic communication. It serves as a professional reference for researchers in information and communication. The book begins by deeply analyzing the data characteristics of various information sources and the needs of downstream tasks to summarize and generalize the universal attribute of semantic informationsynonymity and to define the synonymous mapping between semantic information and syntactic information. Stemming from this core concept, synonymous mapping, this book introduces the measures of semantic information. It then introduces a new mathematical tool, Synonymous Asymptotic Equipartition (AEP), to explore the mathematical properties of synonymous typical sequences and applies random coding and synonymous typical sequence decoding/encoding to prove the semantic lossless source coding theorem, semantic channel coding theorem, and semantic limited distortion source coding theorem. In addition, the semantic information measures in the continuous case are discussed and a new channel capacity formula of the band-limited Gaussian channel is obtained, which is an important extension of the classical channel capacity.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 124 pp. Englisch.
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Añadir al carritoHardcover. Condición: new. Hardcover. This Reprint collects cutting-edge research from the highly regarded Entropy Special Issue "Semantic Information Theory." As modern communication systems evolve for applications like 6G, IoT, and autonomous driving, the focus shifts from merely transmitting bits to efficiently conveying task-specific meaning. The Special Issue bridges classical information theory with modern AI, exploring the foundations of semantic communication. It features two comprehensive reviews and ten original research articles, organized into two key themes: advancing semantic rate-distortion theory and designing efficient semantic communication systems. This Reprint serves as an important resource for researchers and practitioners navigating the complex transition toward truly intelligent, task-driven communication networks. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Añadir al carritoHardcover. Condición: new. Hardcover. This Reprint collects cutting-edge research from the highly regarded Entropy Special Issue "Semantic Information Theory." As modern communication systems evolve for applications like 6G, IoT, and autonomous driving, the focus shifts from merely transmitting bits to efficiently conveying task-specific meaning. The Special Issue bridges classical information theory with modern AI, exploring the foundations of semantic communication. It features two comprehensive reviews and ten original research articles, organized into two key themes: advancing semantic rate-distortion theory and designing efficient semantic communication systems. This Reprint serves as an important resource for researchers and practitioners navigating the complex transition toward truly intelligent, task-driven communication networks. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Añadir al carritoBuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This Reprint collects cutting-edge research from the highly regarded Entropy Special Issue 'Semantic Information Theory.' As modern communication systems evolve for applications like 6G, IoT, and autonomous driving, the focus shifts from merely transmitting bits to efficiently conveying task-specific meaning. The Special Issue bridges classical information theory with modern AI, exploring the foundations of semantic communication. It features two comprehensive reviews and ten original research articles, organized into two key themes: advancing semantic rate-distortion theory and designing efficient semantic communication systems. This Reprint serves as an important resource for researchers and practitioners navigating the complex transition toward truly intelligent, task-driven communication networks.