{"product_id":"9789819215485","title":"An Introduction to Single-User Information Theory","description":"\u003ch3\u003eSpringer Undergraduate Texts in Mathematics and Technology\u003c\/h3\u003e\u003ch1\u003eAn Introduction to Single-User Information Theory\u003c\/h1\u003e\u003ch3\u003eFady Alajaji | Po-Ning Chen\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eMathematics \/ Applied\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\n\u003cp\u003e\u003cspan style=\"background-color: rgb(255, 255, 255); white-space: normal; font-size: 16px; color: rgb(15, 17, 21);\"\u003eThis second edition is extensively updated to reflect the growing synergy between \u003c\/span\u003e\u003cstrong style=\"background-color: rgb(255, 255, 255); white-space: normal; font-size: 16px; color: rgb(15, 17, 21);\"\u003einformation theory and artificial intelligence (AI)\u003c\/strong\u003e\u003cspan style=\"background-color: rgb(255, 255, 255); white-space: normal; font-size: 16px; color: rgb(15, 17, 21);\"\u003e. Key enhancements include:\u003c\/span\u003e\u003c\/p\u003e\r\n\u003cul style=\"list-style-type: disc;\"\u003e\r\n\u003cli\u003e\n\u003cstrong style=\"background-color: rgb(255, 255, 255); white-space: normal; font-size: 16px; color: rgb(15, 17, 21);\"\u003eNew Content Focused on AI \u0026amp; Machine Learning:\u003c\/strong\u003e\u003cspan style=\"background-color: rgb(255, 255, 255); white-space: normal; font-size: 16px; color: rgb(15, 17, 21);\"\u003e A major new chapter introduces \u003c\/span\u003e\u003cstrong style=\"background-color: rgb(255, 255, 255); white-space: normal; font-size: 16px; color: rgb(15, 17, 21);\"\u003egeneralized information and statistical measures\u003c\/strong\u003e\u003cspan style=\"background-color: rgb(255, 255, 255); white-space: normal; font-size: 16px; color: rgb(15, 17, 21);\"\u003e (such as parameterized Rényi, Jensen, and f-divergence), alongside expanded coverage of the \u003c\/span\u003e\u003cstrong style=\"background-color: rgb(255, 255, 255); white-space: normal; font-size: 16px; color: rgb(15, 17, 21);\"\u003einformation bottleneck principle\u003c\/strong\u003e\u003cspan style=\"background-color: rgb(255, 255, 255); white-space: normal; font-size: 16px; color: rgb(15, 17, 21);\"\u003e, \u003c\/span\u003e\u003cstrong style=\"background-color: rgb(255, 255, 255); white-space: normal; font-size: 16px; color: rgb(15, 17, 21);\"\u003ecross-entropies\u003c\/strong\u003e\u003cspan style=\"background-color: rgb(255, 255, 255); white-space: normal; font-size: 16px; color: rgb(15, 17, 21);\"\u003e, and \u003c\/span\u003e\u003cstrong style=\"background-color: rgb(255, 255, 255); white-space: normal; font-size: 16px; color: rgb(15, 17, 21);\"\u003egeneralized information inequalities\u003c\/strong\u003e\u003cspan style=\"background-color: rgb(255, 255, 255); white-space: normal; font-size: 16px; color: rgb(15, 17, 21);\"\u003e, all connected to modern ML applications like deep learning and generative models.\u003c\/span\u003e\n\u003c\/li\u003e\r\n\u003cli\u003e\u003cspan style=\"background-color: rgb(255, 255, 255); white-space: normal; font-size: 16px; color: rgb(15, 17, 21);\"\u003e\u003cstrong\u003e\u003cspan style=\"font-size: 12.0pt; font-family: 'Calibri',sans-serif; mso-fareast-font-family: 'Times New Roman'; color: #0f1115; background: white; mso-ansi-language: EN-IN; mso-fareast-language: EN-IN; mso-bidi-language: AR-SA;\"\u003eComprehensive Updates Throughout:\u003c\/span\u003e\u003c\/strong\u003e\u003cspan style=\"font-size: 12.0pt; font-family: 'Calibri',sans-serif; mso-fareast-font-family: 'Times New Roman'; color: #0f1115; background: white; mso-ansi-language: EN-IN; mso-fareast-language: EN-IN; mso-bidi-language: AR-SA;\"\u003e All existing chapters have been \u003cstrong\u003erevised and expanded\u003c\/strong\u003e, the \u003cstrong\u003eappendix enhanced\u003c\/strong\u003e, and \u003cstrong\u003echapter problem sets significantly enlarged\u003c\/strong\u003e based on the first edition. The book presents a succinct and mathematically rigorous treatment of the main pillars of Shannon’s information theory, discussing the fundamental concepts and indispensable results of Shannon’s mathematical theory of communications. It includes six meticulously written core chapters (with accompanying problems), emphasizing the key topics of information measures (classical and generalized); lossless and lossy data compression; channel coding; and joint source-channel coding for single-user (point-to-point) communications systems. It also features two appendices covering necessary background material in real analysis and in probability theory and stochastic processes\u003c\/span\u003e.\u003c\/span\u003e\u003c\/li\u003e\r\n\u003cli\u003e\n\u003cstrong style=\"background-color: rgb(255, 255, 255); white-space: normal; font-size: 16px; color: rgb(15, 17, 21);\"\u003eImproved Accuracy \u0026amp; Resources:\u003c\/strong\u003e\u003cspan style=\"background-color: rgb(255, 255, 255); white-space: normal; font-size: 16px; color: rgb(15, 17, 21);\"\u003e Errors from the first edition have been corrected, and the \u003c\/span\u003e\u003cstrong style=\"background-color: rgb(255, 255, 255); white-space: normal; font-size: 16px; color: rgb(15, 17, 21);\"\u003ebibliography and index are thoroughly updated\u003c\/strong\u003e\u003cspan style=\"background-color: rgb(255, 255, 255); white-space: normal; font-size: 16px; color: rgb(15, 17, 21);\"\u003e. A separate, \u003c\/span\u003e\u003cstrong style=\"background-color: rgb(255, 255, 255); white-space: normal; font-size: 16px; color: rgb(15, 17, 21);\"\u003e400-page instructor’s solutions manual\u003c\/strong\u003e\u003cspan style=\"background-color: rgb(255, 255, 255); white-space: normal; font-size: 16px; color: rgb(15, 17, 21);\"\u003e is also available.\u003c\/span\u003e\n\u003c\/li\u003e\r\n\u003c\/ul\u003e\r\n\u003cp\u003e \u003c\/p\u003e\r\n\u003cp\u003e\u003cspan style=\"background-color: rgb(255, 255, 255); white-space: normal; font-size: 16px; color: rgb(15, 17, 21);\"\u003eThe book is ideal for a one-semester foundational course on information theory for senior undergraduate and entry-level graduate students in mathematics, statistics, engineering, and computing and information sciences. \u003c\/span\u003e\u003c\/p\u003e\r\n\u003cp\u003e \u003c\/p\u003e\r\n\u003cp\u003e \u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003cdiv\u003e\n\u003cb\u003eFady Alajaji\u003c\/b\u003e is a professor of Mathematics and Engineering at the Department of Mathematics and Statistics, Queen’s University, Kingston, Ontario, Canada. He received a B.E. degree with distinction from the American University of Beirut, Lebanon in 1988, and M.Sc. and Ph.D. degrees from the University of Maryland at College Park, USA, in 1990 and 1994, respectively.\u003c\/div\u003e\n\u003cdiv\u003eIn 2001, he was a recipient of the Premier’s Research Excellence Award from the Province of Ontario in recognition for his research in “the theory and practice of joint source-channel coding in telecommunication systems.” His research interests include information theory, applied probability, joint source-channel coding, error control coding, data compression and digital communications.\u003c\/div\u003e \u003cdiv\u003e\n\u003cb\u003ePo-Ning Chen \u003c\/b\u003eis a professor at the Department of Electrical and Computer Engineering, National Chiao Tung University (NCTU), Taiwan. He received B.E. and M.Sc. degrees from National Tsing Hua University, Taiwan, in 1985 and 1987, respectively, and his Ph.D. degree from the University of Maryland at College Park, USA, in 1994. He was a recipient of the 2000 Young Scholar Paper Award from the Academia Sinica, Taiwan.\u003c\/div\u003e\n\u003cdiv\u003eHe was also selected as the NCTU Outstanding Tutor Teacher in 2013 and 2014, and received the NCTU Distinguished Teaching Award in 2014. His research interests include information and coding theory, large deviations theory, distributed detection and sensor networks.\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e12 August 2026\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eSpringer Nature Singapore\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eSpringer\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9789819215485\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003eHardback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePage Count: \u003c\/td\u003e\n\u003ctd\u003e556\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Springer Nature Singapore","offers":[{"title":"Default Title","offer_id":47984214442124,"sku":"9789819215485","price":76.49,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9789819215485.jpg?v=1780593672","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9789819215485","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}