{"product_id":"introduction-to-information-theory-and-data-compression-9781584883135","title":"Introduction to Information Theory and Data Compression","description":"\u003cp\u003e • Author(s): Peter D. Johnson Jr | Greg A. Harris | D. C. Hankerson\u003cbr\u003e • Publisher: CRC Press\u003cbr\u003e • Publisher Imprint: Chapman and Hall\/CRC\u003cbr\u003e • BISAC: Information Theory\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eAn effective blend of carefully explained theory and practical applications, this text imparts the fundamentals of both information theory and data compression. Although the two topics are related, this unique text allows either topic to be presented independently, and it was specifically designed so that the data compression section requires no prior knowledge of information theory. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003eThe treatment of information theory, while theoretical and abstract, is quite elementary, making this text less daunting than many others. After presenting the fundamental definitions and results of the theory, the authors then apply the theory to memoryless, discrete channels with zeroth-order, one-state sources. \u003cp\u003e\u003c\/p\u003eThe chapters on data compression acquaint students with a myriad of lossless compression methods and then introduce two lossy compression methods. Students emerge from this study competent in a wide range of techniques. The authors' presentation is highly practical but includes some important proofs, either in the text or in the exercises, so instructors can, if they choose, place more emphasis on the mathematics. \u003cp\u003e\u003c\/p\u003eIntroduction to Information Theory and Data Compression, Second Edition is ideally suited for an upper-level or graduate course for students in mathematics, engineering, and computer science. \u003cp\u003e\u003c\/p\u003eFeatures: \u003cli\u003eExpanded discussion of the historical and theoretical basis of information theory that builds a firm, intuitive grasp of the subject\u003cbr\u003e \u003c\/li\u003e\u003cli\u003eReorganization of theoretical results along with new exercises, ranging from the routine to the more difficult, that reinforce students' ability to apply the definitions and results in specific situations.\u003cbr\u003e \u003c\/li\u003e\u003cli\u003eSimplified treatment of the algorithm(s) of Gallager and Knuth\u003cbr\u003e \u003c\/li\u003e\u003cli\u003eDiscussion of the information rate of a code and the trade-off between error correction and information rate\u003cbr\u003e \u003c\/li\u003e\u003cli\u003eTreatment of probabilistic finite state source automata, including basic resul\u003c\/li\u003e","brand":"CRC Press","offers":[{"title":"Hardcover","offer_id":46931816317079,"sku":"9781584883135","price":10902.0,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9781584883135.webp?v=1771616356","url":"https:\/\/atlanticbooks.com\/products\/introduction-to-information-theory-and-data-compression-9781584883135","provider":"Atlantic Books","version":"1.0","type":"link"}