{"product_id":"entropy-and-information-theory-von-robert-m-gray","title":"Entropy and Information Theory","description":"\n                                \n                \u003cp\u003eThis book is an updated version of the information theory classic, first published in 1990. About one-third of the book is devoted to Shannon source and channel coding theorems; the remainder addresses sources, channels, and codes and on information and distortion measures and their properties. \u003c\/p\u003e\n                                \n                \u003cp\u003eNew in this edition:\u003c\/p\u003e\n                                \n                \u003cul\u003e\n                                        \n                    \u003cli\u003eExpanded treatment of stationary or sliding-block codes and their relations to traditional block codes\u003c\/li\u003e\n                                        \n                    \u003cli\u003eExpanded discussion of results from ergodic theory relevant to information theory\u003c\/li\u003e\n                                        \n                    \u003cli\u003eExpanded treatment of B-processes -- processes formed by stationary coding memoryless sources\u003c\/li\u003e\n                                        \n                    \u003cli\u003eNew material on trading off information and distortion, including the Marton inequality\u003c\/li\u003e\n                                        \n                    \u003cli\u003eNew material on the properties of optimal and asymptotically optimal source codes\u003c\/li\u003e\n                                        \n                    \u003cli\u003eNew material on the relationships of source coding and rate-constrained simulation or modeling of random processes\u003c\/li\u003e\n                                    \n                \u003c\/ul\u003e\n                                \n                \u003cp\u003eSignificant material not covered in other information theory texts includes stationary\/sliding-block codes, a geometric view of information theory provided by process distance measures, and general Shannon coding theorems for asymptotic mean stationary sources, which may be neither ergodic nor stationary, and d-bar continuous channels.\u003c\/p\u003e\n                            \n            \u003cdiv class=\"aw-variant-hidden-subtitle-div\" id=\"aw-variant-subtitle-9781489981325\"\u003e\u003ch3\u003e\u003c\/h3\u003e\u003c\/div\u003e","brand":"Libri","offers":[{"title":"Softcover - 9781489981325","offer_id":39416852643933,"sku":"9781489981325","price":181.89,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0940\/0622\/files\/7bb664af-820f-42c9-b8f3-4b39c078587a.jpg?v=1778213003","url":"https:\/\/shop.autorenwelt.de\/products\/entropy-and-information-theory-von-robert-m-gray","provider":"Autorenwelt Shop","version":"1.0","type":"link"}