000			a
999			_c33057 _d33057
008			240319b xxu||||| |||| 00| 0 eng d
020			_a9789811084317
082			_a621.382 _bGAZ
100			_aGazi, Orhan
245			_aInformation theory for electrical engineers
260			_bSpringer, _c2018 _aSingapore :
300			_aix, 276 p. ; _bill., _c25 cm
365			_b79.99 _c€ _d93.50
490			_aSignals and Communication Technology, _v1860-4862
504			_aIncludes bibliographical references and index.
520			_aThis book explains the fundamental concepts of information theory, so as to help students better understand modern communication technologies. It was especially written for electrical and communication engineers working on communication subjects. The book especially focuses on the understandability of the topics, and accordingly uses simple and detailed mathematics, together with a wealth of solved examples. The book consists of four chapters, the first of which explains the entropy and mutual information concept for discrete random variables. Chapter 2 introduces the concepts of entropy and mutual information for continuous random variables, along with the channel capacity. In turn, Chapter 3 is devoted to the typical sequences and data compression. One of Shannon's most important discoveries is the channel coding theorem, and it is critical for electrical and communication engineers to fully comprehend the theorem. As such, Chapter 4 solely focuses on it. To gain the most from the book, readers should have a fundamental grasp of probability and random variables; otherwise, they will find it nearly impossible to understand the topics discussed.
650			_aCoding theory
650			_aElectrical engineering
650			_aInformation theory
942			_2ddc _cBK