Although two related topics, this text uniquely allow both topics will be presented independently, and was specially designed so that the data compression does not require knowledge of treatment information theory.The information theory, while theoretical and abstract, quite basic, making this text less frightening than many others. Presentation of the author 'is very practical, but also includes a number of important evidence, either in text or in practice, so the instructor can, if they choose, place more emphasis on mathematics.Introduction to Information Theory and Data Compression, Second Edition is suitable for top-level or graduate courses to students in mathematics, engineering, and computer science.Features: expanded discussion of historical and theoretical basis of information theory to build a company, an intuitive grasp of subjectReorganization theoretical results along with new exercises, ranging from routine to more difficult, which reinforces the students' ability to apply the definitions and results in the treatment of certain situations.Simplified of the algorithm (s) of Gallager and KnuthDiscussion rate code information and the trade-off between error correction and information rateTreatment state automata probabilistic limited resources, including basic results, For example, reference, and code and MATLAB exercisesOctave image compression is included in an attachment for use with the exercises and projects that involve changing methodsSupplementary materials, including software, available for download from the authors' Web site.