文件名称：Introduction to Information Theory and Data Compression
文件大小：3.41MB
文件格式：ZIP
更新时间：2020-12-15 14:37:36
Information Theory Data Compression
Review Statisticians, applied mathematicians, engineers, and computer scientists will find this well-written book useful. -Journal of Statistical Computation and Simulation the authors of this well balanced textbook succeed admirably well in teaching the subject to the union of students in math and in cs, and to engineers. The danger with subjects that cut accross fields is that they might appeal to the intersection of audiences involved rather than to the much larger union. The authors seem to be at home with all the types of readers, they realize that the lingo and the aim is different for the different and diverse groups of students. Indeed, the tools of information theory, data compression, and arithmetic coding are widely used in science. While the mathematical parts of the subject is old[Shannon, Kolmogorov..., measurements of information, entropy, channel capacity], the applications are still going strong, with new things coming out at a fast rate right up to the present. So the emphasis in the book on data and image compression is very appropriate. There is even a JPEGtool user's guide in the appendix.
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Introduction+to+Information+Theory+and+Data+Compression+-+2nd+Ed+[Chapman-Hall_CRC+2003].pdf