书目名称 | Universal Compression and Retrieval |
编辑 | Rafail Krichevsky |
视频video | http://file.papertrans.cn/943/942213/942213.mp4 |
丛书名称 | Mathematics and Its Applications |
图书封面 |  |
描述 | Objectives Computer and communication practice relies on data compression and dictionary search methods. They lean on a rapidly developing theory. Its exposition from a new viewpoint is the purpose of the book. We start from the very beginning and finish with the latest achievements of the theory, some of them in print for the first time. The book is intended for serving as both a monograph and a self-contained textbook. Information retrieval is the subject of the treatises by D. Knuth (1973) and K. Mehlhorn (1987). Data compression is the subject of source coding. It is a chapter of information theory. Its up-to-date state is presented in the books of Storer (1988), Lynch (1985), T. Bell et al. (1990). The difference between them and the present book is as follows. First. We include information retrieval into source coding instead of discussing it separately. Information-theoretic methods proved to be very effective in information search. Second. For many years the target of the source coding theory was the estimation of the maximal degree of the data compression. This target is practically bit today. The sought degree is now known for most of the sources. We believe that the next |
出版日期 | Book 1994 |
关键词 | Boolean function; Moore; Shannon; algorithms; communication; complexity; computer; computer science; data co |
版次 | 1 |
doi | https://doi.org/10.1007/978-94-017-3628-2 |
isbn_softcover | 978-90-481-4357-3 |
isbn_ebook | 978-94-017-3628-2 |
copyright | Springer Science+Business Media B.V. 1994 |