| 书目名称 | Well Packed – Not a Bit Too Much | | 副标题 | Compression of Digit | | 编辑 | Olaf Manz | | 视频video | | | 概述 | Illustrative overview of digital data compression methods.Contains plenty of examples and applications.Easy to understand and suitable for non-mathematicians | | 丛书名称 | essentials | | 图书封面 |  | | 描述 | .With today‘s flood of data circulating on storage media and the Internet, compression of digital data remains an immensely important aspect of data transmission and storage. This essential explains, without theoretical superstructure and with elementary mathematical methods, the most important compression methods, such as the entropy encodings of Shannon-Fano and of Huffman, as well as the dictionary encodings of the Lempel-Ziv family. Irrelevance reduction and quantization for optical and acoustic signals, which exploit the inadequacies of the human eye and ear for data compression, are also discussed in detail. The whole is illustrated by means of common practical applications from the everyday environment. The presentation allows the use, for example, in working groups at schools, in introductory courses at universities and is also suitable for interested laypersons..This .Springer essential. is a translation of the original German 1.st. edition .essentials,. .Gut gepackt – Kein Bit zu viel .by Olaf Manz, published by Springer Fachmedien Wiesbaden GmbH, part of Springer Nature in 2020. The translation was done with the help of artificial intelligence (machine translation by the | | 出版日期 | Book 2021 | | 关键词 | Data Compression; Run Length Encoding; Huffman Coding; Lempel Ziv Coding; Quantization; jpg compression | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-658-34737-6 | | isbn_ebook | 978-3-658-34737-6Series ISSN 2197-6708 Series E-ISSN 2197-6716 | | issn_series | 2197-6708 | | copyright | Springer Fachmedien Wiesbaden GmbH, part of Springer Nature 2021 |
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发表于 2025-3-21 17:25:14
