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Compression Algorithms for Real Programmers (The For Real Programmers Series)

Peter Wayner

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مشخصات کتاب

نویسنده
Peter Wayner
سال انتشار
۱۹۹۹
فرمت
PDF
زبان
انگلیسی
تعداد صفحات
۲۰ صفحه
حجم فایل
۳٫۴ مگابایت
شابک
9780080502434، 9780127887746، 0080502431، 0127887741

دربارهٔ کتاب

In life, time is money, and on the Internet, the size of data is money. Small programs and small files take less disk space and cost less to send over the Internet. Compression Algorithms for Real Programmers describes the basic algorithms and approaches for compressing information so you can create the smallest files possible. These new algorithms are making it possible for people to take impossibly large audio and video files and compress them enough that they can flow over the Internet. * Examines the classic algorithms like Huffman coding, arithmetic compression, and dictionary-based schemes in depth * Describes the basic approaches used to squeeze audio and video signals by factors of as much as 100:1 * Discusses the philosophy of compression to illustrate the underlying trade-offs in the algorithms * Explores the use of wavelets and other modeling techniques that use repetitive functions to squeeze audio and video * Shows how programming solutions like Adobe PostScript can save space and make networks more efficient * Describes new approaches using fractals and grammars just being explored by the compression community * Shows how to extend the algorithms and use them for copyright protection In life, time is money, and on the Internet, the size of data is money. Small programs and small files take less disk space and cost less to send over the Internet. Compression Algorithms for Real Programmers describes the basic algorithms and approaches for compressing information so you can create the smallest files possible. These new algorithms are making it possible for people to take impossibly large audio and video files and compress them enough that they can flow over the Internet.

* Examines the classic algorithms like Huffman coding, arithmetic compression, and dictionary-based schemes in depth
* Describes the basic approaches used to squeeze audio and video signals by factors of as much as 100:1
* Discusses the philosophy of compression to illustrate the underlying trade-offs in the algorithms
* Explores the use of wavelets and other modeling techniques that use repetitive functions to squeeze audio and video
* Shows how programming solutions like Adobe PostScript can save space and make networks more efficient
* Describes new approaches using fractals and grammars just being explored by the compression community
* Shows how to extend the algorithms and use them for copyright protection Compression algorithms are a part of almost every software application. Whether the compression is used in transportation of large files, archiving important data, or efficient use of the Web, compression algorithms enable every user to manipulate mass quantities of information effectively and efficiently. This book is aimed at the programmer who must choose and implement good compression strategies. Compression algorithms are ideal for Internet and computer networks. In the world of ever-increasing file sizes, compression algorithms enable users, developers, and programmers to stay in control and work in an efficient manner. More and more programs are including complicated graphics or hefty data structures, and this book will explain how to cut their size. "Plenty of books provide exhaustive, A-Z documentation of current compression standards. Compression Algorithms for Real Programmers offers something far more difficult to find: practical, focused advice on using these standards to meet specific programming needs. Inside, the author examines all of today's leading compression techniques, emphasizing strengths and limitations while explaining how each works and the real-world challenges it's most suited to meet. You'll learn not only to choose the optimal compression strategy for your project, but also to apply it in a way that guarantees the best possible results."--BOOK JACKET. The science of compressing data is the art of creating shorthand representations for the data-that is, automatically finding abbreviations; i.e. yadda yadda yadda, etc.

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