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Introduction to Data Compression (3/E)

지은이 Khalid Sayood | 출판사 Morgan Kaufmann | 발행일 2005년 12월 31일 | 언어 : English

	판매가	105,100원 → 104,900원 0%
	마일리지	0% 0원

	발행일	2005-12-31 \| 중량: 3.34 lbs \| 사이즈: 9.247.881.34
	ISBN	012620862X \| 9780126208627
	기타정보	원서 \| 680쪽 \| $ 84.95 \| HardCover

	예상출고일	1~2일 이내 (근무일기준)
	배송비	무료배송

자료처리

종합지수 88p 2 위

자료처리 분야 베스트(월)

자료처리 분야 베스트(주)

자료처리 분야 신간

1.	HTML and XHTML: Creating Web Pages
2.	Introduction to Computers & Information Processing
3.	Introduction to Computers & Information Processing: Study Guide

Book Description

The need to efficiently store, manipulate, and transmit large masses of information is growing more rapidly than the capacity of systems to handle it. Engineers and computer scientists need a solid understanding of compression in order to work with the burgeoning variety of data types and increasingly data-intensive applications. This uniquely comprehensive book explains the fundamental theories and techniques of data compression, with the most complete coverage available of both lossy and lossless methods. Rather than simply describing current approaches, Sayood explains the theoretical underpinnings of the algorithms so that readers learn how to model structures in data and design compression packages of their own. Practitioners, researchers, and students will benefit from the balanced presentation of theoretical material and implementations.

Features:

Covers both lossy and lossless compression techniques with applications to image, speech, text, audio, and video compression.

Official compression standards for video, audio, text, and facsimile are discussed in order to illustrate the techniques: includes JPEG, MPEG, G.728, H.261, and Group 3 and 4 fax standards.

Detailed examples follow each new concept or algorithm.

Software implementations and sample data sets are available, allowing readers to work through the examples in the book and to experiment with various compression techniques on their own.

Optional starred sections provide enhanced technical or theoretical discussions.

Appendices on probability theory, random processes, and matrix concepts are included for reference. --This text refers to an out of print or unavailable edition of this title.