Titlebook: Compression and Coding Algorithms; Alistair Moffat,Andrew Turpin Textbook 2002 Springer Science+Business Media New York 2002 Huffman.Indus

Pessimistic

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书目名称Compression and Coding Algorithms被引频次学科排名




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认为

chondromalacia

Data Compression Systems,mpression. We use compression daily, often without even being aware of it, when we use facsimile machines, communication networks, digital cellular telephones, world-wide web browsers, and DVD players. Indeed, on some computer system, the moment we access a file from disk we make use of compression

Ambulatory

Fundamental Limits,istribution given by . = [.,…,.. This chapter explores some lines in the sand which cannot be crossed when designing codes. The first is a lower bound on the expected length of a code: Shannon’s . limit. The second restriction applies to the lengths of codewords, and is generally referred to as the

桉树

Static Codes, may be relatively poor, but the simple and regular codewords that they assign can usually be encoded and decoded extremely quickly. Moreover, some compression applications are such that the source probabilities .. have a distribution to which the regular nature of these non-parameterized codes is w

Madrigal

Madrigal

Arithmetic Coding, as described in Chapter 4 is the best that can be done using integral-length codewords, it would thus appear that a minimum-redundancy code obtains compression as close to the entropy as can be achieved.

exophthalmos

Mosaic

Compression Systems,state-of-the-art compression systems are described in detail, and the modeling and coding mechanisms they incorporate examined. Unfortunately, one chapter is not enough space to do justice to the wide range of compression models and applications that have been developed over the last twenty-five yea

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