Titlebook: Information-Spectrum Methods in Information Theory; Te Sun Han Book 2003 Springer-Verlag Berlin Heidelberg 2003 Code.Information.Shannon.c

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THE

Information-Spectrum Methods in Information Theory978-3-662-12066-8Series ISSN 0172-4568 Series E-ISSN 2197-439X

倫理學(xué)

0172-4568 Overview: Translation from the Japanese edition published in 1998.Awarded the Okawa Prize for Japanese Information Science books in 1998.Includes supplementary material: 978-3-642-07812-5978-3-662-12066-8Series ISSN 0172-4568 Series E-ISSN 2197-439X

FLIRT

Source Coding,At the beginning of this chapter, we describe . of a special but very important source ., that is, we consider the source coding of a stationary memoryless source

HEDGE

Random Number Generation,Random number generation is the transformation of a random variable . into another random variable . with a specified probability distribution. One of the random random number generation problems that is most familiar to us is the one using coin flipping.

要塞

吞下

Rate-Distortion Theory,In the source coding treated in Chapter 1 we consider the problems in which we minimize the coding rate subject to the constraints such as

上下倒置

Identification Code and Channel Resolvability,In the channel coding problems treated in Chapter 3 we considered an (., ..,..)-code that is usually called the . It was Shannon [77] who, in 1948, first formulated the channel coding problems based on the notion of the transmission code. After Shannon’s study, it was widely accepted that a code for a channel means the transmission code.

遺傳學(xué)

CAMEO

https://doi.org/10.1007/978-3-662-12066-8Code; Information; Shannon; channel coding; coding; coding theory; communication; decoder; encoder; entropy; i