Titlebook: Introduction to Coding Theory; J. H. Lint Textbook 19821st edition Springer Science+Business Media New York 1982 code.coding.coding theory

Friction

邊緣

SEMI

Asymptotically Good Algebraic Codes,e in for a disappointment. The Hadamard codes of Section 4.1 have . = 1/2 and if . → ∞ their rate . tends to 0. For Hamming codes . tends to 1 but . tends to 0. For BCH codes we also find . → 0 if we fix the rate. For all examples of codes which we have treated an explicitly defined sequence of these codes either has . → 0 or. →0.

濃縮

保存

Convolutional Codes, constant length. Although there are analogies and connections to block codes there is one big difference, namely that the mathematical theory of convolutional codes is not well developed. This is one of the reasons that mathematicians find it difficult to become interested in these codes.

要素

水汽

,Shannon’s Theorem,n feature that information coming from some source is transmitted over a noisy communication channel to a receiver. Examples are telephone conversations, storage devices like magnetic tape units which feed some stored information to the computer, telegraph, etc. The following is a typical recent exa

Ambulatory

Linear Codes,nto blocks of . symbols which can be decoded independently. These blocks are the . and . is called the . or . (or just length). The examples in Chapter 2 were all block codes. In Chapter 11 we shall briefly discuss a completely different system, called ., where an infinite sequence of information sy

展覽

NEG