单词 | shannon |
释义 | Shannonn.1 An artificial salmon fly used on the river Shannon. In full Shannon fly. ΘΚΠ the world > food and drink > hunting > fishing > fishing-tackle > means of attracting fish > [noun] > artificial fly > salmon flies salmon fly1704 kingfisher?1758 tartan1837 goldfinch1845 parr-tail1847 baker1848 butcher1860 Jock Scott1866 claret1867 colonel1867 king1867 major1867 Shannon fly1867 wasp1867 chimney-sweep1872 Jack Scott1874 hornet1876 winesop black1876 mystery1880 1867 F. Francis Bk. Angling xii. 356 The large heavy-water Shannon flies are very showy affairs. 1867 F. Francis Bk. Angling xi. 356 The Shannon... Tag, gold tinsel and lemon-yellow floss. This entry has not yet been fully updated (first published 1913; most recently modified version published online March 2022). Shannonn.2 Information Theory. Used attributively and in the possessive to designate various concepts arising from Claude Shannon's work, esp. Shannon's (second or capacity) theorem, a theorem regarding the ability of a noisy channel to carry information with no more than an arbitrarily small frequency of errors (see quot. 1970). ΘΚΠ society > communication > telecommunication > [noun] > signal > noise or interference > signal-to-noise ratio > Shannon's formula or theorem Shannon1956 1956 L. Brillouin Sci. & Information Theory i. 7 This is exactly Shannon's formula..for a problem with just two signals. 1956 IRE Trans. Information Theory II. 102/1 In the discrete case this quantity [of information] is evaluated correctly according to the well-known Shannon formula. 1963 N. Abramson Information Theory & Coding vi. 173 Shannon's second theorem can..be characterized as a little more than an existence proof. 1970 H. A. Rodgers Dict. Data Processing Terms 98/1 Shannon's capacity theorem, in information theory, a theorem stating that it is possible to encode a source of messages having an information rate H bits/sec so that its information can be transmitted through a noisy channel with an arbitrarily small frequency of errors, provided that H ≤C bits/sec, where C is called the limiting capacity of the channel. 1972 L. L. Gatlin Information Theory & Living Syst. iv. 98 A fundamental condition under which the Shannon theorem is valid is that the rate of emission from the source..must not exceed the channel capacity. This entry has not yet been fully updated (first published 1986; most recently modified version published online March 2022). < n.11867n.21956 |
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