Search results
Results from the WOW.Com Content Network
In particular, if b is a positive integer, then the unit is the amount of information that can be stored in a system with b possible states. When b is 2, the unit is the shannon, equal to the information content of one "bit". A system with 8 possible states, for example, can store up to log 2 8 = 3 bits of information. Other units that have ...
A PDF file may be encrypted, for security, in which case a password is needed to view or edit the contents. PDF 2.0 defines 256-bit AES encryption as the standard for PDF 2.0 files. The PDF Reference also defines ways that third parties can define their own encryption systems for PDF.
An example: The weather forecast broadcast is: "Tonight's forecast: Dark. Continued darkness until widely scattered light in the morning." This message contains almost no information. However, a forecast of a snowstorm would certainly contain information since such does not happen every evening.
In information theory, one bit is the information entropy of a random binary variable that is 0 or 1 with equal probability, [3] or the information that is gained when the value of such a variable becomes known. [4] [5] As a unit of information or negentropy, the bit is also known as a shannon, [6] named after Claude E. Shannon.
A famous example for lexical ambiguity is the following sentence: "Wenn hinter Fliegen Fliegen fliegen, fliegen Fliegen Fliegen hinterher.", meaning "When flies fly behind flies, then flies fly in pursuit of flies." [40] [circular reference] It takes advantage of some German nouns and corresponding verbs being homonymous. While not noticeable ...
When the prefix "re-" is added to a monosyllabic word, the word gains currency both as a noun and as a verb. Most of the pairs listed below are closely related: for example, "absent" as a noun meaning "missing", and as a verb meaning "to make oneself missing". There are also many cases in which homographs are of an entirely separate origin, or ...
The bit is a typical unit of information. It is 'that which reduces uncertainty by half'. [6] Other units such as the nat may be used. For example, the information encoded in one "fair" coin flip is log 2 (2/1) = 1 bit, and in two fair coin flips is log 2 (4/1) = 2 bits.
But on a little-endian machine, one would see "N H O J". Middle-endian machines complicate this even further; for example, on the PDP-11, the 32-bit value is stored as two 16-bit words "JO" "HN" in big-endian, with the characters in the 16-bit words being stored in little-endian, resulting in "O J N H". [citation needed]