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A Unicode character is assigned a unique Name (na). [1] The name is composed of uppercase letters A–Z, digits 0–9, hyphen-minus and space.Some sequences are excluded: names beginning with a space or hyphen, names ending with a space or hyphen, repeated spaces or hyphens, and space after hyphen are not allowed.
Reuters originally developed SCSU, then under the name RCSU for Reuters Compression Scheme for Unicode. [2] [3] [4] [5]At first the Unicode Consortium considered it to be a character encoding, [6] but in 1999 changed its mind: although it was still considered a transfer encoding syntax, for a while it was no longer considered a character encoding because different compressors might yield ...
Punched tape with the word "Wikipedia" encoded in ASCII.Presence and absence of a hole represents 1 and 0, respectively; for example, W is encoded as 1010111.. Character encoding is the process of assigning numbers to graphical characters, especially the written characters of human language, allowing them to be stored, transmitted, and transformed using computers. [1]
java.util.PropertyResourceBundle - describes property resource bundles; java.util.Properties - explains Java properties in a simple XML format. MultiProperties - It is an Eclipse plugin for editing multiple key-value based files with similar content. This kind of file format can be Properties for example in Java programming language, which is ...
UTF-8 is also the recommendation from the WHATWG for HTML and DOM specifications, and stating "UTF-8 encoding is the most appropriate encoding for interchange of Unicode" [4] and the Internet Mail Consortium recommends that all e‑mail programs be able to display and create mail using UTF-8.
In information theory, an entropy coding (or entropy encoding) is any lossless data compression method that attempts to approach the lower bound declared by Shannon's source coding theorem, which states that any lossless data compression method must have an expected code length greater than or equal to the entropy of the source. [1]
Arithmetic coding differs from other forms of entropy encoding, such as Huffman coding, in that rather than separating the input into component symbols and replacing each with a code, arithmetic coding encodes the entire message into a single number, an arbitrary-precision fraction q, where 0.0 ≤ q < 1.0.
To convolutionally encode data, start with k memory registers, each holding one input bit.Unless otherwise specified, all memory registers start with a value of 0. The encoder has n modulo-2 adders (a modulo 2 adder can be implemented with a single Boolean XOR gate, where the logic is: 0+0 = 0, 0+1 = 1, 1+0 = 1, 1+1 = 0), and n generator polynomials — one for each adder (see figure below).