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- Entropy_encoding abstract "In information theory an entropy encoding is a lossless data compression scheme that is independent of the specific characteristics of the medium.One of the main types of entropy coding creates and assigns a unique prefix-free code to each unique symbol that occurs in the input. These entropy encoders then compress data by replacing each fixed-length input symbol with the corresponding variable-length prefix-free output codeword. The length of each codeword is approximately proportional to the negative logarithm of the probability. Therefore, the most common symbols use the shortest codes.According to Shannon's source coding theorem, the optimal code length for a symbol is −logbP, where b is the number of symbols used to make output codes and P is the probability of the input symbol.Two of the most common entropy encoding techniques are Huffman coding and arithmetic coding.If the approximate entropy characteristics of a data stream are known in advance (especially for signal compression), a simpler static code may be useful.These static codes include universal codes (such as Elias gamma coding or Fibonacci coding) and Golomb codes (such as unary coding or Rice coding).".
- Entropy_encoding wikiPageExternalLink VBpart1.pdf.
- Entropy_encoding wikiPageExternalLink book.html.
- Entropy_encoding wikiPageID "46680".
- Entropy_encoding wikiPageRevisionID "601325821".
- Entropy_encoding hasPhotoCollection Entropy_encoding.
- Entropy_encoding subject Category:Entropy_and_information.
- Entropy_encoding subject Category:Lossless_compression_algorithms.
- Entropy_encoding type Abstraction100002137.
- Entropy_encoding type Act100030358.
- Entropy_encoding type Activity100407535.
- Entropy_encoding type Algorithm105847438.
- Entropy_encoding type Event100029378.
- Entropy_encoding type LosslessCompressionAlgorithms.
- Entropy_encoding type Procedure101023820.
- Entropy_encoding type PsychologicalFeature100023100.
- Entropy_encoding type Rule105846932.
- Entropy_encoding type YagoPermanentlyLocatedEntity.
- Entropy_encoding comment "In information theory an entropy encoding is a lossless data compression scheme that is independent of the specific characteristics of the medium.One of the main types of entropy coding creates and assigns a unique prefix-free code to each unique symbol that occurs in the input. These entropy encoders then compress data by replacing each fixed-length input symbol with the corresponding variable-length prefix-free output codeword.".
- Entropy_encoding label "Codage entropique".
- Entropy_encoding label "Codificación entrópica".
- Entropy_encoding label "Codificazione entropica".
- Entropy_encoding label "Entropiekodierung".
- Entropy_encoding label "Entropy encoding".
- Entropy_encoding label "Энтропийное кодирование".
- Entropy_encoding label "エントロピー符号".
- Entropy_encoding label "熵編碼法".
- Entropy_encoding sameAs Entropiekodierung.
- Entropy_encoding sameAs Codificación_entrópica.
- Entropy_encoding sameAs Codage_entropique.
- Entropy_encoding sameAs Codificazione_entropica.
- Entropy_encoding sameAs エントロピー符号.
- Entropy_encoding sameAs 엔트로피_부호화.
- Entropy_encoding sameAs m.0clsx.
- Entropy_encoding sameAs Q1345239.
- Entropy_encoding sameAs Q1345239.
- Entropy_encoding sameAs Entropy_encoding.
- Entropy_encoding wasDerivedFrom Entropy_encoding?oldid=601325821.
- Entropy_encoding isPrimaryTopicOf Entropy_encoding.