en.unionpedia.org

Range coding, the Glossary

Index Range coding

Range coding (or range encoding) is an entropy coding method defined by G. Nigel N. Martin in a 1979 paper,, Video & Data Recording Conference, Southampton, UK, July 24–27, 1979.[1]

Table of Contents

  1. 16 relations: Arithmetic coding, Asymmetric numeral systems, Binary number, Byte, Data compression, Decimal, Entropy coding, Fraction, Huffman coding, Integer, Multiscale Electrophysiology Format, Open source, Power of two, Probability distribution, Shannon–Fano coding, Southampton.

  2. Entropy coding

Arithmetic coding

Arithmetic coding (AC) is a form of entropy encoding used in lossless data compression. Range coding and Arithmetic coding are data compression and entropy coding.

See Range coding and Arithmetic coding

Asymmetric numeral systems

Asymmetric numeral systems (ANS)J. Range coding and Asymmetric numeral systems are data compression.

See Range coding and Asymmetric numeral systems

Binary number

A binary number is a number expressed in the base-2 numeral system or binary numeral system, a method for representing numbers that uses only two symbols for the natural numbers: typically "0" (zero) and "1" (one).

See Range coding and Binary number

Byte

The byte is a unit of digital information that most commonly consists of eight bits.

See Range coding and Byte

Data compression

In information theory, data compression, source coding, or bit-rate reduction is the process of encoding information using fewer bits than the original representation.

See Range coding and Data compression

Decimal

The decimal numeral system (also called the base-ten positional numeral system and denary or decanary) is the standard system for denoting integer and non-integer numbers.

See Range coding and Decimal

Entropy coding

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. Range coding and entropy coding are data compression.

See Range coding and Entropy coding

Fraction

A fraction (from fractus, "broken") represents a part of a whole or, more generally, any number of equal parts.

See Range coding and Fraction

Huffman coding

In computer science and information theory, a Huffman code is a particular type of optimal prefix code that is commonly used for lossless data compression. Range coding and Huffman coding are data compression.

See Range coding and Huffman coding

Integer

An integer is the number zero (0), a positive natural number (1, 2, 3,...), or the negation of a positive natural number (−1, −2, −3,...). The negations or additive inverses of the positive natural numbers are referred to as negative integers.

See Range coding and Integer

Multiscale Electrophysiology Format

Multiscale Electrophysiology Format (MEF) was developed to handle the large amounts of data produced by large-scale electrophysiology in human and animal subjects.

See Range coding and Multiscale Electrophysiology Format

Open source

Open source is source code that is made freely available for possible modification and redistribution.

See Range coding and Open source

Power of two

A power of two is a number of the form where is an integer, that is, the result of exponentiation with number two as the base and integer as the exponent.

See Range coding and Power of two

Probability distribution

In probability theory and statistics, a probability distribution is the mathematical function that gives the probabilities of occurrence of possible outcomes for an experiment.

See Range coding and Probability distribution

Shannon–Fano coding

In the field of data compression, Shannon–Fano coding, named after Claude Shannon and Robert Fano, is one of two related techniques for constructing a prefix code based on a set of symbols and their probabilities (estimated or measured). Range coding and Shannon–Fano coding are data compression and entropy coding.

See Range coding and Shannon–Fano coding

Southampton

Southampton is a port city in Hampshire, England.

See Range coding and Southampton

See also

Entropy coding

References

[1] https://en.wikipedia.org/wiki/Range_coding

Also known as Range encoder, Range encoding.