Huffman coding & Variable-length code - Unionpedia, the concept map

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Difference between Huffman coding and Variable-length code

Huffman coding vs. Variable-length code

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. In coding theory, a variable-length code is a code which maps source symbols to a variable number of bits.

Arithmetic coding

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

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Block code

In coding theory, block codes are a large and important family of error-correcting codes that encode data in blocks.

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Computer science

Computer science is the study of computation, information, and automation.

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Entropy (information theory)

In information theory, the entropy of a random variable is the average level of "information", "surprise", or "uncertainty" inherent to the variable's possible outcomes.

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Expected value

In probability theory, the expected value (also called expectation, expectancy, expectation operator, mathematical expectation, mean, expectation value, or first moment) is a generalization of the weighted average.

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Golomb coding

Golomb coding is a lossless data compression method using a family of data compression codes invented by Solomon W. Golomb in the 1960s.

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Independent and identically distributed random variables

In probability theory and statistics, a collection of random variables is independent and identically distributed if each random variable has the same probability distribution as the others and all are mutually independent.

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Lossless compression

Lossless compression is a class of data compression that allows the original data to be perfectly reconstructed from the compressed data with no loss of information.

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Quantization (signal processing)

Quantization, in mathematics and digital signal processing, is the process of mapping input values from a large set (often a continuous set) to output values in a (countable) smaller set, often with a finite number of elements.

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