Entropy (information theory) and Lossless compression

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Entropy (information theory) and Lossless compression

Entropy (information theory) vs. Lossless compression

Information entropy is the average rate at which information is produced by a stochastic source of data. Lossless compression is a class of data compression algorithms that allows the original data to be perfectly reconstructed from the compressed data.

Arithmetic coding

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

Arithmetic coding and Entropy (information theory) · Arithmetic coding and Lossless compression · See more »

Cryptanalysis

Cryptanalysis (from the Greek kryptós, "hidden", and analýein, "to loosen" or "to untie") is the study of analyzing information systems in order to study the hidden aspects of the systems.

Cryptanalysis and Entropy (information theory) · Cryptanalysis and Lossless compression · See more »

Data compression

In signal processing, data compression, source coding, or bit-rate reduction involves encoding information using fewer bits than the original representation.

Data compression and Entropy (information theory) · Data compression and Lossless compression · See more »

FLAC

FLAC (Free Lossless Audio Codec) is an audio coding format for lossless compression of digital audio, and is also the name of the free software project producing the FLAC tools, the reference software package that includes a codec implementation.

Entropy (information theory) and FLAC · FLAC and Lossless compression · See more »

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.

Entropy (information theory) and Huffman coding · Huffman coding and Lossless compression · See more »

Kolmogorov complexity

In algorithmic information theory (a subfield of computer science and mathematics), the Kolmogorov complexity of an object, such as a piece of text, is the length of the shortest computer program (in a predetermined programming language) that produces the object as output.

Entropy (information theory) and Kolmogorov complexity · Kolmogorov complexity and Lossless compression · See more »

Lempel–Ziv–Welch

Lempel–Ziv–Welch (LZW) is a universal lossless data compression algorithm created by Abraham Lempel, Jacob Ziv, and Terry Welch.

Entropy (information theory) and Lempel–Ziv–Welch · Lempel–Ziv–Welch and Lossless compression · See more »

Lossless compression

Lossless compression is a class of data compression algorithms that allows the original data to be perfectly reconstructed from the compressed data.

Entropy (information theory) and Lossless compression · Lossless compression and Lossless compression · See more »

MP3

MP3 (formally MPEG-1 Audio Layer III or MPEG-2 Audio Layer III) is an audio coding format for digital audio.

Entropy (information theory) and MP3 · Lossless compression and MP3 · See more »

Pigeonhole principle

In mathematics, the pigeonhole principle states that if items are put into containers, with, then at least one container must contain more than one item.

Entropy (information theory) and Pigeonhole principle · Lossless compression and Pigeonhole principle · See more »

Portable Network Graphics

Portable Network Graphics (PNG, pronounced or) is a raster graphics file format that supports lossless data compression.

Entropy (information theory) and Portable Network Graphics · Lossless compression and Portable Network Graphics · See more »

Prediction by partial matching

Prediction by partial matching (PPM) is an adaptive statistical data compression technique based on context modeling and prediction.

Entropy (information theory) and Prediction by partial matching · Lossless compression and Prediction by partial matching · See more »

Randomness

Randomness is the lack of pattern or predictability in events.

Entropy (information theory) and Randomness · Lossless compression and Randomness · See more »

Redundancy (information theory)

In Information theory, redundancy measures the fractional difference between the entropy of an ensemble, and its maximum possible value \log(|\mathcal_X|).

Entropy (information theory) and Redundancy (information theory) · Lossless compression and Redundancy (information theory) · See more »