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In information theory, data compression, source coding, [ 1 ] or bit-rate reduction is the process of encoding information using fewer bits than the original representation. [ 2 ] Any particular compression is either lossy or lossless. Lossless compression reduces bits by identifying and eliminating statistical redundancy.
The idea came from the need for their families to compress and send large documents via email. [4] The initial version of the site featured a standalone PDF compression tool. [5] Since then, the online platform has introduced over 16 PDF tools to convert, compress and edit PDF documents. [6]
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. Lossless compression is possible because most real-world data exhibits statistical redundancy. [1] By contrast, lossy compression permits reconstruction only of an approximation of ...
The Lempel–Ziv–Markov chain algorithm (LZMA) is an algorithm used to perform lossless data compression. It has been under development since either 1996 or 1998 by Igor Pavlov [1] and was first used in the 7z format of the 7-Zip archiver. This algorithm uses a dictionary compression scheme somewhat similar to the LZ77 algorithm published by ...
Unix-like. RPM files consist of metadata concatenated with (usually) a cpio archive. Newer RPM systems also support other archives, as cpio is becoming obsolete. cpio is also used with initramfs. .shar. application/x-shar. Shell archive. Unix-like. A self-extracting archive that uses the Bourne shell (sh). .LBR.
bzip2 is a free and open-source file compression program that uses the Burrows–Wheeler algorithm. It only compresses single files and is not a file archiver. It relies on separate external utilities for tasks such as handling multiple files, encryption, and archive-splitting. bzip2 was initially released in 1996 by Julian Seward.
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