lossy audio compression - définition. Qu'est-ce que lossy audio compression
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Qu'est-ce (qui) est lossy audio compression - définition

PROCESS OF ENCODING INFORMATION USING FEWER BITS THAN THE ORIGINAL REPRESENTATION
Multimedia compression; Data compression/multimedia compression; Video compression; Data compression algorithm; Compression algorithm; Uncompression; File compression; Data Compression; Block compression; Spatial compression; Temporal compression; Intelligent Compression; Transparent decompression; Compression algorithms; Datacompression; Source Coding; Bit-rate reduction; File compressing; Digital audio compression; Lossless audio compression; Compression program; Compression utility; Coding techniques; Source coding; Audio data compression; Lossless audio; Perceptual audio coding; Video Compression; Lossless Audio; Negabyte; Sound compression; Audio compression (data); Compression software; Decompression software; Compressed data; Video data compression; Video encoding; Encoding software; Data decompression; Lossy audio compression; Uncompressed; Compressed video; Compressed digital video; Digital video compression; Lossless video compression; Text compression; Genetic compression algorithm; Algorithms for lossless data compression; History of video compression; Perceptual audio coder; Compression techniques; Machine learning and data compression; History of audio compression
  • Comparison of [[spectrogram]]s of audio in an uncompressed format and several lossy formats. The lossy spectrograms show [[bandlimiting]] of higher frequencies, a common technique associated with lossy audio compression.
  • Processing stages of a typical video encoder
  • [[MP3]], an example of a lossy file format compared to [[WAV]].
  • Solidyne 922: The world's first commercial audio bit compression [[sound card]] for PC, 1990

lossy audio compression         
<audio, compression> Any audio compression algorithm which does not retain every bit of data but only reproduces a signal that sounds more or less like the original. Examples are MP1, MP2, MP3, AAC. (2001-12-24)
lossy         
DATA COMPRESSION APPROACH THAT RESULTS IN LOSS OR CHANGE OF SOME DATA
Lossy; Lossy encoding; Lossy data compression; Data compression/lossy; List of lossy compression methods; Irreversible compression
<algorithm> A term describing a data compression algorithm which actually reduces the amount of information in the data, rather than just the number of bits used to represent that information. The lost information is usually removed because it is subjectively less important to the quality of the data (usually an image or sound) or because it can be recovered reasonably by interpolation from the remaining data. MPEG and JPEG are examples of lossy compression techniques. Opposite: lossless. (1995-03-29)
lossy         
DATA COMPRESSION APPROACH THAT RESULTS IN LOSS OR CHANGE OF SOME DATA
Lossy; Lossy encoding; Lossy data compression; Data compression/lossy; List of lossy compression methods; Irreversible compression
¦ adjective
1. having or involving dissipation of electrical or electromagnetic energy.
2. Computing (of data compression) in which unnecessary information is discarded.

Wikipédia

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. Any particular compression is either lossy or lossless. Lossless compression reduces bits by identifying and eliminating statistical redundancy. No information is lost in lossless compression. Lossy compression reduces bits by removing unnecessary or less important information. Typically, a device that performs data compression is referred to as an encoder, and one that performs the reversal of the process (decompression) as a decoder.

The process of reducing the size of a data file is often referred to as data compression. In the context of data transmission, it is called source coding; encoding done at the source of the data before it is stored or transmitted. Source coding should not be confused with channel coding, for error detection and correction or line coding, the means for mapping data onto a signal.

Compression is useful because it reduces the resources required to store and transmit data. Computational resources are consumed in the compression and decompression processes. Data compression is subject to a space–time complexity trade-off. For instance, a compression scheme for video may require expensive hardware for the video to be decompressed fast enough to be viewed as it is being decompressed, and the option to decompress the video in full before watching it may be inconvenient or require additional storage. The design of data compression schemes involves trade-offs among various factors, including the degree of compression, the amount of distortion introduced (when using lossy data compression), and the computational resources required to compress and decompress the data.