mu-law - definizione. Che cos'è mu-law
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Cosa (chi) è mu-law - definizione

AUDIO COMPANDING ALGORITHM
Mu-law; Mu law; M-law; U-law; ULaw; Μ-law; U-Law; ULAW; M-law algorithm; Mulaw; Ulaw; Mu-law algorithm; Μ-Law; M-Law; PCMU; G.711Mu; G.711μ
  • Inverse μ-law function
  • μ-law function
  • μ-law decoding as generated with the Sun Microsystems C-language routine g711.c commonly available on the Internet.
  • Companding of μ-law and A-law algorithms

mu-law         
The North America standard for {nonuniform quantising logarithmic compression}. [Equation?] (1995-02-21)
Mu (mythical lost continent)         
  • Churchward's map showing how he thought Mu refugees spread out after the cataclysm through South America, along the shores of Atlantis, and into Africa
HYPOTHETICAL LOST CONTINENT, EXISTENCE PROPOSED BY AUGUSTUS LE PLONGEON
Mu Revealed; Mu (Cthulhu Mythos); Mount Yaddith-Gho; Mu (continent); Mu (Cthulhu mythos); Muror; Mu (lost continent)
Mu is a mythical lost continent introduced by Augustus Le Plongeon, who used the "Land of Mu" as an alternative name for Atlantis. It was subsequently popularized as an alternative term for the hypothetical land of Lemuria by James Churchward, who asserted that Mu was located in the Pacific Ocean before its destruction.
Μ-law algorithm         
The μ-law algorithm (sometimes written mu-law, often approximated as u-law) is a companding algorithm, primarily used in 8-bit PCM digital telecommunication systems in North America and Japan. It is one of two versions of the G.

Wikipedia

Μ-law algorithm

The μ-law algorithm (sometimes written mu-law, often approximated as u-law) is a companding algorithm, primarily used in 8-bit PCM digital telecommunication systems in North America and Japan. It is one of two versions of the G.711 standard from ITU-T, the other version being the similar A-law. A-law is used in regions where digital telecommunication signals are carried on E-1 circuits, e.g. Europe.

Companding algorithms reduce the dynamic range of an audio signal. In analog systems, this can increase the signal-to-noise ratio (SNR) achieved during transmission; in the digital domain, it can reduce the quantization error (hence increasing the signal-to-quantization-noise ratio). These SNR increases can be traded instead for reduced bandwidth for equivalent SNR.