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Two techniques for reducing the amount of data in high-quality digital audio were examined: minimum-length (Huffman) coding and differential floating-point coding. It was found that although minimum-length coding produces no distortion, it cannot uniformly reduce all different kinds of audio. On the other hand, differential coding uniformly reduces all kinds of sounds but can cause audible distortion on some signals.
Author (s): Moorer, James A.
Affiliation:
IRCAM, Paris, France
(See document for exact affiliation information.)
AES Convention: 62
Paper Number:1443
Publication Date:
1979-03-06
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Permalink: https://aes2.org/publications/elibrary-page/?id=2911
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Moorer, James A.; 1979; Data Reduction Techniques for High-Quality Digitized Audio [PDF]; IRCAM, Paris, France; Paper 1443; Available from: https://aes2.org/publications/elibrary-page/?id=2911
Moorer, James A.; Data Reduction Techniques for High-Quality Digitized Audio [PDF]; IRCAM, Paris, France; Paper 1443; 1979 Available: https://aes2.org/publications/elibrary-page/?id=2911