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A novel approach to audio signal compression is described which marries wavelet transform coding with fractal-based compression techniques. The signal is divided into frames which are subjected to a fast wavelet transform, with subsequent fractal coding of high-frequency wavelet coefficients using a collage approach. Results from initial implementation are examined. Compression ratios above 6:1 should ultimately be attainable with good-fidelity signal reconstruction.
Author (s): Wannamaker, Robert A.; Vrscay, Edward R.
Affiliation:
Department of Applied Mathematics, University of Waterloo, Waterloo, ON, Canada
(See document for exact affiliation information.)
Publication Date:
1997-07-06
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Permalink: https://aes2.org/publications/elibrary-page/?id=7848
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Wannamaker, Robert A.; Vrscay, Edward R.; 1997; Fractal Wavelet Compression of Audio Signals [PDF]; Department of Applied Mathematics, University of Waterloo, Waterloo, ON, Canada; Paper ; Available from: https://aes2.org/publications/elibrary-page/?id=7848
Wannamaker, Robert A.; Vrscay, Edward R.; Fractal Wavelet Compression of Audio Signals [PDF]; Department of Applied Mathematics, University of Waterloo, Waterloo, ON, Canada; Paper ; 1997 Available: https://aes2.org/publications/elibrary-page/?id=7848