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.

Authors: Wannamaker, Robert A.; Vrscay, Edward R.
Affiliation: Department of Applied Mathematics, University of Waterloo, Waterloo, ON, Canada
JAES Volume 45 Issue 7/8 pp. 540-553; July 1997
Publication Date: July 1, 1997

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