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.
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