Fractal Wavelet Compression of Audio Signals
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.
Click to purchase paper or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!
This paper costs $20 for non-members, $5 for AES members and is free for E-Library subscribers.