METHOD AND APPARATUS FOR COMPRESSING AUDIO DATA USING A DYNAMICAL SYSTEM HAVING A MULTI-STATE DYNAMICAL RULE SET AND ASSOCIATED TRANSFORM BASIS FUNCTION

Digital audio is transformed using a set of filters derived from the evolving states of a dynamical system (e.g., cellular automata). The ensuing transform coefficients are quantized using a psycho-acoustic model that is a function of a fidelity parameter and the distribution of the transform coefficients in critical bands within the transform space. The technique results in compression of the original audio data. Recovery of a close approximation of the original audio data is obtained via a rapid inverse transformation. An encoding method is provided for accelerating the transmission of audio data through communications networks and storing the data on a digital storage media.