Low bit rate high quality audio coding with combined harmonic and wavelet representations

In this paper, we describe a novel high quality audio coding method using adaptive signal representation, based on si-nusoidal and wavelet analysis of signals. First, we perform a harmonic analysis of the signal to remove strong periodic structures or tones from the signal. Then we carry out wavelet analysis that are useful in tracking the transients of the signal. These transients are then removed from the wavelet coeecients. The remaining coeecients have broad-band noise-like structure. Since this method separates out tones (sinusoids), transients, and broadband noise, we may use tonal, noise, and temporal masking information to individually encode the tones and the wavelet coeecients. Our experiments suggest that this method yields a nominal bit rate of 1 bit/sample for high quality audio compression.