Predictive modeling for lossless audio compression
- Autoregressive (AR) modeling by linear prediction (LP) provides the basis of a wide variety of signal processing and communication systems including parametric spectral estimation and system identification. Perhaps the greatest success of linear prediction techniques is to be found in speech analysis and audio coding. In this paper, we first reviewed the general frameworks of predictive signal modeling and investigated various prediction filter structures including the modified linear predictor. We then empirically compared the compression performamce of these prediction filters by applying to the lossless audio compression system. We also applied different filter orders and block lengths for each filter to explore their influence on the compression ratio.
