Title :
An asymptotically optimal predictor for stereo lossless audio compression
Author_Institution :
Univ. Polytech of Bucharest, Romania
Abstract :
Summary form only given. A new generalized stereo decorrelation algorithm and optimal predictor for lossless audio compression is proposed. The proposed algorithm yields around 1.5% better compression than the previous state-of-the-art algorithms. With this approach, the stereo decorrelation and the prediction can be merged into a single step, which can lead to a global minimum for the combined problem. The integer valued audio signal to be encoded is considered. The two discrete time equations, which model the combined problem using an order S intra-channel prediction and an order D inter-channel prediction, are given.
Keywords :
audio coding; data compression; decorrelation; discrete time systems; prediction theory; D interchannel prediction; S intrachannel prediction; asymptotically optimal predictor; integer valued audio signals; stereo decorrelation algorithm; stereo lossless audio compression; Art; Audio compression; Decorrelation; Equations; Iterative algorithms; Matrix decomposition; Prediction algorithms; Predictive models; Symmetric matrices; Testing;
Conference_Titel :
Data Compression Conference, 2003. Proceedings. DCC 2003
Conference_Location :
Snowbird, UT, USA
Print_ISBN :
0-7695-1896-6
DOI :
10.1109/DCC.2003.1194048