Name
Abstract | ||
|---|---|---|
This paper introduces a novel prediction structure for improving the lossless compression ratio, by accounting for companding nonlinear- ities of different sample-based audio formats. This applies to a wide class of formats including a-law, μ-law, DAT-LP (Digital Audio Tape recorders), DV-LP (Digital Video camcorders), and HDCD (High De� nition Compatible Digital). The proposed prediction structure obtains signi� cant compression improvements (8-12%) over tradi- tional linear prediction for a-law, μ-law, DAT-LP, DV-LP and also small compression improvements for HDCD. The improvement in compression can also be used for the detection of nonlinearities in HDCD format, making possible to play HDCD CDs at improved audio resolution in ordinary public domain players. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/ICASSP.2007.366666 | Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference |
Keywords | Field | DocType |
audio coding,audio recording,data compression,audio resolution,digital audio tape recorders,digital video camcorders,high definition compatible digital,lossless audio compression,nonlinearities detection,public domain players,audio compression,audio formats,companding,lossless compression,nonlinear prediction | Accounting,Data compression ratio,Speech coding,Lossy compression,Computer science,Companding,Digital Audio Tape,Data compression,Dynamic range compression,Lossless compression | Conference |
Volume | ISSN | ISBN |
1 | 1520-6149 | 1-4244-0727-3 |
Citations | PageRank | References |
5 | 1.55 | 3 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Florin Ghido | 1 | 35 | 6.97 |
| Ioan Tabus | 2 | 276 | 38.23 |