Name
Abstract | ||
|---|---|---|
Presented a method for quantizing the wideband line spectrum frequencies (LSF) with a specific class of near-ellipsoidal lat- tice codes referred to as "generalized Voronoi codes". Opti- mization procedures are described with respect to a weighted mean-square error (WMSE). The lattices , or are applied to quantize the LSF with no frequency splitting. Re- sults indicate that near-ellipsoidal lattice quantization allows to develop efficient one-stage algebraic wideband LSF quantiza- tion at competitive bit rates. |
Year | Venue | Field |
|---|---|---|
2001 | INTERSPEECH | Wideband,Pattern recognition,Computer science,Speech recognition,Artificial intelligence,Voronoi diagram,Quantization (signal processing) |
DocType | Citations | PageRank |
Conference | 3 | 0.47 |
References | Authors | |
4 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Stéphane Ragot | 1 | 73 | 9.92 |
| Hassan Lahdili | 2 | 17 | 2.06 |
| Lefebvre, R. | 3 | 93 | 18.55 |