Name
Abstract | ||
|---|---|---|
A fast-search method is introduced to reduce the searching range of a codebook using the ordering property of LSF parameters. We apply the proposed fast-search method to the G.723.1 coder with the predictive split VQ structure. Simulation results indicate that using this fast-search method, the average searching range of the codebook can be reduced by 20.1% without degradation of the spectral distortion (SD) and additional increases of memories. The reduction of 20.1% in the average searching range results in the decrease of 19.1%, 20.1%, 19.4%, and 12.2% in the number of additions, subtractions, multiplies, and comparisons, respectively. |
Year | DOI | Venue |
|---|---|---|
2001 | 10.1109/4234.922763 | IEEE Communications Letters |
Keywords | Field | DocType |
Prediction algorithms,Linear predictive coding,Degradation,Speech synthesis,Filters,Vector quantization,Associate members,Frequency,Speech coding,Predictive coding | Signal processing,Speech coding,Search algorithm,Algorithm,Linear prediction,Real-time computing,Speech recognition,Vector quantization,Linear predictive coding,Mathematics,Computational complexity theory,Codebook | Journal |
Volume | Issue | ISSN |
5 | 5 | 1089-7798 |
Citations | PageRank | References |
1 | 0.36 | 3 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sangwon Kang | 1 | 21 | 6.06 |
| Changyong Son | 2 | 5 | 1.38 |
| Ho-Sang Sung | 3 | 33 | 5.68 |