Partial distortion sensitive competitive learning algorithm for optimal codebook design
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
| Original language | English |
|---|---|
| Pages (from-to) | 1757-1758 |
| Journal / Publication | Electronics Letters |
| Volume | 32 |
| Issue number | 19 |
| Publication status | Published - 12 Sept 1996 |
Link(s)
Abstract
An effective competitive learning algorithm based on the partial distortion theorem is proposed for optimal codebook design. Compared with some representative learning algorithms for codebook design, the proposed algorithm has consistently shown the best performance for designing codebooks of different sizes, especially large size codebooks.
Research Area(s)
- Learning systems, Vector quantisation
Citation Format(s)
Partial distortion sensitive competitive learning algorithm for optimal codebook design. / Zhu, C.; Po, L. M.
In: Electronics Letters, Vol. 32, No. 19, 12.09.1996, p. 1757-1758.
In: Electronics Letters, Vol. 32, No. 19, 12.09.1996, p. 1757-1758.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
