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Linde, Buzo, and Gray (LBG) proposed a VQ design algorithm based on a training sequence. The use of a training sequence bypasses the need for multi-dimensional integration. The LBG algorithm is of iterative type and in each iteration a large set of vectors, generally referred to as training set, is needed to be processed. Usually, vectors sampled from a group of typical signals to be encoded altogether construct a training set T={x1,x 2,?.x M} ,where xi represents a sampled training vector and M represents the size of training set which is far greater than the codebook size N.
Cita come
AARATHY M (2026). IMAGE COMPRESSION USING LBG ALGORITHM (https://it.mathworks.com/matlabcentral/fileexchange/10457-image-compression-using-lbg-algorithm), MATLAB Central File Exchange. Recuperato .
Informazioni generali
- Versione 1.0.0.0 (85,2 KB)
-
Nessuna licenza
Compatibilità della release di MATLAB
- Compatibile con qualsiasi release
Compatibilità della piattaforma
- Windows
- macOS
- Linux
| Versione | Pubblicato | Note della release | Action |
|---|---|---|---|
| 1.0.0.0 |
