G - Physics – 10 – L
Patent
G - Physics
10
L
G10L 19/06 (2006.01)
Patent
CA 2228172
The present invention teaches of a method of encoding linear predictive coefficient data. The present invention transforms the linear predictive coefficient data into line spectral cosine data (103). The line spectral cosine data is used to generate two recursively defined vectors (104). The recursively defined vectors are used to compute a set of sensitivity autocorrelation values (106a-106N) and a set of sensitivity cross correlation (107a-107N). The line spectral cosine values are used to compute a set of line spectral square root values.
La présente invention concerne un procédé de codage de données de coefficients prédictifs linéaires, qu'elle transforme en données cosinusoïdales de spectres de raies (103). Ces dernières sont utilisées pour générer deux vecteurs (104) définis de façon récursive, qui servent à calculer un ensemble de valeurs d'autocorrélation de sensibilité (106a-106N) et ensemble de corrélations croisées de sensibilité (107a-107N). Les valeurs cosinusoïdales de spectres de raies servent à calculer un ensemble de racines carrées de spectres de raies.
Gardner William R.
Manjunath Sharath
Monta Peter
Qualcomm Incorporated
Smart & Biggar
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