Sparse vector linear prediction with optimal structures (CROSBI ID 473856)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Petrinović, Davorka ; Petrinović, Davor
engleski
Sparse vector linear prediction with optimal structures
A modification of a classical Vector Linear Prediction (VLP) technique is proposed in this paper, enabling significant reduction in complexity. The proposed sparse VLP technique (sVLP) is based on predictors with reduced number of nonzero elements. For a given input vector process, a design procedure for obtaining optimal sparse predictor structures and matrix elements is described. The effectiveness of the sVLP is evaluated on interframe predictive coding of Line Spectrum Frequencies (LSF) and compared to the classical VLP based on Switched-Adaptive Interframe Prediction scheme. The loss of the prediction gain due to sparse structures is calculated using various design parameters. Simulation results prove that a 6-fold reduction in complexity of prediction can be achieved causing only insignificant loss of the prediction gain and coder performance.
vector linear prediction; SIVP; line spectrum frequencies; low complexity
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Podaci o prilogu
79-83-x.
2000.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of 7th International Workshop on Systems, Signals and Image Processing, IWSSIP 2000
Čučej, Žarko ; Planinšič, Peter ; Gergič, Bojan
Maribor: IWSSIP 2000 Organizing Committee
Podaci o skupu
7th International Workshop on Systems, Signals and Image Processing, IWSSIP 2000
predavanje
07.06.2000-09.06.2000
Maribor, Slovenija