Title :
QRD-based LSL interpolators. II. A QRD-based LSL interpolation algorithm
Author :
Bai, Ying-Wen ; Yuan, Jenq-Tay
Author_Institution :
Dept. of Electron. Eng., Fu Jen Catholic Univ., Taipei, Taiwan
Abstract :
In this paper, we derive a quadratic residue decomposition-least squares lattice (QRD-LSL) interpolation algorithm that can be used to construct order-recursive QRD-LSL interpolators based on the exact decoupling property developed in Yuan (1998). QRD-LSL predictors are well known and use past data samples to predict the present data sample while the QRD-LSL interpolators use both past and future data samples to estimate the present data sample. Except for an overall delay needed for physical realization, QRD-LSL interpolators may achieve much better performance than that of the QRD-LSL predictors
Keywords :
interpolation; lattice theory; least squares approximations; matrix decomposition; prediction theory; signal sampling; QRD-LSL predictor; QRD-based LSL interpolators; data samples; exact decoupling property; order-recursive QRD-LSL interpolators; overall delay; physical realization; quadratic residue decomposition-least squares lattice interpolation algorithm; Chromium; Computational efficiency; Convergence of numerical methods; Delay; Dynamic range; Filtering; Interpolation; Lattices; Robustness; Roundoff errors;
Conference_Titel :
Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-4428-6
DOI :
10.1109/ICASSP.1998.681727
