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

Volume

3

fYear

1998

fDate

12-15 May 1998

Firstpage

1473

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on

Conference_Location

Seattle, WA

ISSN

1520-6149

Print_ISBN

0-7803-4428-6

Type

conf

DOI

10.1109/ICASSP.1998.681727

Filename

681727