Continuous time domain properties of causal cubic splines

被引:6
作者
Petrinovic, D. [1 ]
机构
[1] Univ Zagreb, Fac Elect Engn & Comp, Zagreb 10000, Croatia
关键词
Causality; Interpolation; Signal reconstruction; Signal resampling; Cubic spline; Cardinal spline functions; PART I; INTERPOLATION; SIGNAL; RECONSTRUCTION; APPROXIMATION; CONVERGENCE; FILTERS; DESIGN; FIT;
D O I
10.1016/j.sigpro.2009.03.031
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The paper studies the continuous time domain properties of causal cubic splines with equidistant knots. Causality is achieved by truncating the impulse response of the ideal interpolator to a chosen length. The introduced error affects the final interpolation differently depending on the considered output filter formulation. For the first formulation it is the regularity that is sacrificed while for the second it is the interpolation and splitting of unit delay properties. The analysis of the casual cardinal splines' spectra also demonstrates different manifestation of the causality induced error that affects either the pass-band region only or both the pass-band and the stop-band region. The frequency kernel is used for objective comparison of the causal and the non-causal interpolators including the causal piecewise cubic MOMS interpolator. Their relative interpolation performance was determined both for wide-band as well as for oversampled narrow-band input signals. The transparent delay is identified for which the causal and the non-causal interpolators achieve identical band-limited reconstruction accuracy. (C) 2009 Elsevier B.V. All rights reserved.
引用
收藏
页码:1941 / 1958
页数:18
相关论文
共 38 条
[1]   CARDINAL SPLINE FILTERS - STABILITY AND CONVERGENCE TO THE IDEAL SINC INTERPOLATOR [J].
ALDROUBI, A ;
UNSER, M ;
EDEN, M .
SIGNAL PROCESSING, 1992, 28 (02) :127-138
[2]  
[Anonymous], COMPUT MATHS MATH PH
[3]  
[Anonymous], 1986, Curve and Surface Fitting
[4]  
[Anonymous], 1978, PRACTICAL GUIDE SPLI
[5]   Quantitative Fourier analysis of approximation techniques: Part I - Interpolators and projectors [J].
Blu, T ;
Unser, M .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 1999, 47 (10) :2783-2795
[6]   Complete parameterization of piecewise-polynomial interpolation kernels [J].
Blu, T ;
Thévenaz, P ;
Unser, M .
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2003, 12 (11) :1297-1309
[7]   MOMS:: Maximal-order interpolation of minimal support [J].
Blu, T ;
Thévenaz, P ;
Unser, M .
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2001, 10 (07) :1069-1080
[8]  
BLU T, 2007, P EUSIPCO 2004, P1417
[9]  
DAVIS PJ, 1972, HDB MATH FUNCTIONS F, P260
[10]   Fast on-line B-spline interpolation [J].
Dooley, SR ;
Stewart, RW ;
Durrani, TS .
ELECTRONICS LETTERS, 1999, 35 (14) :1130-1131