Title :
Min-max interpolators and Lagrange interpolation formula
Author :
Fuchs, Jean-Jacques ; Delyon, Bernard
Author_Institution :
IRISA, Rennes I Univ., France
Abstract :
For oversampled band-limited signals, min-max optimal interpolators have been proposed under assumptions upon either the signal to be interpolated itself (e.g. finite energy) or its Fourier transform. In this paper, we consider the case where the signal is assumed to be bounded. For band-limited signals this is a more realistic assumption that is weaker than those previously considered. We propose an approximate solution that leads to closed form expressions for the interpolator coefficients. It relies upon an extension of the Lagrange interpolation formula.
Keywords :
FIR filters; bandlimited signals; frequency response; interpolation; minimax techniques; polynomials; signal reconstruction; signal sampling; FIR fractional delay filters; Fourier transform; Lagrange interpolation formula; approximate solution; bounded signal; closed form expressions; finite energy assumption; frequency response error magnitude; interpolator coefficients; min-max optimal interpolators; oversampled band-limited signals; signal reconstruction function; Chebyshev approximation; Closed-form solution; Fourier series; Fourier transforms; Interpolation; Lagrangian functions; Matrix decomposition; Sampling methods;
Conference_Titel :
Circuits and Systems, 2002. ISCAS 2002. IEEE International Symposium on
Print_ISBN :
0-7803-7448-7
DOI :
10.1109/ISCAS.2002.1010483