论文信息 - Linear interpolation lattice

Linear interpolation lattice

The analysis and synthesis filters of linear prediction theory are extended to include linear interpolation. A noncausal lattice filter for linear interpolation is obtained from the linear interpolation recursion. The results provide insight into the interrelation of prediction and interpolation and of one- and two-sided representations of one-dimensional Markov sequences. >

John A. Stuller | Cameron K. Coursey

[1] D. Farden,et al. A new structure for adaptive linear-phase filtering , 1987 .

[2] John W. Woods,et al. Two-dimensional discrete Markovian fields , 1972, IEEE Trans. Inf. Theory.

[3] J. L. Hock,et al. An exact recursion for the composite nearest‐neighbor degeneracy for a 2×N lattice space , 1984 .

[4] N. Levinson. The Wiener (Root Mean Square) Error Criterion in Filter Design and Prediction , 1946 .

[5] Steven Kay,et al. Some results in linear interpolation theory , 1983 .

[6] Bernard C. Picinbono,et al. Some properties of prediction and interpolation errors , 1988, IEEE Trans. Acoust. Speech Signal Process..

[7] Philippe Delsarte,et al. The split Levinson algorithm , 1986, IEEE Trans. Acoust. Speech Signal Process..

[8] B. Friedlander. Lattice methods for spectral estimation , 1982, Proceedings of the IEEE.

[9] J. Durbin. EFFICIENT ESTIMATION OF PARAMETERS IN MOVING-AVERAGE MODELS , 1959 .

[10] D. L. Helsey,et al. Linear estimation filters in spectral analysis , 1976, ICASSP.