Title :
Asymmetric interpolation lattice
Author_Institution :
Dept. of Electron. Eng., Fu Jen Catholic Univ., Taipei, Taiwan
fDate :
5/1/1996 12:00:00 AM
Abstract :
This paper presents a new lattice structure for linear interpolation. The interpolation lattice structure is asymmetric in the sense that the number of past and future values linearly weighted to estimate the current value does not have to be identical. The lattice structure provides a computationally efficient and structurally flexible realization for the interpolation lattice. It also leads to a generalization of the concepts of the well-known linear prediction lattice and symmetric interpolation lattice
Keywords :
estimation theory; filtering theory; interpolation; lattice filters; least squares approximations; random processes; signal processing; asymmetric interpolation lattice; estimation; filters; lattice structure; least squares criterion; linear interpolation; linear prediction lattice; minimum mean square error criterion; signal processing; symmetric interpolation lattice; Autocorrelation; Equations; Finite impulse response filter; Interpolation; Lattices; Mean square error methods; Random processes; Signal processing; Vectors;
Journal_Title :
Signal Processing, IEEE Transactions on
