Title :
On geometric sequences of reflection coefficients and Gaussian autocorrelations
Author :
Yagle, Andrew E.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA
fDate :
10/1/1988 12:00:00 AM
Abstract :
The author shows that by interpreting the lattice filter as a discrete transmission line, the problem of determining the reflection coefficients associated with a Gaussian autocorrelation can be solved easily using the Schur algorithm. These reflection coefficients have been shown to be in geometric progression; it is claimed that this has been done in a much simpler and more enlightening manner than in the presentation of G. Jacoriti and G. Scarano (see ibid., vol.75, no.7, p.960-961, 1987). The geometric progression of reflection coefficients leads to a stationarity property of the discrete transmission line, which accounts for the striking simplicity of the expressions for the waves traveling in the line
Keywords :
filtering and prediction theory; transmission line theory; Gaussian autocorrelations; Schur algorithm; discrete transmission line; geometric sequences; lattice filter; reflection coefficients; stationarity property; Adaptive filters; Autocorrelation; Fast Fourier transforms; Filtering; Inverse problems; Lattices; Random processes; Reflection; Transient response; Transmission lines;
Journal_Title :
Proceedings of the IEEE