DocumentCode
3046443
Title
Linear prediction in the singular case and the stability of eigen models
Author
Gueguen, Cedric
Author_Institution
Ecole Nationale Superieure des Telecommunications, Paris
Volume
6
fYear
1981
fDate
29677
Firstpage
881
Lastpage
885
Abstract
The paper gives some insight on the use of Levinson´s recursion on non positive Toeplitz matrices. The critical case, where a principal minor is zero, leads to define a new lossless lattice structure with zeros on the unit circle, also useful in the standard case. The stability of the AR models built on the eigen vectors of a Toeplitz is also examined, most of the corresponding zeros are shown to lie on the unit circle. The results apply to noise cancellation, spectral line analysis and computation of eigenvectors of correlation matrices.
Keywords
Antenna arrays; Covariance matrix; Eigenvalues and eigenfunctions; Iterative algorithms; Lattices; Noise cancellation; Noise reduction; Predictive models; Spectral analysis; Stability;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '81.
Type
conf
DOI
10.1109/ICASSP.1981.1171238
Filename
1171238
Link To Document