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 :
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