Title
Multisignal Spectral Estimation Using An Iterative Relative Entropy Method.
Abstract
A generalization of a method of spectral estimation (M. A. Tzannes, Ch. Moussas, and N. S. Tzannes, Digital Signal Processing, 84, 1984) is presented. The algorithm extends the method to the multiple signals case while still using an iterative procedure of the relative entropy method for estimating the spectral densities of the multisignal input data. Several current methods of relative entropy spectral estimation which involves solving N nonlinear equations simultaneously are also presented. The performance of the presented algorithm is compared to the maximum-entropy and other relative entropy methods, in terms of precision and computational efficiency. Classical examples are repeated and compared between the different methods.
Publication Date
1-1-1988
Publication Title
Conference Proceedings - IEEE SOUTHEASTCON
Number of Pages
45-49
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
Copyright Status
Unknown
Socpus ID
0023844266 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/0023844266
STARS Citation
Alsaka, Y. A.; Tzannes, N. S.; and Gregory, D. M., "Multisignal Spectral Estimation Using An Iterative Relative Entropy Method." (1988). Scopus Export 1980s. 256.
https://stars.library.ucf.edu/scopus1980/256