NONNEGATIVITY CONSTRAINED SPECTRAL FACTORIZATION FOR IMAGE RECONSTRUCTION FROM AUTOCORRELATION DATA.
Document Type
Conference Proceeding
Publication Date
1-1-1988
Abstract
The authors consider the factorization of the 1-D and 2-D spectral density functions (z-transforms of real-valued autocorrelation sequences), S(z) and S(z//1,z//2) in the forms Sz equals F(z)F(z**-**1) and S(z//1, z//2) equals F(z//1, z//2) F(z//1**-**1, z//2**-**1), respectively where the coefficient of polynomials F(z) and F(z//1, z//2) are constrained to be nonnegative. The problem is solved only in special cases. In the general situation, the scopes for adapting and generalizing the iterative techniques available for the classical 1-D spectral factorization problem to tackle the nonnegativity constrained spectral factorization problem under study have been analyzed.
Identifier
0023672780 (Scopus)
Publication Title
ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings
ISSN
07367791
First Page
1766
Last Page
1769
Recommended Citation
Shi, Y. Q. and Bose, N. K., "NONNEGATIVITY CONSTRAINED SPECTRAL FACTORIZATION FOR IMAGE RECONSTRUCTION FROM AUTOCORRELATION DATA." (1988). Faculty Publications. 20877.
https://digitalcommons.njit.edu/fac_pubs/20877
