Title :
The robustness properties of univariate and multivariate reciprocal polynomials
Author :
Lakshmanan, Sridhar
Author_Institution :
Dept. of Electr. & Comput. Eng., Michigan Univ., Dearborn, MI, USA
Abstract :
The author investigates the robustness properties of univariate and multivariate reciprocal polynomials that are nonzero on the unit circle and the unit polycircle, respectively. It is shown that any nonseparable collection of univariate reciprocal polynomials is nonzero on the unit circle, if and only if a set of real-valued rationals corresponding to the vertices of the convex hull of that collection are entirely positive or negative on the unit circle. It is shown that this result generalizes to the case of multivariable polynomials: for a nonseparable collection of multivariate polynomials to be nonzero on the unit polycircle, it is necessary and sufficient that a set of real-valued multivariate rationals corresponding to the vertices of the convex-hull of that collection are entirely either positive or negative on the unit polycircle. The applicability of this result in signal and image processing, spectrum estimation, and stochastic modeling is discussed, and some examples of its usefulness are given
Keywords :
image processing; polynomials; signal processing; spectral analysis; stochastic processes; convex hull vertices; image processing; multivariable polynomials; multivariate reciprocal polynomials; robustness properties; signal processing; spectrum estimation; stochastic modeling; unit circle; unit polycircle; univariate reciprocal protocols; Autocorrelation; Finite impulse response filter; Image processing; Nonlinear filters; Polynomials; Robustness; Signal processing; Spectral analysis; Stochastic processes; Transfer functions;
Conference_Titel :
Signals, Systems and Computers, 1992. 1992 Conference Record of The Twenty-Sixth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
0-8186-3160-0
DOI :
10.1109/ACSSC.1992.269231