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
fDate :
5/1/1994 12:00:00 AM
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. He shows that any polytope of univariate reciprocal polynomials are nonzero on the unit-circle, if and only if a set of real-valued rationals corresponding to its vertices are entirely either positive or negative on the unit-circle. Ensuring that these vertex rationals are entirely either positive or negative on the unit-circle can be carried out by the tests described by Lakshmanan (1992). When these existing tests are combined with the results contained in this paper, it provides a complete procedure for testing the nonzeroness of polytopes of univariate reciprocal polynomials over the unit-circle. He shows that this result generalizes to the case of multivariate polynomials. For any polytope 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 its vertices are entirely either positive or negative on the unit-polycircle. Again, by using the test, the positivity or the negativity of the vertex rationals can be ensured as well, thereby resulting in a complete procedure for testing the nonzeroness of an entire polytope of multivariate reciprocal polynomials over the unit-polycircle. Although he develops the results for polytopic families, he then extends those results to the case of non-polytopic reciprocal polynomial families
Keywords :
polynomials; multivariate reciprocal polynomials; nonpolytopic reciprocal polynomial; polytopes; real-valued rationals; robustness properties; unit-circle; unit-polycircle; univariate reciprocal polynomials; vertex rationals; Application software; Autocorrelation; Finite impulse response filter; Nonlinear filters; Polynomials; Robustness; Signal processing; Speech processing; Testing; Transfer functions;
Journal_Title :
Signal Processing, IEEE Transactions on