Accession Number : ADA111664

Title :   Deconvolution and Estimation of Transfer Function Phase and Coefficients for NonGaussian Linear Processes.

Descriptive Note : Research rept.,

Corporate Author : CALIFORNIA UNIV SAN DIEGO LA JOLLA DEPT OF MATHEMATICS

Personal Author(s) : Lii,K S ; Rosenblatt,M

PDF Url : ADA111664

Report Date : 04 Nov 1981

Pagination or Media Count : 48

Abstract : NonGaussian linear processes are considered. It is shown that the phase of the transfer function can be estimated under broad conditions. This is not true of Gaussian linear processes and in this sense Gaussian linear processes are a typical. The asymptotic behavior of a phase estimate is determined. The phase estimates make use of bispectral estimates. These ideas are applied to a problem of deconvolution which is effective even when the transfer function is not minimum phase. A number of computational illustrations are given. (Author)

Descriptors :   *Computations, *Estimates, *Linear algebraic equations, *Transfer functions, Gaussian quadrature, Phase, Coefficients, Convolution, Asymptotic series, Graphics, Broadband, Convolution integrals

Subject Categories : Numerical Mathematics

Distribution Statement : APPROVED FOR PUBLIC RELEASE