Title :
A superresolution method of ARMA spectral estimation
Author :
Cadzow, James A. ; Moses, Randolph L.
Author_Institution :
Virginia Polytechnic Institute and State University, Blacksburg, VA
Abstract :
Recently, a method for generating an ARMA spectral estimator model which possessed super-resolution performance was developed [2]. This method entailed minimizing a weighted quadratic functional of a set of "basic error terms." An issue which remained to be resolved at that time was the selection of the weighting matrix that characterized the functional being minimized. A weighting matrix selection procedure has recently been developed and is herein reported [8]. This procedure has typically yielded an improvement in spectral estimation performance.
Keywords :
Contracts; Equations; Random variables; White noise; Yield estimation;
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '81.
DOI :
10.1109/ICASSP.1981.1171201