ADVANCES IN HIGH-RESOLUTION

Adelaide

【文件名】:0658@52RD_BGLmitter.pdf
【格　式】:pdf
【大　小】:183K
【简　介】:We review a new approach to spectral estimation, based on the
use of filter banks as a means of obtaining spectral interpolation data. This
data replaces the standard covariance estimates used in traditional maximum
entropy spectral estimation. The new method is based on our recent theory of
analytic interpolation with degree constraint and produces suitable pole-zero
(ARMA) models, for which the choice of the zeros (MA-part) of the model is
completely arbitrary. By suitable choices of filter-bank poles and spectral zeros the estimator can be tuned to exhibit high resolution in targeted regions of the spectrum. A convex optimization approach is presented, which is based on a generalized concept of entropy.
【目　录】:
1.1 INTRODUCTION
1.2 BACKGROUND
1.3 A NEW APPROACH TO SPECTRAL ESTIMATION
1.4 A CONVEX OPTIMIZATION APPROACH TO INTERPOLATION
1.5 SIMULATIONS