Conference
High resolution spectral estimation through localized polynomial approximation
Abstract
Autoregressive-moving-average models are not adequate for most tomographic imaging reconstruction problems. Consequently, the high-resolution capability being sought is lost when these models are used. In this work, a model based on localized polynomial approximation of the spectrum is proposed to solve this class of spectral estimation problems. A method for finding the model parameters is give, which uses linear prediction theory, matrix …
Authors
Liang Z-P; Haacke EM; Thomas CW
Pagination
pp. 402-407
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publication Date
January 1, 1988
DOI
10.1109/spect.1988.206230
Name of conference
Fourth Annual ASSP Workshop on Spectrum Estimation and Modeling