Data pre-processing for high-resolution adaptive algorithms
Document typeConference report
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Rights accessOpen Access
The inclusion of adaptive methods in high-resolution spectral estimation algorithms is considered. The generation of a complete family of spectral estimators from the normalized maximum-likelihood method (MLM) is discussed. It is shown how the generalized power MLM can be used to generate adaptive schemes for improving resolution. The authors propose the substitution of the conventional mean-square filtering error by quadratic objectives built as inner products of the coefficient error vector of the estimator filter
CitationVazquez, G., Gasull, A. Data pre-processing for high-resolution adaptive algorithms. A: IEEE International Symposium on Circuits and Systems. "ISCAS 1988: the IEEE International Symposium on Circuits and Systems: proceedings". Monterey: Institute of Electrical and Electronics Engineers (IEEE), 1988, p. 736-766.
All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder