2016
Confidence assessment for spectral estimation based on estimated covariances
ICASSP 2016accepted
In probability theory, time series analysis, and signal processing, many identification and estimation methods rely on covariance estimates as an intermediate statistics. Errors in estimated covariances propagate and degrade the quality of the estimation result. In particular, in large network syste…