The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
When seeking for a sparse solution of a linear model, a common technique is the search of a solution with minimum ℓ1 norm. In this paper, we present a new approach for the case of sparse linear mixed models. We combine the EM algorithm for solving the inverse problem with a decision test that guarantees sparseness by eliminating the statistically null components of the solution. We address its performance...
The authors present a statistical analysis of the poles and amplitude coefficients estimated using a total least squares (TLS)-Prony method where signals consist of arbitrary damped exponential terms in noise. Both the true and extraneous modes are considered in the analysis. The derivation for this procedure is based on a first order perturbation analysis; thus the analysis assumes high SNR. The...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.