The proposed technique constructs a model of the problem using available a priori knowledge and in consonance with a finite number of observations that comes ...
The proposed technique constructs a model of the problem using available a priori knowledge and in consonance with a finite number of observations that comes ...
Mar 13, 2024 · The proposed technique constructs a model of the problem using available a priori knowledge and in consonance with a finite number of ...
Nov 21, 2013 · Abstract—The problem of resampling factor estimation as a means for tampering detection has been largely investigated.
Bibliographic details on Set-membership identification of resampled signals.
BibTeX key: conf/wifs/Vazquez-PadinCP13; entry type: inproceedings; booktitle: WIFS; year: 2013; pages: 150-155; publisher: IEEE; crossref: conf/wifs/2013 ...
Transfer Functions: In this paper, we consider sampled- data systems with ... [6] J. R. Deller, "Set membership identification in digital signal process-.
Missing: resampled | Show results with:resampled
Title, Set-Membership Identification of Resampled Signals ; Publication Type, Conference Paper ; Authors, Vázquez-Padín, D, Comesaña, P, Pérez-González, F ...
The identification of continuous-time systems from discrete-time data is investigated in a bounded-error context. Errors are taken as a discrete time signal ...
Missing: resampled | Show results with:resampled
The objective is to identify one-step-ahead models and their accuracy in terms of worst-case simulation error bounds. To do so, the Set. Membership ...
Missing: resampled | Show results with:resampled