CORDIS Project
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The project aims to develop robust models for signal processing that account for variability in real-world signals. By focusing on intrinsic modeling, it seeks to improve noise resilience and the analysis of signals captured through different methods.
A fundamental problem in signal processing is designing models, which are theoretically sound, practical to implement, and describe well the variability of real-world signals.
Finding accurate models of signals sets the foundation to state of the art signal analysis, filtering, prediction, and noise suppression.
In recent years there has been a considerable effort to derive data-driven modeling schemes based on low dimensional geometric analysis, however, several aspects have not yet been thorou…
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