May 22, 2018 · This paper proposes a novel non-oscillatory pattern (NOP) learning scheme for several oscillatory data analysis problems including signal ...
May 24, 2018 · This paper proposes a novel non-oscillatory pattern (NOP) learning scheme for several oscillatory data analysis problems including signal ...
Dec 31, 2017 · This paper proposes a novel kernel-based optimization scheme to handle tasks in the analysis, e.g., signal spectral estimation and ...
This paper proposes a novel non-oscillatory pattern (NOP) learning scheme for several oscillatory ... Non-Oscillatory Pattern Learning for Non-Stationary Signals.
This paper proposes a novel non-oscillatory pattern (NOP) learning scheme for several oscillatory data analysis problems including signal decomposition, super- ...
Abstract: This paper proposes a novel kernel-based optimization scheme to handle tasks in the analysis, e.g., signal spectral estimation and single-channel ...
Non-Oscillatory Pattern Learning for Non-Stationary Signals. ... J. Xu, Y. Li, D. Dunson, I. Daubechies, and H. Yang.
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Jul 4, 2023 · Abstract:The decomposition of non-stationary signals is an important and challenging task in the field of signal time-frequency analysis.
Yang: Non-oscillatory pattern learning for non-stationary signals. Preprint ... This paper proposes a novel non-oscillatory pattern (NOP) learning ...
In this work, we propose a time-varying wave-shape extraction algorithm based on a modified version of the adaptive non-harmonic model for non-stationary ...