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09/09/2023
RRCNN^+: An Enhanced Residual Recursive Convolutional Neural Network for Non-stationary Signal Decomposition
Time-frequency analysis is an important and challenging task in many app...
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07/04/2023
RRCNN: A novel signal decomposition approach based on recurrent residue convolutional neural network
The decomposition of non-stationary signals is an important and challeng...
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05/31/2022
New theoretical insights in the decomposition and time-frequency representation of nonstationary signals: the IMFogram algorithm
The analysis of the time-frequency content of a signal is a classical pr...
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11/23/2021
One or two frequencies? The Iterative Filtering answers
The Iterative Filtering method is a technique aimed at the decomposition...
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11/04/2021
Stabilization and Variations to the Adaptive Local Iterative Filtering Algorithm: the Fast Resampled Iterative Filtering Method
Non-stationary signals are ubiquitous in real life. Many techniques have...
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11/28/2020
Time-frequency representation of nonstationary signals: the FIFogram
Iterative filtering methods were introduced around 2010 to improve defin...
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09/01/2020
Conjectures on spectral properties of ALIF algorithm
A new decomposition method for nonstationary signals, named Adaptive Loc...
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05/10/2020
Convergence analysis of Adaptive Locally Iterative Filtering and SIFT method
Adaptive Local Iterative Filtering (ALIF) is a currently proposed novel ...
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12/07/2015