27 citations · 156 across the 20 of their papers we have counts for
21 papers
A novel algorithm for the decomposition of non-stationary multidimensional and multivariate signals
Roberto Cavassi, Antonio Cicone, Enza Pellegrino +1
The decomposition of a signal is a fundamental tool in many fields of research, including signal processing, geophysics, astrophysics, engineering, medicine, and many more. By brea…
Extension and convergence analysis of Iterative Filtering to spherical data
Giovanni Barbarino, Roberto Cavassi, Antonio Cicone
Many real-life signals are defined on spherical domains, in particular in geophysics and physics applications. In this work, we tackle the problem of extending the iterative filter…
Gamma-Ray Burst observations by the high-energy charged particle detector on board the CSES-01 satellite between 2019 and 2021
Francesco Palma, Matteo Martucci, Coralie Neubüser +68
In this paper we report the detection of five strong Gamma-Ray Bursts (GRBs) by the High-Energy Particle Detector (HEPD-01) mounted on board the China Seismo-Electromagnetic Satell…
IRCNN: An Enhanced Iterative Residual Convolutional Neural Network for Non-stationary Signal Decomposition
Feng Zhou, Antonio Cicone, Haomin Zhou
Time-frequency analysis is an important and challenging task in many applications. Fourier and wavelet analysis are two classic methods that have achieved remarkable success in man…
RRCNN: A novel signal decomposition approach based on recurrent residue convolutional neural network
Feng Zhou, Antonio Cicone, Haomin Zhou
The decomposition of non-stationary signals is an important and challenging task in the field of signal time-frequency analysis. In the recent two decades, many signal decompositio…
New theoretical insights in the decomposition and time-frequency representation of nonstationary signals: the IMFogram algorithm
Antonio Cicone, Wing Suet Li, Haomin Zhou
The analysis of the time-frequency content of a signal is a classical problem in signal processing, with a broad number of applications in real life. Many different approaches have…
One or two frequencies? The Iterative Filtering answers
Antonio Cicone, Stefano Serra-Capizzano, Haomin Zhou
The Iterative Filtering method is a technique aimed at the decomposition of non-stationary and non-linear signals into simple oscillatory components. This method, proposed a decade…
Stabilization and Variations to the Adaptive Local Iterative Filtering Algorithm: the Fast Resampled Iterative Filtering Method
Giovanni Barbarino, Antonio Cicone
Non-stationary signals are ubiquitous in real life. Many techniques have been proposed in the last decades which allow decomposing multi-component signals into simple oscillatory m…
Spacetime Hall-MHD turbulence at sub-ion scales: structures or waves?
Emanuele Papini, Antonio Cicone, Luca Franci +4
Spatiotemporal properties of two-dimensional (2D) Hall-magnetohydrodynamic turbulence at intermediate plasma are studied by means of Fast Iterative Filtering, a new technique…
Time-frequency representation of nonstationary signals: the IMFogram
Philippe Barbe, Antonio Cicone, Wing Suet Li +1
Iterative filtering methods were introduced around 2010 to improve definitions and measurements of structural features in signal processing. Like many applied techniques, they pres…
Conjectures on spectral properties of ALIF algorithm
Giovanni Barbarino, Antonio Cicone
A new decomposition method for nonstationary signals, named Adaptive Local Iterative Filtering (ALIF), has been recently proposed in the literature. Given its similarity with the E…
Multidimensional Iterative Filtering: a new approach for investigating plasma turbulence in numerical simulations
Emanuele Papini, Antonio Cicone, Mirko Piersanti +4
Turbulent space and astrophysical plasmas exhibit a complex dynamics, which involves nonlinear coupling across different temporal and spatial scales. There is growing evidence that…
Multivariate Fast Iterative Filtering for the decomposition of nonstationary signals
Antonio Cicone, Enza Pellegrino
In this work, we present a new technique for the decomposition of multivariate data, which we call Multivariate Fast Iterative Filtering (MvFIF) algorithm. We study its properties,…
Iterative Filtering as a direct method for the decomposition of non-stationary signals
Antonio Cicone
The Iterative Filtering method is a technique developed recently for the decomposition and analysis of non-stationary and non-linear signals. In this work we propose two alternativ…
Study of boundary conditions in the Iterative Filtering method for the decomposition of nonstationary signals
Antonio Cicone, Pietro Dell'Acqua
Nonstationary and nonlinear signals are ubiquitous in real life. Their decomposition and analysis is an important topic of research in signal processing. Recently a new technique,…
Numerical Analysis for Iterative Filtering with New Efficient Implementations Based on FFT
Antonio Cicone, Haomin Zhou
Real life signals are in general non--stationary and non--linear. The development of methods able to extract their hidden features in a fast and reliable way is of high importance…
Nonstationary signal decomposition for dummies
Antonio Cicone
How can I decompose a nonstationary signal? What are the advantages of using the most recent methods available in the literature versus using classical methods like (short time) Fo…
Hyperspectral Chemical Plume Detection Algorithms Based On Multidimensional Iterative Filtering Decomposition
Antonio Cicone, Jingfang Liu, Haomin Zhou
Chemicals released in the air can be extremely dangerous for human beings and the environment. Hyperspectral images can be used to identify chemical plumes, however the task can be…
Multidimensional Iterative Filtering method for the decomposition of high-dimensional non-stationary signals
Antonio Cicone, Haomin Zhou
Iterative Filtering (IF) is an alternative technique to the Empirical Mode Decomposition (EMD) algorithm for the decomposition of non-stationary and non-linear signals. Recently in…
A note on the Joint Spectral Radius
Antonio Cicone
A brief summary on the properties of the so called Joint Spectral Radius
Adaptive Local Iterative Filtering for Signal Decomposition and Instantaneous Frequency analysis
Antonio Cicone, Jingfang Liu, Haomin Zhou
Time-frequency analysis for non-linear and non-stationary signals is extraordinarily challenging. To capture features in these signals, it is necessary for the analysis methods to…