Add to ORKGAbstract The paper reviews some recent progress on adaptive signal decom-position into mono-components that are defined to be the signals of non-negative analytic phase derivatives. Key Words: Hilbert transform, analytic signal, analytic phase derivative, mono-component, Bedrosian identity, adaptive decomposition, starlike function
We propose a new algorithm to compute the frequency modulation functions associated with the well-kn...
Submitted to Applied and Computational Harmonic AnalysisIn this paper we extend analytic signal to t...
International audienceIn this paper we propose a new method called Spectral Intrinsic Decomposition ...
We introduce the concept adaptive decomposition of signals into basic build-ing blocks, of which eac...
The concepts of intrinsic mode functions and mono-components are investigated in rela-tion to the em...
An analytic signal permits unambiguous characterization of the phase and envelope of a real signal. ...
Abstract: In the Clifford algebra setting of a Euclidean space on the boundary of a domain it is nat...
International audienceIn this work we provide an extension to analytic signal method for multidimens...
The Adaptive Fourier Decomposition (AFD) is a novel signal decomposition algorithm that can describe...
We present an efficient numerical algorithm to compute Hilbert Transform to obtain the minimum-phase...
This paper introduces a two-dimensional generalization of the analytic signal. This novel approach i...
In the literature adaptive Fourier decomposition is abbreviated as AFD that addresses adaptive ratio...
Signal denoising based on the adaptive Fourier decomposition (AFD) is investigated and an approach, ...
A unified linear algebraic approach to adaptive signal processing (ASP) is presented. Starting from ...
© Springer International Publishing Switzerland 2015. Fourier has been a powerful mathematical tool ...
We propose a new algorithm to compute the frequency modulation functions associated with the well-kn...
Submitted to Applied and Computational Harmonic AnalysisIn this paper we extend analytic signal to t...
International audienceIn this paper we propose a new method called Spectral Intrinsic Decomposition ...
We introduce the concept adaptive decomposition of signals into basic build-ing blocks, of which eac...
The concepts of intrinsic mode functions and mono-components are investigated in rela-tion to the em...
An analytic signal permits unambiguous characterization of the phase and envelope of a real signal. ...
Abstract: In the Clifford algebra setting of a Euclidean space on the boundary of a domain it is nat...
International audienceIn this work we provide an extension to analytic signal method for multidimens...
The Adaptive Fourier Decomposition (AFD) is a novel signal decomposition algorithm that can describe...
We present an efficient numerical algorithm to compute Hilbert Transform to obtain the minimum-phase...
This paper introduces a two-dimensional generalization of the analytic signal. This novel approach i...
In the literature adaptive Fourier decomposition is abbreviated as AFD that addresses adaptive ratio...
Signal denoising based on the adaptive Fourier decomposition (AFD) is investigated and an approach, ...
A unified linear algebraic approach to adaptive signal processing (ASP) is presented. Starting from ...
© Springer International Publishing Switzerland 2015. Fourier has been a powerful mathematical tool ...
We propose a new algorithm to compute the frequency modulation functions associated with the well-kn...
Submitted to Applied and Computational Harmonic AnalysisIn this paper we extend analytic signal to t...
International audienceIn this paper we propose a new method called Spectral Intrinsic Decomposition ...