We present a new method for automatic detection of peaks in noisy periodic and quasi-periodic signals. The new method, called automatic multiscale-based peak detection (AMPD), is based on the calculation and analysis of the local maxima scalogram, a matrix comprising the scale-dependent occurrences of local maxima. The usefulness of the proposed method is shown by applying the AMPD algorithm to simulated and real-world signals
A common approach to detect sinusoidal signals buried in noise is based on spectral analysis, such a...
In the hierarchical search for periodic sources the construction of the short FFT database (SFDB) pl...
International audienceMultifractal analysis aims to characterize signals, functions, images or field...
We present a new method for automatic detection of peaks in noisy periodic and quasi-periodic signal...
This paper represents a modified version (called T-AMPD) of automatic multiscale-based peak detectio...
International audienceAn original novelty detection algorithm in the Fourier domain, using extreme v...
Detecting signals with hidden periodicity is awide and popular task in most complicatedtechnical sys...
[[abstract]]A novel periodogram-based maximum-likelihood algorithm is proposed for a frequency estim...
Electrical and electromagnetic methods often require the determination of the amplitude of a periodi...
In this paper we present a wavelet based algorithm that is able to detect superimposed periodic sign...
Conference PaperThis paper presents results on the multiresolution analysis of nonstationary signals...
In this article the periodic signal detection method on the base of Duffing system chaotic oscillati...
The aim of this paper is to propose a new peak detection method for a portable device, which know as...
Signal amplitude envelope allows to obtain information of the signal features for different applicat...
The aim of this paper is to propose a new peak detection method for a portable device, which know as...
A common approach to detect sinusoidal signals buried in noise is based on spectral analysis, such a...
In the hierarchical search for periodic sources the construction of the short FFT database (SFDB) pl...
International audienceMultifractal analysis aims to characterize signals, functions, images or field...
We present a new method for automatic detection of peaks in noisy periodic and quasi-periodic signal...
This paper represents a modified version (called T-AMPD) of automatic multiscale-based peak detectio...
International audienceAn original novelty detection algorithm in the Fourier domain, using extreme v...
Detecting signals with hidden periodicity is awide and popular task in most complicatedtechnical sys...
[[abstract]]A novel periodogram-based maximum-likelihood algorithm is proposed for a frequency estim...
Electrical and electromagnetic methods often require the determination of the amplitude of a periodi...
In this paper we present a wavelet based algorithm that is able to detect superimposed periodic sign...
Conference PaperThis paper presents results on the multiresolution analysis of nonstationary signals...
In this article the periodic signal detection method on the base of Duffing system chaotic oscillati...
The aim of this paper is to propose a new peak detection method for a portable device, which know as...
Signal amplitude envelope allows to obtain information of the signal features for different applicat...
The aim of this paper is to propose a new peak detection method for a portable device, which know as...
A common approach to detect sinusoidal signals buried in noise is based on spectral analysis, such a...
In the hierarchical search for periodic sources the construction of the short FFT database (SFDB) pl...
International audienceMultifractal analysis aims to characterize signals, functions, images or field...