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The continuous wavelet transform: Moving beyond uni‐and bivariate analysis
L Aguiar‐Conraria, MJ Soares - Journal of economic surveys, 2014 - Wiley Online Library
A body of work using the continuous wavelet transform has been growing. We provide a self‐
contained summary on its most relevant theoretical results, describe how such transforms …
contained summary on its most relevant theoretical results, describe how such transforms …
Denoising method of ground-penetrating radar signal based on independent component analysis with multifractal spectrum
Denoising is commonly used to improve the signal-to-noise ratio of ground-penetrating
radar (GPR) for target detection and recognition. We propose an adaptive GPR denoising …
radar (GPR) for target detection and recognition. We propose an adaptive GPR denoising …
Higher-order properties of analytic wavelets
The influence of higher-order wavelet properties on the analytic wavelet transform behavior
is investigated, and wavelet functions offering advantageous performance are identified …
is investigated, and wavelet functions offering advantageous performance are identified …
A shearlet approach to edge analysis and detection
It is well known that the wavelet transform provides a very effective framework for analysis of
multiscale edges. In this paper, we propose a novel approach based on the shearlet …
multiscale edges. In this paper, we propose a novel approach based on the shearlet …
A traveling-wave-based protection technique using wavelet/PCA analysis
This paper proposes a powerful high-speed traveling-wave-based technique for the
protection of power transmission lines. The proposed technique uses principal component …
protection of power transmission lines. The proposed technique uses principal component …
Quantum machine learning in finance: Time series forecasting
D Emmanoulopoulos, S Dimoska - arxiv preprint arxiv:2202.00599, 2022 - arxiv.org
We explore the efficacy of the novel use of parametrised quantum circuits (PQCs) as
quantum neural networks (QNNs) for forecasting time series signals with simulated quantum …
quantum neural networks (QNNs) for forecasting time series signals with simulated quantum …
On the analytic wavelet transform
An exact and general expression for the analytic wavelet transform of a real-valued signal is
constructed, resolving the time-dependent effects of nonnegligible amplitude and frequency …
constructed, resolving the time-dependent effects of nonnegligible amplitude and frequency …
Fault detection and classification in EHV transmission line based on wavelet singular entropy
Z He, L Fu, S Lin, Z Bo - IEEE transactions on Power Delivery, 2010 - ieeexplore.ieee.org
A novel technique for fault detection and classification in the extremely high-voltage
transmission line using the fault transients is proposed in this paper. The novel technique …
transmission line using the fault transients is proposed in this paper. The novel technique …
Prediction of total volatile basic nitrogen contents using wavelet features from visible/near-infrared hyperspectral images of prawn (Metapenaeus ensis)
A visible/near-infrared hyperspectral imaging (HSI) system (400–1000 nm) coupled with
wavelet analysis was used to determine the total volatile basic nitrogen (TVB-N) contents of …
wavelet analysis was used to determine the total volatile basic nitrogen (TVB-N) contents of …
Crack detection from the slope of the mode shape using complex continuous wavelet transform
A new method for cracks detection in beams is proposed by using the slope of the mode
shape to detect cracks, and by introducing the angle coefficients of complex continuous …
shape to detect cracks, and by introducing the angle coefficients of complex continuous …