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 …

Denoising method of ground-penetrating radar signal based on independent component analysis with multifractal spectrum

R Li, H Zhang, Z Chen, N Yu, W Kong, T Li, E Wang… - Measurement, 2022 - Elsevier
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 …

Higher-order properties of analytic wavelets

JM Lilly, SC Olhede - IEEE Transactions on signal processing, 2008 - ieeexplore.ieee.org
The influence of higher-order wavelet properties on the analytic wavelet transform behavior
is investigated, and wavelet functions offering advantageous performance are identified …

A shearlet approach to edge analysis and detection

S Yi, D Labate, GR Easley… - IEEE Transactions on …, 2009 - ieeexplore.ieee.org
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 …

A traveling-wave-based protection technique using wavelet/PCA analysis

P Jafarian, M Sanaye-Pasand - IEEE Transactions on Power …, 2010 - ieeexplore.ieee.org
This paper proposes a powerful high-speed traveling-wave-based technique for the
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 …

On the analytic wavelet transform

JM Lilly, SC Olhede - IEEE transactions on information theory, 2010 - ieeexplore.ieee.org
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 …

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 …

Prediction of total volatile basic nitrogen contents using wavelet features from visible/near-infrared hyperspectral images of prawn (Metapenaeus ensis)

Q Dai, JH Cheng, DW Sun, Z Zhu, H Pu - Food chemistry, 2016 - Elsevier
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 …

Crack detection from the slope of the mode shape using complex continuous wavelet transform

X Jiang, ZJ Ma, WX Ren - Computer‐Aided Civil and …, 2012 - Wiley Online Library
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 …