As a significant role in industrial equipment, rotating machinery fault diagnosis (RMFD)
always draws lots of attention for guaranteeing product quality and improving economic …

In order to enhance the desired features related to some special type of machine fault, a
technique based on the dual-tree complex wavelet transform (DTCWT) is proposed in this …

Identifying fault categories, especially for compound faults, is a challenging task in
mechanical fault diagnosis. For this task, this paper proposes a novel intelligent method …

The goal of this paper is to correct bleed-through in degraded documents using a variational
approach. The variational model is adapted using an estimated background according to the …

A viscoelastic sandwich structure is widely used in mechanical equipment, but therein
viscoelastic layers inevitably suffer from aging which changes the dynamic characteristics of …

The discrete wavelet transform module is a recent addition to the Large Time-Frequency
Analysis Toolbox (LTFAT). It provides implementations of various generalizations of Mallat's …

The dual-tree complex wavelet transform offers near shift invariance and a better directional
selectivity compared to traditional discrete wavelet transforms. A new class of Hilbert-pair of …

Medical imaging became the integral part in health care where all the critical diagnosis such
as blocks in the veins, plaques in the carotid arteries, minute fractures in the bones, blood …

A Hilbert-Pair consists of a pair of filter banks whose corresponding wavelets are Hilbert
transforms of each other. Selesnick proposed the simple common-factor technique for its …

It is understood that the Hilbert transform pairs of orthonormal wavelet bases can only be
realized approximately by the scaling filters of conjugate quadrature filter (CQF) banks. In …