The Stockwell transform (ST), which is an invertible time-frequency spectral localization
technique, uniquely combines elements of wavelet transform and short-time Fourier …

We develop a rational-dilation wavelet transform for which the dilation factor, the Q-factor
and the redundancy can be easily specified. The introduced transform contains Hilbert …

Stacks of ambient noise correlations are routinely used to extract empirical Green's functions
(EGFs) between station pairs. The time–frequency phase-weighted stack (tf-PWS) is a …

This book is a result of more than twenty years of research and education in the area of time-
frequency signal analysis and signal theory, in general. The book presents time-frequency …

In this paper, a robust fringe projection profilometry (FPP) algorithm using the sparse
dictionary learning and sparse coding techniques is proposed. When reconstructing the 3D …

In the field of optics and signal processing, the novel quadratic-phase Fourier transform
(QPFT) has emerged as a powerful tool. However, it has a drawback as it fails in locating the …

In this paper, MMSE estimator is employed for noise‐free 3D OCT data recovery in 3D
complex wavelet domain. Since the proposed distribution for noise‐free data plays a key …

Monitoring acoustic emission from mechanical systems is an effective non-invasive way of
diagnosing both system performance as well as short-term/long-term system failures. A …

This paper presents a novel content based image retrieval (CBIR) system based on
Framelet Transform combined with gray level co-occurrence matrix (GLCM). The proposed …

Biomass has been agreed to be the most sustainable and abundant renewable source
which can be used as a replacement for crude oil-based products. Biomass as value-added …