Characterization of analytic wavelet transforms and a new phaseless reconstruction algorithm

N Holighaus, G Koliander, Z Průša… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
We obtain a characterization of all wavelets leading to analytic wavelet transforms (WT). The
characterization is obtained as a byproduct of the theoretical foundations of a new method …

Sparrow search mechanism-based effective feature mining algorithm for the broken wire signal detection of prestressed concrete cylinder pipe

G Yang, B Luan, J Sun, J Niu, H Lin, L Wang - Mechanical Systems and …, 2024 - Elsevier
To enhance the capability of distributed optical fiber (DOF) monitoring system on real-time
broken wire signal detection of prestressed concrete cylinder pipe (PCCP), this research …

Using wavelet analysis to characterize the transition from bubbling to turbulent fluidization

S Gao, Z Sun, J Zhu, Y Fan, C Lu - Powder Technology, 2022 - Elsevier
Turbulent fluidized bed (TFB) regime has demonstrated many advantages such as a
combination of enhanced gas-solids contact and increased gas throughput, making it an …

Frame theory for signal processing in psychoacoustics

P Balazs, N Holighaus, T Necciari, D Stoeva - Excursions in Harmonic …, 2017 - Springer
This review chapter aims to strengthen the link between frame theory and signal processing
tasks in psychoacoustics. On the one side, the basic concepts of frame theory are presented …

[HTML][HTML] Audlet filter banks: A versatile analysis/synthesis framework using auditory frequency scales

T Necciari, N Holighaus, P Balazs, Z Průša, P Majdak… - Applied Sciences, 2018 - mdpi.com
Featured Application The proposed framework is highly suitable for audio applications that
require analysis–synthesis systems with the following properties: stability, perfect …

Discrete Wavelet Transform in digital audio signal processing: A case study of programming languages performance analysis

JPL Escola, UB de Souza, L da Cunha Brito - Computers and Electrical …, 2022 - Elsevier
The time spent processing the test set is a crucial factor in research projects involving audio
signal transforms. The present work analyzes the performance of a set of programming …

Directional presplit blasting in an innovative no-pillar mining approach

J Hu, X Zhang, Y Gao, Z Ma, X Xu… - Journal of Geophysics …, 2019 - academic.oup.com
Directional presplit blasting (DPB) technology for an innovative no-pillar mining approach is
introduced. First, a mechanical model is established to analyze crack initiation and …

A Survey of Fusion Frames in Hilbert Spaces

L Köhldorfer, P Balazs, P Casazza, S Heineken… - … Analysis in the Spirit of J …, 2024 - Springer
Fusion frames are a very active area of research today because of their myriad of
applications in pure mathematics, applied mathematics, engineering, medicine, signal and …

[HTML][HTML] Acoustic–seismic mixed feature extraction based on wavelet transform for vehicle classification in wireless sensor networks

H Zhang, Z Pan, W Zhang - Sensors, 2018 - mdpi.com
An acoustic–seismic mixed feature extraction method based on the wavelet coefficient
energy ratio (WCER) of the target signal is proposed in this study for classifying vehicle …

[HTML][HTML] Estimation of the Resultant Expanded Uncertainty of the Output Quantities of the Measurement Chain Using the Discrete Wavelet Transform Algorithm

M Kampik, J Roj, Ł Dróżdż - Applied Sciences, 2024 - mdpi.com
Featured Application Estimation of expanded uncertainty in case of measurement chains
containing wavelet transform algorithms without using Monte-Carlo simulations. Abstract …