Substructure recovery by 3D Discrete Wavelet Transforms [PDF]
, 1999 We present and discuss a method to identify substructures in combined angular-redshift samples of galaxies within Clusters. The method relies on the use of Discrete Wavelet Transform (hereafter DWT) and has already been applied to the analysis of the ...
A. Pagliaro +4 more
core +3 more sources
Homogeneous Besov spaces on stratified Lie groups and their wavelet characterization [PDF]
, 2012 We establish wavelet characterizations of homogeneous Besov spaces on stratified Lie groups, both in terms of continuous and discrete wavelet systems.
Führ, Hartmut, Mayeli, Azita
core +3 more sources
Optimal decomposition level of discrete, stationary and dual tree complex wavelet transform for pixel based fusion of multi-focused images [PDF]
Serbian Journal of Electrical Engineering, 2010 The fast development of digital image processing leads to the growth of feature extraction of images which leads to the development of Image fusion. The process of combining two different images into a new single image by retaining salient features from ...
Kannan Kanagaraj +2 more
doaj +1 more source
Multiple Crack Detection using Wavelet Transforms and Energy Signal Techniques
Fracture and Structural Integrity, 2020 Wavelet transforms are efficient tools for structural health monitoring (SHM) and damage detection. However, these methods are encountered with some limitations in practice.
Jalal Akbari +2 more
doaj +3 more sources
Characterizations of Continuous Fractional Bessel Wavelet Transforms
Mathematics, 2022 In this paper, we present a systematic study of the various characteristics and properties of some continuous and discrete fractional Bessel wavelet transforms. The method is based upon the theory of the fractional Hankel transform.
Hari M. Srivastava +2 more
doaj +1 more source
Condition Monitoring of Induction Machines: Quantitative Analysis and Comparison
Sensors, 2023 In this paper, a diagnostic procedure for rotor bar faults in induction motors is presented, based on the Hilbert and discrete wavelet transforms. The method is compared with other procedures with the same data, which are based on time–frequency analysis,
Michele Sintoni +3 more
doaj +1 more source
Data-Adaptive Wavelets and Multi-Scale Singular Spectrum Analysis [PDF]
, 1998 Using multi-scale ideas from wavelet analysis, we extend singular-spectrum analysis (SSA) to the study of nonstationary time series of length $N$ whose intermittency can give rise to the divergence of their variance. SSA relies on the construction of the
Allen +65 more
core +3 more sources
Rigorous free fermion entanglement renormalization from wavelet theory [PDF]
, 2017 We construct entanglement renormalization schemes which provably approximate the ground states of non-interacting fermion nearest-neighbor hopping Hamiltonians on the one-dimensional discrete line and the two-dimensional square lattice.
Cotler, Jordan +5 more
core +5 more sources
Exploring discrete wavelet transforms for bimodal speech recognition [PDF]
Serbian Journal of Electrical EngineeringDiscrete Wavelet Transforms (DWTs) provide time–frequency representations that are well suited for nonstationary signals such as speech. This study presents a comparison of four wavelet families (Daubechies, Symlets, Coiflets, and Biorthogonal) for ...
Marković Branko +2 more
doaj +1 more source
Multi-view image coding with wavelet lifting and in-band disparity compensation [PDF]
, 2005 This paper presents a novel framework to achieve scalable multi-view image coding. As open loop operation, the wavelet lifting scheme for geometric filtering has been exploited to overcome the limitation of SNR scalability and to attain view scalability.
Anantrasirichai, N +2 more
core +2 more sources