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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
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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
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In-Band Disparity Compensation for Multiview Image Compression and View Synthesis [PDF]
, 2010 This paper presents a novel framework to achieve scalable multiview image compression and view synthesis. The open-loop wavelet-lifting scheme for geometric filtering has been exploited to achieve signal-to-noise ratio scalability and view-type ...
Anantrasirichai, N +3 more
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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
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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
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Fractional Wavelet Transform Using an Unbalanced Lifting Structure [PDF]
, 2011 In this article, we introduce the concept of fractional wavelet transform. Using a two-channel unbalanced lifting structure it is possible to decompose a given discrete-time signal x[n] sampled with period T into two sub-signals x1[n] and x2[n] whose ...
Y. H. Habiboğlu +6 more
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Axioms, 2022 Most time series from real-world processes are stained with noise. Therefore, much attention should be paid to data noise removal techniques. In this study, we use the family of biorthogonal wavelet, high-pass, and low-pass filters, to investigate the ...
Mahboubeh Molavi-Arabshahi +4 more
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Medical Image Retrieval Using Transforms [PDF]
Applied Medical Informatics, 2013 The purpose of this study is to access the stability of transformation methods for medical image analysis. The reason for image retrieval is due to the increase in acquisition of images.
Mannivannan VASUKI +1 more
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Comparison of Image Compressions: Analog Transformations
Proceedings, 2020 A comparison between the four most used transforms, the discrete Fourier transform (DFT), discrete cosine transform (DCT), the Walsh–Hadamard transform (WHT) and the Haar-wavelet transform (DWT), for the transmission of analog images, varying their ...
Jose Balsa
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Non-parametric linear time-invariant system identification by discrete wavelet transforms
, 2006 We describe the use of the discrete wavelet transform (DWT) for non-parametric linear time-invariant system identification. Identification is achieved by using a test excitation to the system under test (SUT) that also acts as the analyzing function for ...
Luk, RWP +3 more
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