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Pearson Correlation and Discrete Wavelet Transform for Crack Identification in Steel Beams
Mathematics, 2022 Discrete wavelet transform is a useful means for crack identification of beam structures. However, its accuracy is severely dependent on the selecting mother wavelet and vanishing moments, which raises a significant challenge in practical structural ...
Morteza Saadatmorad +4 more
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Perception of power quality disturbances using Fourier, Short-Time Fourier, continuous and discrete wavelet transforms. [PDF]
Sci RepElectric power utilities must ensure a consistent and undisturbed supply of power, with the voltage levels adhering to specified ranges. Any deviation from these supply specifications can lead to malfunctions in equipment.
Priyadarshini MS +3 more
europepmc +2 more sources
Discrete Wavelet Transforms [PDF]
, 2017 In general, discrete wavelet transforms are generated by samplings (in the time-scale plane) of a rorn sponding continuous wavelet transform.
A. Teolis
semanticscholar +3 more sources
Discrete Wavelet Transforms [PDF]
, 2018 Fourier transform has been extensively used in signal processing to analyze stationary signals. A serious drawback of the Fourier transform is that it cannot reflect the time evolution of the frequency.
K. D. Rao, M. Swamy
semanticscholar +2 more sources
Discrete Wavelet Transforms [PDF]
, 2014 As we have seen in Section 12.5, the discretization of the CWT leads, among other things, to the theory of frames. For many practical purposes of signal processing, a tight frame is almost as good as an orthonormal basis. Actually, if one stays with the standard wavelets, as we have done so far, one cannot do better, since these wavelets do not ...
Syed Twareque Ali, J. Antoine, J. Gazeau
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Accelerating Discrete Wavelet Transforms on GPUs [PDF]
2017 IEEE International Conference on Image Processing (ICIP), 2017 The two-dimensional discrete wavelet transform has a huge number of applications in image-processing techniques. Until now, several papers compared the performance of such transform on graphics processing units (GPUs).
Barina, David +3 more
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Human Face Recognition Using Wavelet Network [PDF]
Al-Khawarizmi Engineering Journal, 2005 This paper presents a study of wavelet self-organizing maps (WSOM) for face recognition. The WSOM is a feed forward network that estimates optimized wavelet based for the discrete wavelet transform (DWT) on the basis of the distribution of the input data,
Tarik Zeyad
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The Improvement of the Discrete Wavelet Transform
Mathematics, 2023 Discrete wavelet transforms are widely used in signal processing, data compression and spectral analysis. For discrete data with finite sizes, one always pads the data with zeros or extends the data into periodic data before performing the discrete ...
Zhihua Zhang
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Learning Temporal-Ordered Representation for Spike Streams Based on Discrete Wavelet Transforms
AAAI Conference on Artificial Intelligence, 2023 Spike camera, a new type of neuromorphic visual sensor that imitates the sampling mechanism of the primate fovea, can capture photons and output 40000 Hz binary spike streams.
Jiyuan Zhang +3 more
semanticscholar +1 more source