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Discrete wavelet transforms for Toeplitz matrices [PDF]
Linear Algebra and Its Applications, 2003 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Michael Ng, Wai-Ki Ching, Fu-Rong Lin
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Eye State Identification Based on Discrete Wavelet Transforms
Applied Sciences, 2021 We present a prototype to identify eye states from electroencephalography signals captured from one or two channels. The hardware is based on the integration of low-cost components, while the signal processing algorithms combine discrete wavelet ...
Francisco Laport +4 more
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Filtering of Audio Signals Using Discrete Wavelet Transforms
Mathematics, 2023 Nonlinear diffusion has been proved to be an indispensable approach for the removal of noise in image processing. In this paper, we employ nonlinear diffusion for the purpose of denoising audio signals in order to have this approach also recognized as a ...
H. K. Nigam, H. M. Srivastava
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WVM-UNet: A Wavelet–Vision Mamba Framework for Enhanced Medical Image Segmentation [PDF]
Journal of ImagingAccurate segmentation of skin lesions and gastrointestinal polyps is essential for early diagnosis and treatment planning. Currently, Convolutional Neural Networks (CNNs) are limited by local receptive fields, missing small lesions.
Yulong Yang +3 more
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Discrete Wavelet Transform [PDF]
, 1998 In general, discrete wavelet transforms are generated by samplings (in the time-scale plane) of a rorn sponding continuous wavelet transform.
Syed Twareque Ali +2 more
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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
doaj +1 more source
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
doaj +1 more source
Sensors, 2021 The paper aims to analyze the performance of the damage identification algorithms using the directional wavelet transforms, which reveal higher sensitivity for various orientations of spatial damage together with lower susceptibility to noise.
Andrzej Katunin
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On the Discrete Harmonic Wavelet Transform [PDF]
Mathematical Problems in Engineering, 2008 The discrete harmonic wavelet transform has been reviewed and applied towards given functions. The absolute error of reconstruction of the functions has been computed.
CATTANI, Carlo, KUDREYKO A.
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Continuous and Discrete Wavelet Transforms [PDF]
SIAM Review, 1989 This paper is an expository survey of results on integral representations and discrete sum expansions of functions in $L^2 ({\bf R})$ in terms of coherent states. Two types of coherent states are considered: Weyl–Heisenberg coherent states, which arise from translations and modulations of a single function, and affine coherent states, called ’wavelets,’
Christopher Heil, David Francis Walnut
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