Results 1 to 10 of about 4,895 (259)
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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Discrete wavelet transforms for Toeplitz matrices
Linear Algebra and Its Applications, 2003 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Michael Ng, Wai-Ki Ching, Fu-Rong Lin
exaly +5 more sources
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.
Ramazan Gençay +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
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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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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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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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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). However, all of them only dealt with lifting and convolution computation schemes.
David Barina +3 more
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