Results 21 to 30 of about 289,031 (382)
Wavelet p-analogs of the discrete Haar transform [PDF]
Известия Саратовского университета. Новая серия. Серия Математика. Механика. Информатика, 2021 Two $p$-analogs (for $p>2$) of the discrete version of the Haar system in vector symbolism are proposed and fast algorithms are constructed based on them.
Bespalov, Mikhail S.
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Int. J. Distributed Sens. Networks, 2020 Wavelet family and differential evolution are proposed for categorization of epilepsy cases based on electroencephalogram (EEG) signals. Discrete wavelet transform is widely used in feature extraction step because it efficiently works in this field, as ...
Ahmad Al-qerem +4 more
semanticscholar +1 more source
IEEE Access, 2023 Traditionally, the success of the Transformer has been attributed to its token mixer, particularly the self-attention mechanism. However, recent studies suggest that replacing such attention-based token mixer with alternative techniques can yield ...
Dongwook Yang, Seung-Woo Seo
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Analysis of the Quantization Noise in Discrete Wavelet Transform Filters for 3D Medical Imaging
Applied Sciences, 2020 Denoising and compression of 2D and 3D images are important problems in modern medical imaging systems. Discrete wavelet transform (DWT) is used to solve them in practice.
N. Chervyakov +2 more
semanticscholar +1 more source
Jurnal Riset Informatika, 2019 Research on stock prices is still interesting for researchers. As in this study, ANTM's stock price closing data is used as a data set that is processed to be then predicted in the future. The Neural Network method is a method that is very widely used by
Indah Suryani
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Comments on "phase-shifting for nonseparable 2-D haar wavelets" [PDF]
, 2009 In their recent paper, Alnasser and Foroosh derive a wavelet-domain (in-band) method for phase-shifting of 2-D "nonseparable" Haar transform coefficients. Their approach is parametrical to the (a priori known) image translation.
Andreopoulos, Y
core +1 more source
, 2001 This review paper is intended to give a useful guide for those who want to apply discrete wavelets in their practice. The notion of wavelets and their use in practical computing and various applications are briefly described, but rigorous proofs of ...
Dremin, I. M. +2 more
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A recursive scheme for computing autocorrelation functions of decimated complex wavelet subbands [PDF]
, 2010 This paper deals with the problem of the exact computation of the autocorrelation function of a real or complex discrete wavelet subband of a signal, when the autocorrelation function (or Power Spectral Density, PSD) of the signal in the time domain (or ...
Aelterman, Jan +3 more
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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
openaire +3 more sources
Wind Power Short-Term Prediction Based on LSTM and Discrete Wavelet Transform
Applied Sciences, 2019 A wind power short-term forecasting method based on discrete wavelet transform and long short-term memory networks (DWT_LSTM) is proposed. The LSTM network is designed to effectively exhibit the dynamic behavior of the wind power time series.
Yao Liu +6 more
semanticscholar +1 more source