Results 11 to 20 of about 27,924 (308)
Discrete Lattice Wavelet Transform
IEEE Transactions on Circuits and Systems II: Express Briefs, 2007 The discrete wavelet transform (DWT) has gained a wide acceptance in denoising and compression coding of images and signals. In this work we introduce a discrete lattice wavelet transform (DLWT). In the analysis part, the lattice structure contains two parallel transmission channels, which exchange information via two crossed lattice filters.
Olkkonen, H., Olkkonen, Juuso
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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.
Ramazan Gençay +2 more
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The Discrete Wavelet Transform
, 2021 In this thesis we will explore the theory behind wavelets. The main focus is on the discrete wavelet transform, although to reach this goal we will also introduce the discrete Fourier transform as it allow us to derive important properties related to wavelet theory, such as the multiresolution analysis. Based on the multiresolution it will be shown how
Anton, Wirén
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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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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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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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Multi-focus Image Fusion Based on Non-subsampled Discrete Wavelet Transform
Journal of Harbin University of Science and Technology, 2018 Image fusion is widely used in military，medical and other fields. Image fusion technology is to use a specific algorithm to synthesize two or more images into a new image.
GUO Ling-xin, YUAN Li-ying, WANG Fei-yue
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Wavelet p-analogs of the discrete Haar transform [PDF]
Известия Саратовского университета. Новая 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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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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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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