Results 21 to 30 of about 29,522 (302)
Multiresolution analysis using wavelet, ridgelet, and curvelet transforms for medical image segmentation [PDF]
, 2011 Copyright @ 2011 Shadi AlZubi et al. This article has been made available through the Brunel Open Access Publishing Fund.The experimental study presented in this paper is aimed at the development of an automatic image segmentation system for classifying ...
Alzubi, S +5 more
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The Discrete Cosine Transform [PDF]
SIAM Review, 1999 In this paper the author derives the Discrete Cosine Transform (DCT) bases as eigenvectors of a symmetric second-difference matrix with certain boundary conditions. The type of boundary condition (Dirichlet or Neumann, centered at a meshpoint or a midpoint) determines the applications that are appropriate for each transform.
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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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Discrete analytical Ridgelet transform [PDF]
Signal Processing, 2004 In this paper, we present a new implementation of the Ridgelet transform based on discrete analytical 2-D lines: the discrete analytical Ridgelet transform (DART). This transform uses the Fourier strategy for the computation of the associated discrete Radon transform.
Carré, Philippe, Andres, Eric
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Discrete radon transform [PDF]
IEEE Transactions on Acoustics, Speech, and Signal Processing, 1987 This paper describes the discrete Radon transform (DRT) and the exact inversion algorithm for it. Similar to the discrete Fourier transform (DFT), the DRT is defined for periodic vector-sequences and studied as a transform in its own right. Casting the forward transform as a matrix-vector multiplication, the key observation is that the matrix-although ...
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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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A Fast Mellin and Scale Transform
EURASIP Journal on Advances in Signal Processing, 2007 A fast algorithm for the discrete-scale (and β-Mellin) transform is proposed. It performs a discrete-time discrete-scale approximation of the continuous-time transform, with subquadratic asymptotic complexity.
Davide Rocchesso, Antonio De Sena
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On a Class of Parametric Transforms and Its Application to Image Compression
EURASIP Journal on Advances in Signal Processing, 2007 A class of parametric transforms that are based on unified representation of transform matrices in the form of sparse matrix products is described. Different families of transforms are defined within the introduced class. All transforms of one family can
David Guevorkian +2 more
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Discrete orthogonal transforms with bases generated by self-similar sequences [PDF]
Компьютерная оптика, 2018 New bases of discrete orthogonal transforms associated with some recursive processes and possessing a property of self-similarity are introduced and investigated in the paper.
Vladimir Chernov
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IEEE Access, 2023 In image watermarking, the locations where the watermark is embedded in the frequency domain and the embedding strength influence the overall performance of the blind watermarking procedure.
Chaimae Chekira +5 more
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