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The fractional discrete cosine transform
IEEE Transactions on Signal Processing, 2002The extension of the Fourier transform operator to a fractional power has received much attention in signal theory and is finding attractive applications. The paper introduces and develops the fractional discrete cosine transform (DCT) on the same lines, discussing multiplicity and computational aspects. Similarities and differences with respect to the
CARIOLARO, GIANFRANCO +2 more
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Mixed-radix discrete cosine transform
IEEE Transactions on Signal Processing, 1993Presents two new fast discrete cosine transform computation algorithms: a radix-3 and a radix-6 algorithm. These two new algorithms are superior to the conventional radix-3 algorithm as they (i) require less computational complexity in terms of the number of multiplications per point, (ii) provide a wider choice of the sequence length for which the DCT
Chan, YH, Siu, WC
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Fast radix-p discrete cosine transform
Applicable Algebra in Engineering, Communication and Computing, 1992A fast algorithm of the discrete cosine transform (DCT) of radix-\(p\) and its inverse are presented. Their architecture comprises the divide-and- conquer operations and the arithmetic with Chebyshev polynomials. This algorithm is efficient in DCTs of arbitrary transform length and applicable for discrete Vandermonde transforms.
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Journal of Electronic Imaging, 2006
With the wide use of digital multimedia equipment, exchange of image data has become prevalent. Images and video data are exchanged through personal computers, mobile phones, and personal digital assistants (PDAs). Since the resolutions of each image display are different, it is necessary to change the image size accordingly.
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With the wide use of digital multimedia equipment, exchange of image data has become prevalent. Images and video data are exchanged through personal computers, mobile phones, and personal digital assistants (PDAs). Since the resolutions of each image display are different, it is necessary to change the image size accordingly.
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Hopping discrete cosine transform
Applications of Digital Image Processing XLVI, 2023Vitaly Kober +2 more
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Advances in Sine Cosine Algorithm: A comprehensive survey
Artificial Intelligence Review, 2021Laith Mohammad Abualigah, Ali H Diabat
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