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FDMNet: frequency-domain modulation network for robust object detection in hazy aerial imagery. [PDF]
Sci RepZhou X +4 more
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Improving EEG classification of alcoholic and control subjects using DWT-CNN-BiGRU with various noise filtering techniques. [PDF]
Front NeuroinformPatel N, Verma J, Jain S.
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The fractional discrete cosine transform
IEEE Transactions on Signal Processing, 2002 The 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
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IEEE Transactions on Computers, 1974
A discrete cosine transform (DCT) is defined and an algorithm to compute it using the fast Fourier transform is developed. It is shown that the discrete cosine transform can be used in the area of digital processing for the purposes of pattern recognition and Wiener filtering.
Nasir Ahmed 0001 +2 more
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A discrete cosine transform (DCT) is defined and an algorithm to compute it using the fast Fourier transform is developed. It is shown that the discrete cosine transform can be used in the area of digital processing for the purposes of pattern recognition and Wiener filtering.
Nasir Ahmed 0001 +2 more
exaly +3 more sources
On the Computation of the Discrete Cosine Transform
IRE Transactions on Communications Systems, 1978An N -point discrete Fourier transform (DFT) algorithm can be used to evaluate a discrete cosine transform by a simple rearrangement of the input data. This method is about two times faster compared to the conventional method which uses a 2N -point DFT.
M Narasimha
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On asymmetrical performance of discrete cosine transform
IEEE Transactions on Acoustics, Speech, and Signal Processing, 1990 The discrete cosine transform (DCT) is considered as a suboptimum transform for many practical source-coding applications. Autoregressive order 1 (AR(1)) source models are good first approximations to several natural signals. It is known that the performance of the DCT depends on the sign of the autocorrelation coefficient of the AR(1) source.
Ali N. Akansu, Richard A. Haddad
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Image encryption scheme based on discrete cosine Stockwell transform and DNA-level modulus diffusion
Optics and Laser Technology, 2022Nanrun Zhou
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Discrete cosine transform for filter pruning
Applied Intelligence, 2022Yaosen Chen +6 more
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