Results 1 to 10 of about 127,842 (198)

Discrete Cosine Transform for the Analysis of Essential Tremor [PDF]

open access: yesFrontiers in Physiology, 2019
Essential tremor (ET) is the most common movement disorder. In fact, its prevalence is about 20 times higher than that of Parkinson's disease. In addition, studies have shown that a high percentage of cases, between 50 and 70%, are estimated to be of ...
Jordi Solé-Casals   +11 more
doaj   +3 more sources

A New Pseudo-Spectral Method Using the Discrete Cosine Transform [PDF]

open access: yesJournal of Imaging, 2020
The pseudo-spectral (PS) method on the basis of the Fourier transform is a numerical method for estimating derivatives. Generally, the discrete Fourier transform (DFT) is used when implementing the PS method. However, when the values on both sides of the
Izumi Ito
doaj   +2 more sources

Steerable Discrete Cosine Transform [PDF]

open access: yesIEEE Transactions on Image Processing, 2017
In image compression, classical block-based separable transforms tend to be inefficient when image blocks contain arbitrarily shaped discontinuities. For this reason, transforms incorporating directional information are an appealing alternative. In this paper, we propose a new approach to this problem, namely a discrete cosine transform (DCT) that can ...
FRACASTORO, GIULIA   +2 more
semanticscholar   +7 more sources

The Discrete Cosine Transform [PDF]

open access: yesSIAM 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.
Gilbert Strang
exaly   +3 more sources

A Hybrid robust watermarking system based on discrete cosine transform, discrete wavelet transform, and singular value decomposition

open access: yesJournal of King Saud University: Computer and Information Sciences, 2022
Digital data sharing is increased day by day due to the rapid access of the Internet by mass people. Multimedia, for example text, image, video, and audio can be easily accessed by unauthorized users.
Mahbuba Begum   +2 more
doaj   +2 more sources

On discrete cosine transform

open access: yesNigerian Journal of Technological Research, 2013
The discrete cosine transform (DCT), introduced by Ahmed, Natarajan and Rao, has been used in many applications of digital signal processing, data compression and information hiding. There are four types of the discrete cosine transform. In simulating the discrete cosine transform, we propose a generalized discrete cosine transform with three ...
Jianqin Zhou
openaire   +4 more sources

Compressed Wideband Spectrum Sensing Based on Discrete Cosine Transform [PDF]

open access: yesThe Scientific World Journal, 2014
Discrete cosine transform (DCT) is a special type of transform which is widely used for compression of speech and image. However, its use for spectrum sensing has not yet received widespread attention.
Yulin Wang, Gengxin Zhang
doaj   +2 more sources

Automated breast image classification using features from its discrete cosine transform. [PDF]

open access: yesPLoS ONE, 2014
PURPOSE: This work aimed to improve breast screening program accuracy using automated classification. The goal was to determine if whole image features represented in the discrete cosine transform would provide a basis for classification.
Edward J Kendall, Matthew T Flynn
doaj   +2 more sources

Text-image watermarking based on integer wavelet transform (IWT) and discrete cosine transform (DCT)

open access: yesApplied Computing and Informatics, 2019
Text-images still have a great importance, despite the spread of electronic texts. Text-images are protected using digital watermarking. This paper proposes a watermarking method applied to text-images.
Reem A. Alotaibi, Lamiaa A. Elrefaei
doaj   +2 more sources

Discrete Cosine Transform Network for Guided Depth Map Super-Resolution [PDF]

open access: yesComputer Vision and Pattern Recognition, 2021
Guided depth super-resolution (GDSR) is an essential topic in multi-modal image processing, which reconstructs high-resolution (HR) depth maps from low-resolution ones collected with suboptimal conditions with the help of HR RGB images of the same scene.
Zixiang Zhao   +4 more
semanticscholar   +1 more source

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