Results 11 to 20 of about 1,435,821 (287)

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   +4 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   +4 more sources

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   +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
core   +10 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

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 ...
Zhou, Jianqin
openaire   +5 more sources

Lightweight Denoising Autoencoder Design for Noise Removal in Electrocardiography

open access: yesIEEE Access, 2022
This study proposes two denoising autoencoder models with discrete cosine transform and discrete wavelet transform, to remove electrode motion artifacts in noisy electrocardiography. Initially, the discrete cosine transform and discrete wavelet transform
Ming-Hwa Sheu   +5 more
doaj   +1 more source

Recognition of Ultrasound Images of Breast Cancer Based on Discrete Sinc Transform and Deep Learning [PDF]

open access: yesEgyptian Journal of Cancer and Biomedical Research, 2022
Background: : The most common cause of cancer-related death among women all over the world is breast cancer. Altough ultrasound emaging I useful in diagnosis of the patients, itsaccuracy needs more improvement.
Mohamed Azmy
doaj   +1 more source

The Discrete Cosine Transform on Triangles [PDF]

open access: yesICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019
The discrete cosine transform is a valuable tool in analysis of data on undirected rectangular grids, like images. In this paper it is shown how one can define an analogue of the discrete cosine transform on triangles. This is done by combining algebraic signal processing theory with a specific kind of multivariate Chebyshev polynomials.
Bastian Seifert, Knut Hüper
openaire   +3 more sources

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