Results 31 to 40 of about 10,977 (213)

Detection of electrocardiogram atrial fibrillation using modified multifractal detrended fluctuation analysis based on discrete transforms and fractional Fourier transform

open access: yesDiscover Applied Sciences
Cardiovascular diseases (CVD) are the most common cause of death. Electrocardiography (ECG) is a preferred non-invasive method for detecting heart diseases. Atrial fibrillation (AF) is a common cardiac disease.
Mohamed Moustafa Azmy
doaj   +1 more source

Cyclic Wiener Filtering Algorithm in Discrete Cosine Transform Domain for Vibration Signal

open access: yesMATEC Web of Conferences, 2016
In order to solve the problem that the effect of using cyclic Wiener filter directly to remove the noise on the non-stationary vibration signal is poor, the paper applies discrete cosine transform to the cyclic Wiener filter, proposing the cyclic Wiener ...
Zhang Feng   +3 more
doaj   +1 more source

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   +1 more source

Effect of DCT Image Compression on Eye Gaze Direction Detection

open access: yesITM Web of Conferences, 2018
The prediction of eye direction detection is the one of the popular research topic in human computer interaction area. This paper defines eye gaze detection by using Discrete Cosine Transform.
Dimililer Kamil   +5 more
doaj   +1 more source

Asymmetric color image encryption and compression based on discrete cosine transform in Fresnel domain

open access: yesResults in Optics, 2020
In this paper, a new asymmetric method is presented to encrypt and compress color images using discrete cosine transform in Fresnel domain. First, the input color image is decomposed into three channels: red, green and blue.
Eakta Kumari   +3 more
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.
Seifert, Bastian, Hüper, Knut
openaire   +2 more sources

Hybrid Algorithm Based on Hyper Spectral Noise Removal for Satellite Image

open access: yesEAI Endorsed Transactions on Energy Web, 2020
Usually the image obtained from a sensor is blurred by noise. Such noises are identified and eliminated by the procedure called denoising. The cross breed (Hybrid) algorithm is a popular technique that has been utilized recently.
N. Hema Rajini
doaj   +1 more source

Image Hiding Using Discrete Cosine Transform

open access: yesمجلة كلية التربية للبنات, 2019
Steganography is a mean of hiding information within a more obvious form of communication. It exploits the use of host data to hide a piece of information in such a way that it is imperceptible to human observer.
ايمان محمد جعفر فرح جاسم محمد
doaj  

Evaluating The Performance of DWT-DCT Feature Extraction in Guitar Chord Recognition

open access: yesInternational Journal of Applied Sciences and Smart Technologies
This study presents advancements in audio signal processing techniques, specifically in enhancing the efficiency of guitar chord recognition. It is a continuation of the previous studies, which also aim at minimizing the feature extraction length with ...
Linggo Sumarno
doaj   +1 more source

Comparison of discrete transforms for deep‐neural‐networks‐based speech enhancement

open access: yesIET Signal Processing, 2022
In recent studies of speech enhancement, a deep‐learning model is trained to predict clean speech spectra from the known noisy spectra of speech. Rather than using the traditional discrete Fourier transform (DFT), this paper considers other well‐known ...
Wissam A. Jassim, Naomi Harte
doaj   +1 more source

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