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Published in 2019 at "Circuits, Systems, and Signal Processing"
DOI: 10.1007/s00034-018-0885-6
Abstract: A computational and hardware-efficient second-order infinite impulse response filter structure is proposed in this paper. It can compute discrete cosine transform (DCT) with improved processing speed and is valid for Nā=ā2r, where N is the…
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Keywords:
algorithm;
second order;
structure;
discrete cosine ... See more keywords
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Published in 2020 at "Soft Computing"
DOI: 10.1007/s00500-020-04804-z
Abstract: The significance of the electroencephalography (EEG) signal is used to read the brain activity in the form of electrical patterns. EEG signals help to diagnose anomalies in the brain at the time of head injuries,…
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Keywords:
compression;
eeg signal;
huffman quantization;
discrete cosine ... See more keywords
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Published in 2021 at "Positivity"
DOI: 10.1007/s11117-021-00823-8
Abstract: In this paper, we give some sufficient and necessary conditions for discrete cosine operator functions on solid Banach function spaces to be chaotic or topologically transitive.
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Keywords:
functions solid;
solid banach;
banach function;
function spaces ... See more keywords
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Published in 2021 at "Archives of oral biology"
DOI: 10.1016/j.archoralbio.2021.105249
Abstract: OBJECTIVE The aim of the study was to use discrete cosine transforms to graph soft tissue curves in lateral cephalometric radiographs and, with the obtained mathematical values, to group these curves by both traditional biotypes…
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Keywords:
cosine transforms;
classification;
discrete cosine;
lateral radiographs ... See more keywords
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Published in 2020 at "Optics Communications"
DOI: 10.1016/j.optcom.2019.124512
Abstract: Abstract Single-pixel imaging technology has significant imaging advantages in the invisible wavelength and low light environment. Considering the energy compressive characteristic of discrete cosine spectrum, a single-pixel microscopic compressive imaging method based on the two-dimensional…
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Keywords:
pixel microscopic;
single pixel;
discrete cosine;
cosine ... See more keywords
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Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3097881
Abstract: A new algorithm for biometric templates using a 6D-chaotic system, and 2D fractional discrete cosine transform (FrDCT) is proposed in this paper. In this technique, the $k$ biometric templates are represented into three groups. After…
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Keywords:
system;
biometric templates;
fractional discrete;
chaotic system ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3182719
Abstract: In recent years, the use of artificial neural network applications to perform object classification and event prediction has increased, mainly from research about deep learning techniques running on hardware such as GPU and FPGA. The…
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Keywords:
neural network;
methodology;
spiking neural;
cosine transform ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3206620
Abstract: 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 efficiently removed the…
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Keywords:
noise;
denoising autoencoder;
electrocardiography;
transform ... See more keywords
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Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3632196
Abstract: The Discrete Cosine Transform (DCT) is an integral part of classical image compression, which becomes the basis of the JPEG standard. With advances in quantum computing, there is growing interest in exploring quantum analogues of…
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Keywords:
image;
simulation;
compression;
quantum ... See more keywords
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Published in 2024 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2024.3450429
Abstract: The coherent nature of imaging in synthetic aperture radar (SAR) inevitably gives rise to speckle noise, a challenge exacerbated by the constrained bandwidth and limited look angles. Among the despeckling algorithms, convolutional neural networks (CNNs)…
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Keywords:
loss;
image;
sar image;
discrete cosine ... See more keywords
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Published in 2025 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2025.3605271
Abstract: Deep learning-based approaches to hyperspectral image analysis have attracted large attention and exhibited high performance in image classification tasks. However, deployment of deep learning-based hyperspectral image analysis systems is challenging due to the computational complexity…
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Keywords:
image classification;
classification;
hyperspectral image;
image ... See more keywords