Zobrazeno 1 - 10
of 749
pro vyhledávání: '"Nuclear norm minimization"'
Publikováno v:
Frontiers in Neuroinformatics, Vol 18 (2024)
In order to improve the energy efficiency of wearable devices, it is necessary to compress and reconstruct the collected electrocardiogram data. The compressed data may be mixed with noise during the transmission process. The denoising-based approxim
Externí odkaz:
https://doaj.org/article/e4313f73ed564934a11f497e954a0d50
Autor:
Yan Wu, Yunzhi Jin
Publikováno v:
Frontiers in Big Data, Vol 7 (2024)
Low-rank tensor completion (LRTC), which aims to complete missing entries from tensors with partially observed terms by utilizing the low-rank structure of tensors, has been widely used in various real-world issues. The core tensor nuclear norm minim
Externí odkaz:
https://doaj.org/article/2d70241321c8414e9b1386ea93b25c63
Publikováno v:
Symmetry, Vol 16, Iss 3, p 303 (2024)
The matrix nuclear norm minimization problem has been extensively researched in recent years due to its widespread applications in control design, signal and image restoration, machine learning, big data problems, and more. One popular model is nucle
Externí odkaz:
https://doaj.org/article/9deb7fec901f488291a3df162a34bc8d
Publikováno v:
Scientific African, Vol 21, Iss , Pp e01832- (2023)
The EEG signals are recorded using surgical (invasive) or non-surgical (non-invasive) BCI neuroimaging modalities. Basically, we are dealing with a huge amount of data and long signal recordings.The classic solution to deal with the huge amount of da
Externí odkaz:
https://doaj.org/article/b703307cf4744c9692d4ea995bf88178
Akademický článek
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Autor:
Ichiro Maruta, Toshiharu Sugie
Publikováno v:
IEEE Access, Vol 10, Pp 21412-21423 (2022)
This paper provides a subspace method for closed-loop identification, which clearly specifies the model order from noisy measurement data. The method can handle long I/O data of the target system to be noise-tolerant and determine the model order via
Externí odkaz:
https://doaj.org/article/12633febfc3846b2a15443971033596e
Akademický článek
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Publikováno v:
Sensors, Vol 23, Iss 11, p 5078 (2023)
Ground-penetrating radar (GPR) is an effective geophysical electromagnetic method for underground target detection. However, the target response is usually overwhelmed by strong clutter, thus damaging the detection performance. To account for the non
Externí odkaz:
https://doaj.org/article/7731e0d6c4214c1c9fb3efb72c5e6cc9
Autor:
Talal Al-Sulaiman, Ali Al-Matouq
Publikováno v:
IEEE Access, Vol 9, Pp 29458-29469 (2021)
A new convex collaborative filtering framework for global market return prediction is presented. The prediction problem is first phrased as a matrix completion problem assuming that the matrix of market returns is low rank. Using historical data, we
Externí odkaz:
https://doaj.org/article/427789f72cf0437da04b238a380628cd