Zobrazeno 1 - 10
of 422
pro vyhledávání: '"gram-schmidt orthogonalization"'
Publikováno v:
Xibei Gongye Daxue Xuebao, Vol 42, Iss 1, Pp 11-17 (2024)
Sound field reproduction is a method that uses multiple secondary sound sources to reproduce a predefined desired sound field in a listening area. The configuration of the secondary sound sources is a key factor affecting the reproduction performance
Externí odkaz:
https://doaj.org/article/a75d00a46e22431a8e89842dafb7093a
Autor:
Zhanlin Liu, Youngjun Choe
Publikováno v:
Journal of Safety Science and Resilience, Vol 4, Iss 4, Pp 358-365 (2023)
Polynomial chaos expansions (PCEs) have been used in many real-world engineering applications to quantify how the uncertainty of an output is propagated from inputs by decomposing the output in terms of polynomials of the inputs. PCEs for models with
Externí odkaz:
https://doaj.org/article/7dc2ac8a9dc440f6984bb47c5668d3df
Autor:
LYU You, WU Wen-yuan
Publikováno v:
Jisuanji kexue, Vol 49, Iss 3, Pp 338-345 (2022)
In the fields of scientific computing,statistical analysis and machine learning,many practical problems can be reduced to solving linear system Ax=b,such as least square estimation and regression analysis in machine learning.In practice,the data used
Externí odkaz:
https://doaj.org/article/58653cc7906542019d9a7ee5c1861874
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Entropy, Vol 25, Iss 9, p 1248 (2023)
The measurement matrix used influences the performance of image reconstruction in compressed sensing. To enhance the performance of image reconstruction in compressed sensing, two different Gaussian random matrices were orthogonalized via Gram–Schm
Externí odkaz:
https://doaj.org/article/c0f8173e21eb4a0aa799be417075e211
Autor:
Hao Shao, Shunfang Wang
Publikováno v:
Entropy, Vol 25, Iss 5, p 727 (2023)
Recently, there has been a rapid increase in deep classification tasks, such as image recognition and target detection. As one of the most crucial components in Convolutional Neural Network (CNN) architectures, softmax arguably encourages CNN to achi
Externí odkaz:
https://doaj.org/article/caad82b0a5dc413598cbf061e8b82d3d
Publikováno v:
IEEE Access, Vol 8, Pp 208107-208119 (2020)
The superimposed response of multi-target causes difficulty in locating and characterizing each target when detecting unexploded ordnance with a portable transient electromagnetic sensor, constructed with a single-layer transmitting coil and five thr
Externí odkaz:
https://doaj.org/article/e3b4a911b2d34987ab63c43d25f51dbb
Autor:
Roman Ivanovich Parovik
Publikováno v:
Vestnik Samarskogo Gosudarstvennogo Tehničeskogo Universiteta. Seriâ: Fiziko-Matematičeskie Nauki, Vol 23, Iss 2, Pp 378-393 (2019)
In this paper, we study the chaotic regimes of the fractional Duffing oscillator. To do this, using the Wolf algorithm with Gram-Schmidt orthogonalization, we calculated the spectra of maximum Lyapunov exponents depending on the values of the control
Externí odkaz:
https://doaj.org/article/e71c828a263344bcaec93e5ec3080169
Publikováno v:
Sensors, Vol 22, Iss 16, p 6042 (2022)
A novel whitening technique for motor imagery (MI) classification is proposed to reduce the accuracy variance of brain–computer interfaces (BCIs). This method is intended to improve the electroencephalogram eigenface analysis performance for the MI
Externí odkaz:
https://doaj.org/article/5086d53013c549fda6c00b9242566301