Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Longting Huang"'
Autor:
Jing Zhan, Xiaoyan Wu, Xuelei Fu, Chenze Li, Ke-Qiong Deng, Qin Wei, Chao Zhang, Tao Zhao, Congcong Li, Longting Huang, Kewei Chen, Qiongxin Wang, Zhengying Li, Zhibing Lu
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Continuous monitoring of cardiac motions has been expected to provide essential cardiac physiology information on cardiovascular functioning. A fiber-optic micro-vibration sensing system (FO-MVSS) makes it promising. This study aimed to expl
Externí odkaz:
https://doaj.org/article/0f484f66d1c5454cb344f48a362f1dcd
Publikováno v:
Computers, Materials & Continua. 72:1671-1684
Publikováno v:
Multidimensional Systems and Signal Processing. 32:359-379
Wireless body area networks (WBANs) will become increasingly important in future communication systems, especially in the area of wearable health monitoring systems, such as telemonitoring systems for the collection of electrocardiogram (ECG) data/el
Publikováno v:
Multidimensional Systems and Signal Processing. 31:491-501
In this paper, an algorithm of combing unitary Root-MUSIC method based on tensor mode-R and projection separation approach is proposed for multidimensional (R-D) sinusoidal parameters estimation. The model of the proposed algorithm based on tensor mo
Publikováno v:
2021 6th International Conference on Smart Grid and Electrical Automation (ICSGEA).
The sound source localization method using conventional microphone arrays has been widely used in industrial and military fields. However microphones cannot immune to electromagnetic interference. Fiber-optic acoustic sensing system has become an imp
Publikováno v:
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783030775681
In this paper, we address the frequency estimation problem of a single sinusoid embedded in the heavy-tailed noise, where the additive Cauchy-Gaussian mixture (ACG) model is considered. Here the ACG noise model is the sum of Gaussian and Cauchy varia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::573a7b9bc585830fd8ad4d2ec2764b47
https://doi.org/10.1007/978-3-030-77569-8_9
https://doi.org/10.1007/978-3-030-77569-8_9
Publikováno v:
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783030775681
In this paper, a mixture process is proposed for modelling the summation of Cauchy and Gaussian random variables. The probability density function (PDF) of the mixture can be derived as the Voigt profile. To further study the noise, the estimation of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::89fe10ea932abe1aaa1f98741b5a6a7f
https://doi.org/10.1007/978-3-030-77569-8_16
https://doi.org/10.1007/978-3-030-77569-8_16
Autor:
Yuan Chen, Longting Huang
Publikováno v:
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783030775681
Recently, the iterative adaptive approach (IAA) has been proposed to be a high-resolution spectrum estimator. Its main idea is reformulating the nonlinear frequency estimation problem as a linear one, with parameters being updated iteratively accordi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1407bcd04cb4fac891dd98235298d184
https://doi.org/10.1007/978-3-030-77569-8_8
https://doi.org/10.1007/978-3-030-77569-8_8
Publikováno v:
ICCC
E-health monitoring signals collected from wireless body area networks (WBANs) usually have some highly correlated structures in a certain transform domain (e.g., discrete cosine transform (DCT)). We exploit these structures and propose a fast recove
Publikováno v:
IEEE Access, Vol 7, Pp 68153-68159 (2019)
In this paper, the problem of multidimensional single-tone frequency estimation of sinusoids embedded in white Gaussian noise is investigated. By extracting the two-dimensional (2-D) slice matrices from the multidimensional data, we construct a covar