Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Yinjie Jia"'
Autor:
Pengfei Xu, Yinjie Jia
Publikováno v:
Results in Engineering, Vol 22, Iss , Pp 102210- (2024)
Developing mathematical models for dynamic systems presents challenges in selecting state variables, crucial for minimizing computational operations during filter implementation. The paper addresses active identification of dynamic systems amid noise
Externí odkaz:
https://doaj.org/article/68c1c98ef1a34b02808e3c39a841bfa5
Publikováno v:
Results in Engineering, Vol 15, Iss , Pp 100577- (2022)
This paper analyzed and compared the ergodic channel capacities of several typical channel systems (SISO, SIMO, MISO, MIMO) in independent identically distributed flat Rayleigh fading channels. The theoretical and simulation results show that the erg
Externí odkaz:
https://doaj.org/article/98eb1c73efa64fc9a8a85e203d381579
Autor:
Yinjie Jia, Pengfei Xu
Publikováno v:
IEEE Access, Vol 8, Pp 41213-41219 (2020)
Convolutive blind source separation (CBSS) is one of the main branches in the field of intelligent signal processing. Inspired by the thought of sliding discrete Fourier transform (DFT), an idea of the sliding Z-transform is introduced in the present
Externí odkaz:
https://doaj.org/article/3ff1dde9ead94d56b9ae5140e3f97274
Publikováno v:
IEEE Access, Vol 7, Pp 32400-32407 (2019)
Multi-object tracking has been a key research subject in many computer vision applications. We propose a novel approach based on multi-agent deep reinforcement learning (MADRL) for multi-object tracking to solve the problems in the existing tracking
Externí odkaz:
https://doaj.org/article/89b4cbbe3f0f42fba9a50ac100bff84b
Autor:
Yinjie Jia, Pengfei Xu
Publikováno v:
Results in Engineering, Vol 6, Iss , Pp - (2020)
While diagnosing or locating the source of equipment fault, noise is often superimposed on the sampled vibration signal data. This study proposes an oversampling and two-stage autocorrelation model for signal de-noising. Simulation shows the effect o
Externí odkaz:
https://doaj.org/article/e78f62dbe1254bf5b4b5aee8128a0c0a
Publikováno v:
Journal of Electrical Engineering. 73:378-386
We propose a single channel blind source separation algorithm for convolutively mixed linear frequency modulation (LFM) signals based on smoothed Wigner-Ville distribution (SWVD) time-frequency analysis, Canny edge detection, and Hough transform dete
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::24c731066d3454a2dd284730bb9375b4
https://doi.org/10.2478/jee-2022-0052
https://doi.org/10.2478/jee-2022-0052
Autor:
Yinjie Jia, Pengfei Xu
Publikováno v:
Journal of Electrical Engineering. 72:348-351
Interpolation improves the resolution of the curve. Based on the stationary characteristics of the signal and the non-stationary characteristics of the noise, the theoretical proof indicates that the piecewise linear interpolation can improve the sig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39510f99754c0665b5a39a28f2f325ef
https://doi.org/10.2478/jee-2021-0049
https://doi.org/10.2478/jee-2021-0049
Publikováno v:
Journal of Electrical Engineering. 72:208-212
Blind source separation (BSS) is a research hotspot in the field of signal processing. This scheme is widely applied to separate a group of source signals from a given set of observations or mixed signals. In the present study, the Savitzky-Golay fil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c7ffa5795b52bf2596b785ef900b065
https://doi.org/10.2478/jee-2021-0029
https://doi.org/10.2478/jee-2021-0029
Publikováno v:
Circuits, Systems, and Signal Processing. 39:2442-2458
Underdetermined blind source separation (UBSS) is an important issue for sparse signals, and a novel two-step approach for UBSS based on the law of large numbers and minimum intersection angle rule (LM method) is presented. In the first step, an esti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ecaa8b9f23c187d4f6779b269f32508
https://doi.org/10.1007/s00034-019-01263-2
https://doi.org/10.1007/s00034-019-01263-2
During the operation of the engine rotor, the vibration signal measured by the sensor is the mixed signal of each vibration source, and contains strong noise at the same time. In this paper, a new separation method for mixed vibration signals in stro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a1381946b996f5250a8f33f7ddf7bf52
https://www.scipedia.com/public/Jia_et_al_2020b
https://www.scipedia.com/public/Jia_et_al_2020b
