Visible Light Communications (VLC) have gained much popularity lately. In such a system, a white LED (Light-Emitting Diode) plays a double role as a light source and a transmitter. The main problem here is that the LED exhibits a low bandwidth and high nonlinearity, so the equalization of the LED nonlinear dynamic response is necessary. For this, various equalizers are used. This paper compares the pre- and post-equalizer performance in terms of the received signal quality for a channel that includes a nonlinear element of limited bandwidth, such as an LED. Multilevel Pulse Amplitude Modulation (PAM) was selected as the signal format, as well as a variant of the Volterra series equalizer as the compensating element. The results obtained may be used for the correction of the dynamic characteristics of LEDs applied in VLC systems. For the sake of comparison, we used Modulation Error Ratio (MER) values at the receiver output. The dynamic nonlinear behavior was modeled by a Wiener-Hammerstein device, whereas the post/pre-equalizer was based on the dynamic deviation reduction-based Volterra series. The obtained results indicate that the post- and pre-equalizer performed comparably for the linear/moderately nonlinear channels and for a high noise level. In the case of high nonlinearity and a large SNR (Signal-to-Noise Ratio) values, the post-equalizer performed somewhat better in terms of MER by a few dB at maximum.
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http://dx.doi.org/10.3390/s22051782 | DOI Listing |
Bull Math Biol
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School of Mathematical Sciences, Queensland University of Technology (QUT), Brisbane, Australia.
We propose a simple mathematical model to describe the mechanical relaxation of cells within a curved epithelial tissue layer represented by an arbitrary curve in two-dimensional space. This model generalises previous one-dimensional models of flat epithelia to investigate the influence of curvature for mechanical relaxation. We represent the mechanics of a cell body either by straight springs, or by curved springs that follow the curve's shape.
View Article and Find Full Text PDFSci Rep
January 2025
National Key Laboratory of Science and Technology on Helicopter Transmission, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, China.
The split torque gear transmission holds significant potential for use in helicopter main reducer transmission systems due to its benefits of low noise, high power-to-weight ratio, and high reliability. In this context, a nonlinear dynamic equation was formulated in the present study for a single-input dual-output gear split-torque transmission system, and the system's dynamic behavior was examined under the effects of center distance error and backlash using the fourth-order Runge-Kutta method. The findings indicate that the impact of center distance error on the system's dynamics is linear, whereas the effect of backlash is nonlinear.
View Article and Find Full Text PDFPLoS One
January 2025
School of Finance, Zhongnan University of Economics and Law, Wuhan, China.
Green development is related to the long-term sustainable development of enterprises, but there is little literature on the impact of information and communication technology (ICT) investment on green development of enterprises. To fill this gap, based on the sample of A-share high-polluting industry enterprises in China's Shanghai and Shenzhen stock markets from 2007 to 2019, this paper uses the dynamic panel threshold model to deeply study the non-linear impact of ICT investment on green development. This paper found that: (1) there is a threshold effect on the impact of ICT investment on green development of enterprises in high-polluting industries, and when ICT investment breaks through the threshold value, it can promote green development.
View Article and Find Full Text PDFPLoS Comput Biol
December 2024
Communication Science Laboratories, NTT Corporation, Kyoto, Japan.
Spike train modeling across large neural populations is a powerful tool for understanding how neurons code information in a coordinated manner. Recent studies have employed marked point processes in neural population modeling. The marked point process is a stochastic process that generates a sequence of events with marks.
View Article and Find Full Text PDFJ Phys Condens Matter
January 2025
Physics, Xiamen University, Wulijidian Building 358, Haiyun campus, Xiamen University, Xiamen, Fujian, 361005, CHINA.
Newly-synthesized structure T (sT) hydrate show promising practical applications in hydrogen storage and transport, yet the properties remain poorly understood. Here, we develop a machine learning potential (MLP) of sT hydrogen hydrate derived from quantum-mechanical molecular dynamics (MD) simulations. Using this MLP forcefield, the structural, hydrogen diffusion, mechanical and thermal properties of sT hydrogen hydrate are extensively explored.
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