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This paper proposes an adaptive probabilistic shaping technology based on avalanche photodiode (APD) gain control in the atmospheric turbulence channel. The scintillation index calculated by APD in real-time is used as the channel state information, and the mapping relationship between the optimal gain of APD and the scintillation index is derived. At the transmitting end, based on the genetic algorithm, the optimal distribution of the transmitted signal is solved with the generalized mutual information (GMI) as the objective function. This paper uses the Gamma-Gamma distribution as the turbulence channel model, conducts a simulation experiment of multi-level pulse amplitude modulation (M-PAM) signal transmission, and uses the Monte Carlo method to calculate the GMI and normalized generalized mutual information (NGMI). The results show that compared with the uniform distribution, the adaptive probability shaping technology can effectively improve the achievable information rate, and under the same channel conditions, the GMI has a maximum value at the optimal APD gain.
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http://dx.doi.org/10.1364/OE.544687 | DOI Listing |
Brain
September 2025
Aix Marseille Univ, INSERM, INS, Inst Neurosci Syst, 13005 Marseille, France.
The lateral prefrontal cortex (LPFC) serves as a critical hub for higher-order cognitive and executive functions in the human brain, coordinating brain networks whose disruption has been implicated in many neurological and psychiatric disorders. While transcranial brain stimulation treatments often target the LPFC, our current understanding of connectivity profiles guiding these interventions based on electrophysiology remains limited. Here, we present a high-resolution probabilistic map of bidirectional effective connectivity between the LPFC and widespread cortical and subcortical regions.
View Article and Find Full Text PDFPLoS One
September 2025
[This corrects the article DOI: 10.1371/journal.pone.
View Article and Find Full Text PDFUnlabelled: Adaptive behavior requires integrating information from multiple sources. These sources can originate from distinct channels, such as internally maintained latent cognitive representations or externally presented sensory cues. Because these signals are often stochastic and carry inherent uncertainty, integration is challenging.
View Article and Find Full Text PDFComput Biol Med
September 2025
Department of Mathematics, NIT Jamshedpur, Jharkhand 831014, India. Electronic address:
The behavior of blood viscosity is influenced by several physical factors, particularly hematocrit levels and vessel diameter. For a fixed hematocrit, apparent blood viscosity decreases with tube diameters in the range of 9μm to 1000μm, a phenomenon known as the Fåhræus-Lindqvist (FL) effect. Almost all existing models of the apparent blood viscosity are empirically proposed describing that viscosity exponentially increases with hematocrit.
View Article and Find Full Text PDFIEEE Trans Cybern
September 2025
This article investigates the state estimation problem for 2-D Markov jumping systems subjected to randomly occurring FDIA. To address this challenge, a novel probabilistic multi-interval ETP (PMIETP) is proposed, integrated with a time-varying saturation mechanism (TVSM). The PMIETP is designed by combining subinterval triggering thresholds with a probability distribution model, thereby enhancing system performance and adaptability under varying network conditions.
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