Interacting Large Language Model Agents Bayesian Social Learning Based Interpretable Models by Adit Jain, Vikram Krishnamurthy

“…This paper discusses the theory and algorithms for interacting large language model agents (LLMAs) using methods from statistical signal processing and microeconomics. While both fields are mature, their application to decision-making involving interacting LLMAs remains unexplored. …”
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A Precise Oxide Film Thickness Measurement Method Based on Swept Frequency and Transmission Cable Impedance Correction by Yifan Li, Qi Xiao, Lisha Peng, Songling Huang, Chaofeng Ye

“…A swept frequency signal-processing algorithm is developed to separate the parameters and calculate oxide film thickness. …”
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AI Innovations in rPPG Systems for Driver Monitoring: Comprehensive Systematic Review and Future Prospects by Soha G. Ahmed, Katrien Verbert, Nazar Zaki, Ashraf Khalil, Hamad Aljassmi, Fady Alnajjar

“…This review examines recent advancements in machine learning algorithms and signal processing for rPPG in driver monitoring. A literature search up to April 2, 2024, across major databases, identified 344 studies; 29 were analyzed in depth, focusing on: 1) rPPG signal extraction and heart rate estimation, where deep learning improved accuracy; 2) fatigue detection, showing benefits of multimodal data fusion; 3) mental state monitoring, with machine learning classifying cognitive load and distraction; and 4) emotional state monitoring and dataset development, indicating a trend toward holistic driver assessment. …”
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Communication and Sensing: Wireless PHY-Layer Threats to Security and Privacy for IoT Systems and Possible Countermeasures by Renato Lo Cigno, Francesco Gringoli, Stefania Bartoletti, Marco Cominelli, Lorenzo Ghiro, Samuele Zanini

“…Recent advances in signal processing and AI-based inference enable the exploitation of wireless communication signals to collect information on devices, people, actions, and the environment in general, i.e., to perform Integrated Sensing And Communication (ISAC). …”
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The DOA Estimation Algorithm Based on Virtual Domain Block Matching for Nested Arrays in the Presence of Mutual Coupling by Shun He, Nan Sun, Zhiwei Yang, Le Qin

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MIDAS: A Miniature Device for Real‐Time Determination of the Identity and Energy of Particles in Space by C. P. Lambropoulos, C. Potiriadis, G. Theodoratos, I. Kazas, C. Papadimitropoulos, D. Loukas, I. Glikiotis, K. Karafasoulis, P. Paschalis, M. Kοkavesis, S. Dimopoulos, A. Delakoura, S. Pappas, E. Dimovasili, G. Dimitropoulos

“…Miniaturization was achieved by using fully depleted silicon pixel detectors with the signal processing electronics residing on pixel. The device concept, simulated performance, and first measurements are presented. …”
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Natural sampling and aliasing of marine geochemical signals by Andrew Curtis, Hugo Bloem, Rachel Wood, Fred Bowyer, Graham A. Shields, Ying Zhou, Mariana Yilales, Daniel Tetzlaff

“…Without absolute age constraints of sufficient resolution, the temporal correlation of spatially disjunct records is therefore problematic and uncertain, but these effects have rarely been analysed quantitatively using signal processing methods. Here we use a computational process model to illustrate and analyse how spatial and temporal geochemical records can be biased by the inherent, heterogenous processes of marine sedimentation and preservation. …”
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Vibration Signal Analysis of Water Seal Blasting Based on Wavelet Threshold Denoising and HHT Transformation by Jiang-chao Liu, Wen-xue Gao

“…The blasting vibration signal obtained from tunnel construction monitoring is affected by the external environment, which contains a lot of noise that causes distortion during signal processing. To analyse the blasting vibration signal and determine the appropriate water seal blasting charge structure for construction, combined with wavelet threshold denoising method and HHT transformation, the blasting vibration signals of the four charge structures of conventional charge, water interval charge at both ends, water interval charge at the orifice, and water interval charge at the hole bottom are denoised and HHT is analysed. …”
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Noise-resilient designs and analysis for optical neural networks by Gianluca Kosmella, Ripalta Stabile, Jaron Sanders

“…All analog signal processing is fundamentally subject to noise, and this is also the case in next generation implementations of optical neural networks (ONNs). …”
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Decode Brain System: A Dynamic Adaptive Convolutional Quorum Voting Approach for Variable-Length EEG Data by Tao Xu, Yun Zhou, Zekai Hou, Wenlan Zhang

“…It also has the potential to be used in variable signal processing in other application areas.…”
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Analysis of Electromagnetic Interference Effects of 5G Signals on Radio Altimeters by Zhaobin Duan, Ke Xu, Zhenyang Ma, Peng Wang

“…The simulation results indicate that 5G signals can induce nonlinear effects in the RF front-end circuit of the RA, leading to IF signal gain compression, thereby affecting the subsequent signal processing of RA receivers. The interference effect on the RA receiver is influenced by factors such as the power and frequency of the 5G interference signal. …”
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Single-channel attention classification algorithm based on robust Kalman filtering and norm-constrained ELM by Jing He, Zijun Huang, Yunde Li, Jiangfeng Shi, Yehang Chen, Chengliang Jiang, Jin Feng

“…The method outperformed traditional Kalman filtering, LMS adaptive filtering, and TGAM’s eSense algorithm in both noise reduction and attention classification accuracy.DiscussionThe study highlights the effectiveness of combining advanced signal processing and machine learning techniques to improve the robustness and generalization of EEG-based attention classification. …”
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Recent Advances in Ultrahigh-Speed Wireline Receivers With ADC-DSP-Based Equalizers by Seoyoung Jang, Jaewon Lee, Yujin Choi, Donggeun Kim, Gain Kim

“…With the digital-to-analog converter (DAC)-based transmitter (TX), including DSP-based TX signal processing, the overall structure of DAC/ADC-DSP-based wireline TRXs became similar to modulator/demodulator (MODEM). …”
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Speech Perception as a Function of the Number of Channels and Channel Interaction in Cochlear Implant Simulation by Mustafa YUKSEL, Sultan Nur KAYA

“…These findings underscore the paramount importance of prioritizing channel interaction in signal processing and CI fitting.…”
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Application of the Correlation Velocity Measurements for Hydrodynamic Investigations of Turbulent Coolant Flow in Nuclear Reactor Elements by I. A. Konovalov, A. E. Khrobostov, M. A. Legchanov, D. N. Solncev, A. A. Barinov, A. V. Ryazanov, A. A. Chesnokov, M. A. Makarov

“…The paper presents the methodology of the tests, test facility description, signalto-noise ratio estimation, the results of digital signal processing and comparison of the measured velocities in the model with the flowrate‒averaged velocity determined by the use of flowmeters. …”
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Exploring the Effectiveness of Machine Learning and Deep Learning Techniques for EEG Signal Classification in Neurological Disorders by Souhaila Khalfallah, William Puech, Mehdi Tlija, Kais Bouallegue

“…In conclusion, this research highlights the effectiveness of ML and DL techniques in EEG signal processing, offering valuable contributions to the field of brain-computer interfaces and advancing the potential for more accurate neurological disease classification and diagnosis.…”
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Fault Detection in Induction Machines Using Learning Models and Fourier Spectrum Image Analysis by Kevin Barrera-Llanga, Jordi Burriel-Valencia, Angel Sapena-Bano, Javier Martinez-Roman

“…This methodology offers a scalable solution for predictive maintenance in induction motors, effectively combining signal processing, computer vision, and explainability techniques.…”
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Horizontal Detection Range Estimation of Deep-Sea Acoustic Shadow Area Based on Vertical Phased Emission Array by Naibin Chen, Dayong Peng, Li Ma, Tao Hu, Haijun Liu, Haifeng Li

“…Numerical simulation and echo signal processing show that the high-efficiency angle scanning of the entire deep-sea sound shadow zone is achieved by the proposed estimation method.…”
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Enhancing pediatric congenital heart disease detection using customized 1D CNN algorithm and phonocardiogram signals by Ihtisham Ul Haq, Ghassan Husnain, Yazeed Yasin Ghadi, Nisreen Innab, Masoud Alajmi, Hanan Aljuaid

“…The research highlights the promise of combining modern signal processing with deep learning for efficient CHD screening. …”
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Ultranarrow-linewidth stimulated Brillouin scattering with fundamental acoustic waves by Wendao Xu, Maxime Zerbib, Arjun Iyer, Kien Phan Huy, Jean-Charles Beugnot, William H. Renninger

“…Stimulated Brillouin scattering is a well-known nonlinear optical interaction valued for applications including narrow-linewidth lasers, phase conjugation, sensing, and RF-signal processing such as delay lines and filters. While interaction strength and linewidth directly affect device performance, most strongly interacting Brillouin systems have linewidths of many MHz, limited by the high frequency of the participating acoustic waves. …”
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