3MT Competition (EUSIPCO2024): A peek into the black box: Insights into the functionality of complex-valued neural networks for multichannel speech enhancement by Annika Briegleb

“…Artificial neural networks (ANNs) have become an important part of signal processing research. While ANNs outperform model-based signal processing methods in many applications, their internal processing often remains unclear. …”
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Integrated photonic programmable random matrix generator with minimal active components by Kevin Zelaya, Mostafa Honari-Latifpour, Mohammad-Ali Miri

“…Abstract Random matrices are fundamental in photonic computing because of their ability to model and enhance complex light interactions and signal processing capabilities. In manipulating classical light, random operations are utilized for random projections and dimensionality reduction, which are important for analog signal processing, computing, and imaging. …”
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A Systematic, Cross-Model Evaluation of Ensemble Light Scattering Sensors by Abhay Vidwans, Pratim Biswas

“…All six sensors had identical optics and geometry, isolating the effect of signal processing circuit topography on performance parameters for particulate matter measurement. …”
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The Application and Analysis of Emotion Recognition Based on Modern Technology by Bi Lanxin

“…Physiological signal recognition offers deep insights into internal emotional states but requires complex signal processing and is vulnerable to external interferences. …”
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DOA estimation method for time-varying metasurface based on asynchronous modulation by YI Ming, CHEN Ming, ZHONG Zhou, JIN Liang

“…This approach significantly increased the modulation rate, effectively mitigating the problem of spectral aliasing and consequently broadening the signal processing bandwidth. This novel approach capitalized on the inherent persistence of unit states over a duration, without necessitating any alterations to the hardware constraints of the time-varying metasurface (TVM). …”
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ELECTRICITY METER WITH THE FACILITY TO DETERMINE THE QUALITY OF THE ELECTRICITY SUPPLIED by DAN ROTAR, GEORGE CULEA

“…At the same time, diagnosing the quality of the energy provided makes it possible to identify and remedy problems that have arisen in the system. Advanced signal processing techniques and the use of advanced systems allow for a complex analysis of the phenomenon. …”
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Decoherence in spin wave propagation via precursor pulses during signal equilibration by Cameron Aidan McEleney, Robert E. Camley, Rair Macêdo

“…Understanding the relationship between spin wave dispersion and decoherence can enable engineering magnonic devices supporting well-resolved signals for magnonic computing and signal processing.…”
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Application of Laplace Transform For Solving Population Growth and Decay Models. by Natukunda, Pamellah

“…For example, when the signals are sent through the phone they are first converted into a time-varying wave and then superimposed on the medium and for many engineering tasks such as Electrical Circuit Analysis, Digital Signal Processing, and System Modelling. The given application shows the effectiveness of the Laplace transform for solving population growth and decay problems. …”
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Identifikasi Emosi Manusia Berdasarkan Ucapan Menggunakan Metode Ekstraksi Ciri LPC dan Metode Euclidean Distance by Siti Helmiyah, Imam Riadi, Rusydi Umar, Abdullah Hanif, Anton Yudhana, Abdul Fadlil

“…Speech Processing is a branch of digital signal processing aimed at the realization of natural interactions between humans and machines. …”
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Optical memory and counter using a graphene based hybrid plasmonic temporal integrator by Faezeh Bahrami-Chenaghlou, Amir Habibzadeh-Sharif, Afshin Ahmadpour

“…Abstract This paper presents design and analysis of an optical memory and counter based on ultra-compact temporal integrators (INTs) using a graphene hybrid plasmonic add-drop ring resonator (GHP-ADRR) and pulley-type ring resonator (GHP-PRR) for optical signal processing. Due to the valuable features of graphene hybrid plasmonic technology, the footprint of these INTs is equal to 4 × 3.5 µm2 for GHP-ADRR and 5.4 × 3.6 µm2 for GHP-PRR. …”
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Estimating Shape Parameters of Piecewise Linear-Quadratic Problems by Zheng, Peng, Ramamurthy, Karthikeyan Natesan, Aravkin, Aleksandr Y.

“…Piecewise Linear-Quadratic (PLQ) penalties are widely used to develop models in statistical inference, signal processing, and machine learning. Common examples of PLQ penalties include least squares, Huber, Vapnik, 1-norm, and their asymmetric generalizations. …”
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Imaging exoplanets with coronagraphic instruments by Galicher, Raphaël, Mazoyer, Johan

“…Finally, we present instrumental and signal processing techniques used for on-sky minimization or a posteriori calibration of these speckles in order to improve the performance of coronagraphs.…”
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Optimization of high-dimensional expensive multi-objective problems using multi-mode radial basis functions by Jiangtao Shen, Xinjing Wang, Ruixuan He, Ye Tian, Wenxin Wang, Peng Wang, Zhiwen Wen

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A digital twin framework with MobileNetV2 for damage detection in slab structures by Huong Duong Nguyen, Huan Nguyen, Xiaohong Gao

“… In this study, a digital twin framework is proposed for damage detection in a civil structure, which consists of a finite element model, neural networks, model updating methods, and signal processing. To verify the proposed framework, we present a case study of slab structure using deflection measurement as input data. …”
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Transformer-Based Optimization for Text-to-Gloss in Low-Resource Neural Machine Translation by Younes Ouargani, Noussaim El Khattabi

“…However, despite the recent advancements in Signal Processing and Neural Machine Translation, more studies overlook speech-to-sign language translation in favor of sign language recognition and sign language to text translation. …”
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A method of EEG signal feature extraction based on hybrid DWT and EMD by Xiaozhong Geng, Linen Wang, Ping Yu, Weixin Hu, Qipeng Liang, Xintong Zhang, Cheng Chen, Xi Zhang

“…The processing and recognition of electroencephalogram (EEG) signal is the most important part of brain-computer interface (BCI) system, and the quality of signal processing and recognition is directly related to the effectiveness of BCI system. …”
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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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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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A comprehensive review of metasurface-assisted direction-of-arrival estimation by Huang Min, Li Ruichen, Zou Yijun, Zheng Bin, Qian Chao, Jin Hui, Chen Hongsheng

“…Direction of arrival (DoA) estimation is a key research focus in array signal processing, and numerous progressive direction-finding algorithms have already been developed. …”
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Pengenalan Jalan Berlubang Berbasis Vision Menggunakan Pyramid Histogram Of Oriented Gradients by Ahmad Habib Fitriansyah, Ema Rachmawati, Risnandar Risnandar

“…Traditional methods of pothole detection relied on visual inspection, but automatic methods have been developed using sensors and signal processing. This article presents a new approach using image processing and machine learning to identify potholes on roads. …”
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