Main Lobe Anti-Interference Algorithm Based on Robust Oblique Projection Preprocessing by Sui Zhenxing, Wang Zheng, Yuan Xiaolei

“…In practical applications, the array received data often contains target signal components, using the covariance matrix of the sample including the partial target signal instead of the covariance matrix of the interference noise will cause significant errors, especially when the number of array received snapshots is low. …”
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Design, Fabrication, and Application of Large-Area Flexible Pressure and Strain Sensor Arrays: A Review by Xikuan Zhang, Jin Chai, Yongfu Zhan, Danfeng Cui, Xin Wang, Libo Gao

“…Real-time data processing requires innovative solutions such as edge computing and machine learning algorithms, ensuring low-latency, high-accuracy data interpretation while preserving the flexibility of sensor arrays. …”
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Simulation Study on the Accuracy of Modified Distributed Beamforming in Phased Array Weather Radars for Various Precipitation Events by Steffy Benny, Swaroop Sahoo, S. Athira, V. Chandrasekar

“…Thus, the modified DB technique performance evaluation has been done for variation in sensitivity, effective beamwidth, and noise in received signal. For this study, measurements are simulated using radar variables from CSU-CHIVO data taken during the Remote Sensing of Electrification, Lightning, and Mesoscale/microscale Processes with Adaptive Ground Observations (RELAMPAGO) field campaign. …”
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Array Radar Three-Dimensional Forward-Looking Imaging Algorithm Based on Two-Dimensional Super-Resolution by Jinke Dai, Weijie Sun, Xinrui Jiang, Di Wu

“…By implementing the super-resolution techniques in array signal processing into missile-borne radar 3D forward-looking imaging, the resolution can be further improved. …”
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Multi-Channel Replay Speech Detection Using an Adaptive Learnable Beamformer by Michael Neri, Tuomas Virtanen

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Research Advances on Distributed Acoustic Sensing Technology for Seismology by Alidu Rashid, Bennet Nii Tackie-Otoo, Abdul Halim Abdul Latiff, Daniel Asante Otchere, Siti Nur Fathiyah Jamaludin, Dejen Teklu Asfha

“…It also addressed solutions to these problems, such as advances in signal processing, noise suppression techniques, and machine learning integration, which have improved real-time analysis and data interpretability, enabling DAS to compete with traditional seismic networks. …”
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Prototype of Mobile Meter Waveband Radar with Improved Functionality by I. S. Sadovskiy, Y. Y. Bobkov, I. Y. Malevich

“…Actual stage of meter waveband radar evolution is the design of mobile radar with improved surveillance functions, as well as signal generation and processing. Such radars measure coordinates of aircraft in 3D space with adaptive change of operation frequency, parameters of probing signal, and polarization. …”
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Robust Anti-Jamming Method for Large-Array Radar Systems Using Deep Learning Based Null-Space Beamforming by Jaehyuk Lim, Hogeun Yoo, Euihyuk Lee, Sunjin Oh, Jaehoon Lee

“…With the increasing use of AI in radar signal processing, researchers have started combining minimum variance distortionless response (MVDR) with AI technology; however, the use of MVDR results in higher nonlinearity, making the learning process difficult. …”
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Hermitian matrix inversion algorithm by Marina Yuryevna Zvezdina, Olga Valeryevna Komova, Nikolay Valentinovich Shatskiy, Andrey Victorovich Shokov

“…Because of complexity and a large operation number, Gaussian-Jordan method does not allow realizing the real time signal processing in computing systems of the adaptive antenna arrays that are widely used in communication, radiolocation, and radio navigation systems. …”
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A Novel Algorithm for the Decomposition of Non-Stationary Multidimensional and Multivariate Signals by Roberto Cavassi, Antonio Cicone, Enza Pellegrino, Haomin Zhou

“…The decomposition of a signal is a fundamental tool in many fields of research, including signal processing, geophysics, astrophysics, engineering, medicine, and many more. …”
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A unipolar-driven synaptic transistor for environment-adaptable vision system by Sukwon Jang, Keunho Soh, Chungryeol Lee, Taehyun Nam, Minjae Jang, Jeong-ik Park, Changhyeon Lee, Junhwan Choi, Jung Ho Yoon, Sung Gap Im

“…This work presents the first implementation of a self-adaptive artificial vision system based on a unipolar-driven synaptic device, utilizing a 3 × 3 UDST array to achieve real-time object tracking and adaptive sensory processing without external control or computational peripheral circuits.…”
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Emergent Self‐Adaptation in an Integrated Photonic Neural Network for Backpropagation‐Free Learning by Alessio Lugnan, Samarth Aggarwal, Frank Brückerhoff‐Plückelmann, C. David Wright, Wolfram H. P. Pernice, Harish Bhaskaran, Peter Bienstman

“…Abstract Plastic self‐adaptation, nonlinear recurrent dynamics and multi‐scale memory are desired features in hardware implementations of neural networks, because they enable them to learn, adapt, and process information similarly to the way biological brains do. …”
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Design and Fabrication of Multi-Frequency and Low-Quality-Factor Capacitive Micromachined Ultrasonic Transducers by Amirhossein Moshrefi, Abid Ali, Mathieu Gratuze, Frederic Nabki

“…Experimental validation, including Laser Doppler Vibrometer (LDV) measurements of membrane displacement and mode shapes, along with ring oscillation tests to assess Q-factor and signal decay, confirmed the device’s reliability and consistency across four CMUT arrays. …”
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Accentuation as a Mechanism of Visual Illusions: Insights from Adaptive Resonance Theory (ART) by Baingio Pinna, Jurģis Šķilters, Daniele Porcheddu

“…This integration of accentuation effects with ART offers novel insights into the neural substrates of visual perception and presents a unifying theoretical framework for a diverse array of perceptual phenomena, bridging low-level feature processing with high-level cognitive representations.…”
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Modular and signal-responsive transcriptional regulation using CRISPRi-aided genetic switches in Escherichia coli by Seong Keun Kim, Seung-Gyun Woo, Jun-Hong Park, Seung-Goo Lee, Dae-Hee Lee

“…Exploiting the RNase activity of FndCas12a, this system processes CRISPR RNAs (crRNAs) directly from biosensor-responsive mRNA transcripts, enabling precise, signal-dependent transcriptional regulation. …”
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Multi-wavelength optical information processing with deep reinforcement learning by Qiuquan Yan, Hao Ouyang, Zilong Tao, Meili Shen, Shiyin Du, Jun Zhang, Hengzhu Liu, Hao Hao, Tian Jiang

“…This method continuously and autonomously learns from the system, effectively accumulating experiential knowledge for calibration strategies and demonstrating superior adaptability compared to traditional methods. In systems based on dispersion compensating fiber, micro-ring resonator array, and Mach-Zehnder interferometer array that use multi-wavelength optical carriers as the light source, the DRC method enables the completion of the corresponding signal processing functions within 21 iterations. …”
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Ionic-electronic photodetector for vision assistance with in-sensor image processing by Zhipeng Zhong, Yezhao Zhuang, Xin Cheng, Jingtao Zheng, Qianyi Yang, Xiang Li, Yan Chen, Hong Shen, Tie Lin, Wu Shi, Xiangjian Meng, Junhao Chu, Hai Huang, Jianlu Wang

“…Here, we report a CuInP2S6-based photodetector array with tunable photoresponse for in-sensor image processing, directly complementing human vision. …”
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Contactless hearing aid designed for infants by M. Kulesza, B. Kostek, P. Dalka, A. Czyżewski

“…In contrast to all typical wearable hearing aid solutions (ITC, ITE, BTE), the proposed device is mounted in the infant's bed with any parts of its set-up contacting the infant's body. A processed speech signal is emitted by low-power loudspeakers placed near the infant's head. …”
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Correction Processing Method and Application of Induction Logging Tool in Highly Deviated Wells by LIU Jiacheng

“…To solve the problem of tilt correction processing technology encountered in the application of induction logging tool in highly deviated wells, starting from the theoretical model and method of induction logging in deviated wells, an actual measurement signal processing algorithm is established. …”
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A Novel Magnetic Flux Leakage Method Incorporating TMR Sensors for Detecting Zinc Dross Defects on the Surface of Hot-Dip Galvanized Sheets by Bo Wang, San Zhang, Jie Wang, Liqin Jing, Feilong Mao

“…The detection results indicate that this novel MFL detection method could detect industrial zinc dross with an equivalent size of 400 μm, with high signal repeatability and signal-to-noise ratio. In the range of 0–1200 mm/s, the detection speed has almost no effect on the measurement signal, which indicates that this novel method has higher adaptability to various conditions. …”
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