Acoustics Source Identification of Diesel Engines Based on Variational Mode Decomposition, Fast Independent Component Analysis, and Hilbert Transformation by Xieqi Chen, Jianhui Lin, Hang Jin, Andy Tan, Lei Yan

“…Variational mode decomposition (VMD) is a signal processing method that enhances the signal corrupted by background noise. …”
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Effect of synchronization system errors on the reception noise immunity of amplitude-phase shift keyed signals by G. V. Kulikov, X. Kh. Dang, A. G. Kulikov

“…An important role in the reception of APSK signals, as well as the signals of other coherent signal processing systems, is played by the stability of synchronization systems. …”
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A multiprotein regulatory module, MED16–MBR1&2, controls MED25 homeostasis during jasmonate signaling by Fangming Wu, Chuanlong Sun, Ziying Zhu, Lei Deng, Feifei Yu, Qi Xie, Chuanyou Li

“…Abstract Mediator25 (MED25) has been ascribed as a signal-processing and -integrating center that controls jasmonate (JA)-induced and MYC2-dependent transcriptional output. …”
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Opposite roles of serotonin and neuropeptide FMRFamide in the regulation of epigenetic processes involved in the longterm memory formation by L. N. Grinkevich, O. V. Vorobiova

“…We observed a different methylation pattern of histone H3 in the cerebral ganglia involved in signal processing of food stimuli, where serotonin did not affect the methylation of histone H3 at the activator site and reduced methylation at the inhibitory site, while FMRFamid had no effect on methylation. …”
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Identifying the Digital Camera from Natural Images Using Residual Noise and the Jensen–Shannon Divergence by Francisco Rodríguez-Santos, Ana L. Quintanar-Reséndiz, Guillermo Delgado-Gutiérrez, Leonardo Palacios-Luengas, Omar Jiménez-Ramírez, Rubén Vázquez-Medina

“…In the reported case studies, the HDR database provided by the Communications and Signal Processing Laboratory of University of Florence is used to select a set of eligible digital cameras, and from this image database, for each digital camera, a set of disputed flat images, a set of disputed natural images, and a set of flat reference images were selected. …”
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Time Domain Equalization and Digital Back-Propagation Method-Based Receiver for Fiber Optic Communication Systems by Fazal Muhammad, Farman Ali, Usman Habib, Muhammad Usman, Imran Khan, Sunghwan Kim

“…In this paper, digital signal processing- (DSP-) assisted dispersion and nonlinear compensation techniques are presented to compensate for physical layer impairments including OFCD, PMD, and POaN. …”
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Plastic Change in the Auditory Minimum Threshold Induced by Intercollicular Effects in Mice by Hui-Xian Mei, Jia Tang, Zi-Ying Fu, Liang Cheng, Qi-Cai Chen

“…This interconnection could mediate an interaction between the two ICs during sound signal processing. The intercollicular effects evoked by focal electric stimulation for 30 min could inhibit or facilitate auditory responses and induce plastic changes in the response minimum threshold (MT) of IC neurons. …”
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Wavelet Transform-Based Damage Identification in Bladed Disks and Rotating Blades by P. Rajendran, N. Jamia, S. El-Borgi, M. I. Friswell

“…Blade tip-timing (BTT) is a noncontact method that is often used to monitor the vibration and clearance of blades in a rotating machinery. Standard signal processing of BTT measurements give one blade response sample per revolution of the machine which is often insufficient for the diagnosis of damage. …”
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A Synthetic Solution for Identification and Extraction of the Effective Microseismic Wave Component Using Decomposition on Time, Frequency, and Wavelet Coefficient Domains by Mingwei Zhang, Qingbin Meng, Shengdong Liu, Hideki Shimada

“…To reduce noise components from original microseismic waves, a comprehensive fine signal processing approach using the integrated decomposition analysis of the wave duration, frequency spectrum, and wavelet coefficient domain was developed and implemented. …”
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Detailed Determination of Delamination Parameters in a Multilayer Structure Using Asymmetric Lamb Wave Mode by Olgirdas Tumšys, Lina Draudvilienė, Egidijus Žukauskas

“…A signal-processing algorithm for the detailed determination of delamination in multilayer structures is proposed in this work. …”
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A novel transmission-augmented deep unfolding network with consideration of residual recovery by Zhijie Zhang, Huang Bai, Ljubiša Stanković, Junmei Sun, Xiumei Li

“…Abstract Compressive sensing (CS) has been widely applied in signal processing field, especially for image reconstruction tasks. …”
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Feature Extraction of Music Signal Based on Adaptive Wave Equation Inversion by Tianzhuo Gong, Sibing Sun

“…There is generally a preprocessing process before the music signal processing. The preprocessing process usually includes antialiasing filtering, digitization, preemphasis, windowing, and framing. …”
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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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Follow-Up and Risk Assessment in Patients with Myocardial Infarction Using Artificial Neural Networks by Tatjana Gligorijević, Zoran Ševarac, Branislav Milovanović, Vlado Đajić, Marija Zdravković, Saša Hinić, Marina Arsić, Milica Aleksić

“…This technique has been used for prediction and classification problems in many areas of medical signal processing. The aim of this paper was to identify individuals with high risk of death after acute myocardial infarction using ANN. …”
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A Novel Security Methodology for Smart Grids: A Case Study of Microcomputer-Based Encryption for PMU Devices by Metin Varan, Akif Akgul, Fatih Kurugollu, Ahmet Sansli, Kim Smith

“…The results show that the proposed microcomputer-based encryption algorithms can be directly embedded as encryption hardware units into PMU and PDC devices which have very fast signal processing capabilities taking into considerations the acceptable delay time for power system protection and measuring applications and quality metering applications which is 2 ms and 10 ms, respectively. …”
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An Automated Approach for Epilepsy Detection Based on Tunable Q-Wavelet and Firefly Feature Selection Algorithm by Ahmed I. Sharaf, Mohamed Abu El-Soud, Ibrahim M. El-Henawy

“…The proposed method presents two perspectives for the EEG signal processing to detect and classify the seizures and seizure-free signals. …”
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Location-Aware Cross-Layer Design Using Overlay Watermarks by Xianbin Wang, Paul Ho, Yiyan Wu

“…Therefore, efficient collaborative signal processing algorithms that consume less energy for computation and less bandwidth for communication are needed. …”
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In-Process Quality Inspection of Rolling Element Bearings Based on the Measurement of Microelastic Deformation of Outer Ring by Kuosheng Jiang, Lianghe Li, Liubang Han, Shuai Gou

“…Accurate evaluation of dynamic quality can be implemented reliably with simple signal processing. The proposed method can be used with a rotating speed of 100 rev/min and test load of 100 N, which is remarkably lower than the traditional quality inspection machineries with a rotating speed of around 1000 rev/min and the test load of 400 N. …”
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Software-Defined Radio-Based IEEE 802.15.4 SUN FSK Evaluation Platform for Highly Mobile Environments by Jaeseok Lim, Keito Nakura, Shota Mori, Hiroshi Harada

“…In addition, we developed received signal processing methods, including a packet detection method and a channel estimation method, which were designed to achieve wide-area, highly mobile communication. …”
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Field-Programmable Gate Array (FPGA)-Based Lock-In Amplifier System with Signal Enhancement: A Comprehensive Review on the Design for Advanced Measurement Applications by Jose Alejandro Galaviz-Aguilar, Cesar Vargas-Rosales, Francisco Falcone, Carlos Aguilar-Avelar

“…Lock-in amplifiers (LIAs) are critical tools in precision measurement, particularly for applications involving weak signals obscured by noise. Advances in signal processing algorithms and hardware synthesis have enabled accurate signal extraction, even in extremely noisy environments, making LIAs indispensable in sensor applications for healthcare, industry, and other services. …”
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