An Efficient FPGA Implementation of Optimized Anisotropic Diffusion Filtering of Images by Chandrajit Pal, Avik Kotal, Asit Samanta, Amlan Chakrabarti, Ranjan Ghosh

“…Noise removal as a preprocessing step helps to improve the performance of the signal processing algorithms, thereby enhancing image quality. …”
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Wearable Power Assistant Robot Sensor Signal Prediction Algorithm and Controller Design by Gang Li, Guoheng Ren

“…The lower computer includes amplification circuit, signal conditioning circuit, and acquisition. The signal processing software part of the circuit and the corresponding MCU and the upper computer mainly include the data acquisition and prediction algorithm implementation, and the upper computer adopts the mixed programming technology of Vc++ and MATLAB to complete the software part of the upper computer. …”
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Emerging Spatiotemporal Dynamics in Multiterminal Neuromorphic Nanowire Networks Through Conductance Matrices and Voltage Maps by Davide Pilati, Fabio Michieletti, Alessandro Cultrera, Carlo Ricciardi, Gianluca Milano

“…Abstract Self‐organizing memristive nanowire (NW) networks are promising candidates for neuromorphic‐type data processing in a physical reservoir computing framework because of their collective emergent behavior, which enables spatiotemporal signal processing. However, understanding emergent dynamics in multiterminal networks remains challenging. …”
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Multistage Fault Feature Extraction of Consistent Optimization for Rolling Bearings Based on Correlated Kurtosis by Long Zhang, Binghuan Cai, Guoliang Xiong, Jianmin Zhou, Wenbin Tu, Yinquan Yu

“…First, most optimization indices used in the individual signal processing stage do not take the periodical characteristic of fault transient impulses into consideration. …”
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Efficient AM Algorithms for Stochastic ML Estimation of DOA by Haihua Chen, Shibao Li, Jianhang Liu, Yiqing Zhou, Masakiyo Suzuki

“…The estimation of direction-of-arrival (DOA) of signals is a basic and important problem in sensor array signal processing. To solve this problem, many algorithms have been proposed, among which the Stochastic Maximum Likelihood (SML) is one of the most concerned algorithms because of its high accuracy of DOA. …”
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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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Supraglacial lake evolution and its drivers in Dronning Maud Land, East Antarctica by Anirudha Mahagaonkar, Geir Moholdt, Quentin Glaude, Thomas Vikhamar Schuler

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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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Electromagnetic signal modulation recognition technology based on lightweight deep neural network by Sicheng ZHANG, Yun LIN, Ya TU, Shiwen Mao

“…In response to the trend that in the 6th generation wireless (6G) era,mobile communications and artificial intelligence will be closely integrated,and a huge number of edge intelligent signal processing nodes will be deployed,an efficient and intelligent electromagnetic signal recognition model was proposed,which could be deployed on resource-constrained edge devices.The constellation diagram of electromagnetic signal was firstly drawn to visualize electromagnetic signal as a two-dimensional image,and color the constellation diagram according to the normalized point density to achieve feature enhancement.Then,a binary deep neural network was adopted to recognize the colored constellation diagrams.It was shown that the approach can guarantee a high recognition accuracy,which significantly reduced the model storage and calculation costs.For verification,the proposed approach was applied to the problem of electromagnetic signal modulation recognition.The experiment uses eight commonly used digital modulation signals and selects additive white Gaussian noise as the channel environment.The experimental results show that the scheme can achieve a comprehensive recognition rate of 96.1% under the noise condition of -6～6 dB,while the size of the network model is only 166 KB.Further,the execution time,when executed on a Raspberry Pi 4B,is only 290 ms.Compared to a full-precision network of the same scale,the accuracy is increased by 0.6%,the model is reduced to <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML"> <mfrac> <mtext>1</mtext> <mrow> <mtext>26</mtext><mo>.…”
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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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