Research of online monitoring of high voltage cable insulation degradation of coal mine by WANG Yongsheng, LI Xiaona, ZHAO Guodong, PENG Qixuan, LIANG Rui

“…Wavelet noise canceling technology and signal separation technology based on orthogonal decomposition were used for noise signal processing of grounding line current. …”
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Multi-Channel Time-Domain Boring-Vibration-Enhancement Method Using RNN Networks by Xiaolin Xu, Juhu Li, Huarong Zhang

“…To address the impact of environmental noise, this paper introduces a signal separation system based on a multi-channel attention mechanism. …”
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An Adaptive S-Method to Analyze Micro-Doppler Signals for Human Activity Classification by Fangmin Li, Chao Yang, Yuqing Xia, Xiaolin Ma, Tao Zhang, Zhou Zhou

“…This method can bring a better compromise in the auto-terms concentration and cross-terms suppressing, which contributes to the multi-component signal separation. Finally, the effective micro signal is extracted by threshold segmentation and envelope extraction. …”
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Interoperable Nanoparticle Sensor Capable of Strain and Vibration Measurement for Rotor Blade Monitoring by Soo-Hong Min, Ying-Jun Quan, Su-Young Park, Gil-Yong Lee, Sung-Hoon Ahn

“…Furthermore, using the proposed signal separation algorithm based on the Kalman filter, strain and vibration were each measured in real time. …”
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Multi-Stream Convolutional Neural Networks for Rotating Machinery Fault Diagnosis under Noise and Trend Items by Han Dong, Jiping Lu, Yafeng Han

“…The experimental results suggested that the model achieved pretty high accuracy under noise and trend items without the help of signal separation algorithms. In addition, the positive implications of multiple inputs and information fusion are analyzed through the visualization of learned features.…”
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Nonconvex Tensor Relative Total Variation for Image Completion by Yunqing Bai, Jihong Pei, Min Li

“…Recently, low-rank priors have gained importance in matrix completion problems and signal separation; however, due to the complexity of multi-dimensional data, using a low-rank prior by itself is often insufficient to achieve desirable completion, which requires a more comprehensive approach. …”
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Pulse Sequence Division in Mixed Signal Flow by V. F. Korotkov, R. S. Zyryanov

“…The purpose of this article is to develop an improved algorithm for time selection with a higher accuracy of signal separation in the complex electronic environment. …”
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A Time-Frequency Domain Underdetermined Blind Source Separation Algorithm for MIMO Radar Signals by Qiang Guo, Guoqing Ruan, Yanping Liao

“…Secondly, to obtain the optimal solution of underdetermined sparse component analysis, the smoothed l 0 norm (SL0) is introduced to preliminarily achieve signal separation in the time-frequency domain. Finally, time-frequency ridge estimation is proposed to jointly enhance the reconstruction accuracy of the MIMO radar signals, and the time domain waveforms are recovered by the model of the signals. …”
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Enhancing MIMO Antenna Isolation with Novel Electromagnetic Band Gap (EBG) Structure and Genetic Algorithm Optimization by Shalini E, Prakash G

“…This MIMO antenna design with an EBG structure is suitable for wireless LAN communication systems, offering improved signal separation and performance. The proposed method integrates square patch antennas operating at 24 GHz with a metamaterial EBG structure on a Rogers R04350B substrate, using a genetic algorithm for optimization. …”
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An Acquisition Method for Visible and Near Infrared Images from Single CMYG Color Filter Array-Based Sensor by Younghyeon Park, Byeungwoo Jeon

“…The proposed imaging system is equipped with a conventional color filter array of cyan, magenta, yellow, and green, and achieves signal separation by applying a proposed separation matrix which is derived by mathematical modeling of the signal acquisition structure. …”
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Application of Adaptive Wave Cancellation Underwater to a Piezoelectric-Material-Based Multilayer Sensor by Hyodong Lee, Hwijin Park, Kwan Kyu Park, Hak Yi

“…Furthermore, the use of a combination of an adaptive control scheme and a time-delay signal separation method has the potential to provide the proposed absorber system with a wave cancellation capability and thereby enable the absorber system to respond to environmental changes underwater. …”
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At the Edge of Chaos: How Cerebellar Granular Layer Network Dynamics Can Provide the Basis for Temporal Filters. by Christian Rössert, Paul Dean, John Porrill

“…Here we show for the first time that using a mechanism very similar to reservoir computing enables random neuronal networks in the granule cell layer to provide the necessary signal separation and extension from which Purkinje cells could construct basis filters of various time-constants. …”
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The role of speech therapy in the therapy of children with central hearing disorders by Agnieszka Kasperczuk-Bajda, Monika Wybraniak, Antoni Niedzielski

“…Among the auditory exercises conducted by the speech therapist are understanding distorted speech exercises, understanding distorted speech in the presence of a jamming signal, separation and integration of information exercises. localization and lateralization exercises, recognizing sound patterns exercises, recognizing sound sequences exercises, differentiating nonverbal stimuli and phonemes exercises and prosodic training. …”
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Microseismic Signal Denoising and Separation Based on Fully Convolutional Encoder–Decoder Network by Hang Zhang, Chunchi Ma, Veronica Pazzi, Yulin Zou, Nicola Casagli

“…The method simultaneously learns the sparse features in the time–frequency domain, and the mask-related mapping function for signal separation. The results show that the proposed method has an impressive performance on denoising microseismic signals containing various types and intensities of noise. …”
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Constrained source space imaging: application to fast, region-based functional MRI. by Chiew, M, Graham, S

“…Results demonstrate good voxel signal separation and good characterization of hemodynamic responses in primary motor cortices (M1) and supplementary motor areas through T2* fitting of the measured signals. …”

Boosting flood routing prediction performance through a hybrid approach using empirical mode decomposition and neural networks: a case study of the Mera River in Ankara by Okan Mert katipoğlu, Metin Sarıgöl

“….; It can assist in flood management strategies and mitigation in risky areas with flood routing forecasts.; Signal separation techniques have been shown to increase the success of flood translation estimation.; The EMD-FFBNN hybrid model showed the most accurate results in flood routing calculation…”
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Multiple Sound Source Localization, Separation, and Reconstruction by Microphone Array: A DNN-Based Approach by Long Chen, Guitong Chen, Lei Huang, Yat-Sze Choy, Weize Sun

“…To improve the intelligibility of speech signals, the application of deep neural networks (DNNs) has achieved considerable success in the area of time-domain signal separation and reconstruction. In this paper, we propose a hybrid microphone array signal processing approach for the nearfield scenario that combines the beamforming technique and DNN. …”
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Multivariate Multiscale Higuchi Fractal Dimension and Its Application to Mechanical Signals by Yuxing Li, Shuai Zhang, Lili Liang, Qiyu Ding

“…The effectiveness and feasibility of MvHFD and MvmHFD were verified by simulated signal experiments and real signal experiments, in which the simulation experiments tested the stability, computational efficiency, and signal separation performance of MvHFD and MvmHFD, and the real signal experiments tested the effect of MvmHFD on the recognition of multi-channel mechanical signals. …”
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Spatial Parameter Identification for MIMO Systems in the Presence of Non-Gaussian Interference by Junlin Zhang, Zihui Shi, Yunfei Chen, Mingqian Liu

“…Reliable identification of spatial parameters for multiple-input multiple-output (MIMO) systems, such as the number of transmit antennas (NTA) and the direction of arrival (DOA), is a prerequisite for MIMO signal separation and detection. Most existing parameter estimation methods for MIMO systems only consider a single parameter in Gaussian noise. …”
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Boosting multi‐target recognition performance with multi‐input multi‐output radar‐based angular subspace projection and multi‐view deep neural network by Emre Kurtoğlu, Sabyasachi Biswas, Ali C. Gurbuz, Sevgi Zubeyde Gurbuz

“…This approach enables signal separation in the raw RDC, making possible the utilisation of deep neural networks taking the raw RF data as input or any other data representation in multi‐target scenarios. …”
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