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检索条件"任意字段=18th Conference on Signal and Data Processing of Small Targets"

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Sleep Stage Classification Using EEG signals: A Empirical Wavelet Transform-Based Decomposition Approach

Sleep Stage Classification Using EEG Signals: A Empirical Wa...

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International conference on Control, Automation, Robotics and Vision (ICARCV)

作者： Rajveer Singh Lalawat Varun Bajaj Prabin Kumar Padhy Department of Electronics and Communication Engineering Indian Institute of Information Technology Design and Manufacturing Jabalpur Jabalpur India Department of Electronics and Communication Maulana Azad National Institute of Technology Bhopal Bhopal India

ISBN: (数字)9798331518493

ISBN: (纸本)9798331518509

the objective of signal processing using transformation techniques, is to accurately detect the frequency decomposition and extract small variations within the signals. Previous studies have explored various algorithms aiming to decompose signals and classify sleep stages based on EEG signals, offering valuable insights. However, there is still scope for improvement in handling highly non-stationary signals across all sleep stages. the article proposes employing spectrum partitioning from six sleep phases and the Empirical Wavelet Transform (EWT) to properly decompose extremely non-stationary EEG data. this approach uses an adaptive filter bank to control dynamic data in the frequency domain to accurately distinguish sleep stages. Our experiments demonstrate that, the Support Vector Machines (SVM) classifier outperforms Random Forest (RF) and k-Nearest Neighbors (KNN) classifiers, and it achieves notable classification accuracy for all sleep stages. this method enhances the performance of medical devices and benefits for their use in healthcare.

关键词： Support vector machines Wavelet transforms Sleep signal processing algorithms Nearest neighbor methods Feature extraction Brain modeling Electroencephalography data models Classification algorithms

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data-Driven Optimization of an Array of Steered Sub-Arrays for Enhanced Fairness in MU-MIMO

Data-Driven Optimization of an Array of Steered Sub-Arrays f...

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European conference on Antennas and Propagation, EuCAP

作者： Noud Kanters Andrés Alayón Glazunov Department of Electrical Engineering University of Twente Enschede The Netherlands Department of Science and Technology Linköping University Norrköping Campus Sweden

this paper investigates arrays of steered sub-arrays (SAs) for multi-user MIMO applications. We optimize SA steering angles based on rate-based and gain-based objective functions which naturally balance aggregate system performance and user fairness. Numerical simulations show that, compared to a full-digital array with the same number of RF-chains, rate-optimized arrays increase the array gain in small sector scenarios and compensate for low element gains in large sector scenarios. An array with 4-element SAs achieves the highest rate at all sectors at both low and high signal-to-noise ratios (SNRs). Improvements vary from 2% (120-degree sector, high SNR) to 113% (30-degree sector, low SNR). Hence, adjusting the steering angles to the long-term channel statistics yields significant rate improvements if users are confined to a small sector, without sacrificing performance if this is not the case. Similar results are obtained for gain-based optimized arrays, which is important and convenient for array design.

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Evaluation of High-Speed signal Transmission Characteristics of Self-Assembling Anisotropic Conductive Adhesives (SACA) 18

Evaluation of High-Speed Signal Transmission Characteristics...

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18th International Microsystems, Packaging, Assembly and Circuits Technology conference, IMPACT 2023

作者： Song, Eakhwan Sim, Changhoon Lee, Kyungsub Ha, Tai Woong Lee, Sanguk Kim, Jiseong Kwangwoon University Department of Electronics and Communications Engineering Seoul Korea Republic of Nopion Co. Ltd. Suwon Korea Republic of Korea Radio Promotion Association Seoul Korea Republic of Daejeon Korea Republic of

ISBN: (纸本)9798350384123

Recently, due to the increased performance and multi-functionality of electronic devices, there has been a significant surge in the demand for high-speed digital signal transmission. As a result, high-speed serial interfaces like USB (universal serial bus) and HDMI (high-definition multimedia interface) have rapidly replaced traditional parallel interfaces, facilitating high-definition video and high-capacity data transmission [1]. In order to facilitate the transmission of these high-speed signals, various standards employ miniaturized connectors and high-resolution bonding structures [2], [3]. Simultaneously, advanced semiconductor packages such as SiP (system-in-package) and 3-dimensional integrated circuits (3D-IC) have been introduced to overcome the limitations of semiconductor fabrication processes and enable increased system functionality through enhanced integration. To achieve this high-density integration, fine interconnect technologies such as copper pillar bumps, microbumps, and through silicon vias (TSVs) have been implemented, replacing conventional wirebond or C4 solder bumps [4]-[6]. these micro-interconnects have been widely adopted across different categories of systems and devices to achieve high speed and high integration, leading to the emergence of micro-bonding technologies. © 2023 IEEE.

关键词： System-in-package

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small Target Detection on Sea Surface based on Feature-Weighted Support Vector Machine

Small Target Detection on Sea Surface based on Feature-Weigh...

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IEEE International conference on signal and Image processing (ICSIP)

作者： Yaqing Chen Shijian Shen Zhiyong Lei Nanjing Research Institute of Electronics Technology Nanjing China

Because the sea clutter is greatly affected by the complex and changeable environment, it is difficult to describe its characteristics through a single amplitude statistical model. In addition, the great variety and the small radar cross section of the target on the sea surface increase the detection difficulty. this paper proposes a feature-weighted SVM algorithm, which regards the detection of small targets on the sea surface as a binary classification problem. the algorithm extracts six features from different domains of the sea clutter, calculates the weight of the features according to the contribution of the features and constructs the feature space for detection with weighted feature vectors. Experiments on IPIX data sets show that the detection method improves the detection accuracy compared with the traditional algorithm and it is helpful for sea surface monitoring.

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Detecting floating plastic marine debris using sentinel-2 data via modified infrared NDVI 18

Detecting floating plastic marine debris using sentinel-2 da...

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18th International conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2021

作者： Khetkeeree, Suphongsa Liangrocapart, Sompong Mahakorn University of Technology Physics Department Bangkok Thailand

ISBN: (纸本)9780738111278

Floating marine debris is one of the significant marine pollutions that affect many living on the globe. thanks to satellite technology, the Earth observation satellite has mostly constant frequency and wide area coverage. Moreover, some observation data are also openly and freely accessible for everyone, such as Sentinel platforms' data. However, most floating debris is difficult to observe by the above platform because it often has a smaller size than the highest spatial resolution of the Sentinel data. In this paper, we propose the method for detecting the floating marine debris via the Sentinel-2 data. the infrared normalized difference vegetation index (INDVI) was modified to increase plastic debris detection capability. the narrow near-infrared band (band 8A) was replaced by the highest near-infrared band (band 8). Two individual formulas of the modified version were proposed due to the INDVI is an empirical formula dependent on each platform sensor. the known targets of the floating plastic aggregation from two valuable experiments at Tsamakia beach, Greece, and Limassol old port, Cyprus, were used to observe and evaluate the detectable capability. the signal to Noise Ratio (SNR) was applied to indicate our method performance compared with many recent methods of floating plastic debris detection. the results show that our proposed method can be well used to detect floating aggregated plastic objects, although it has a small size than the Sentinel-2 spatial resolution. Besides, it can also observe some floating plastic patches that are difficult to notice by visible optical information. © 2021 IEEE.

关键词： Marine pollution

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Difference Frequency of EMI Shielding Solutions for SiP Module 18

Difference Frequency of EMI Shielding Solutions for SiP Modu...

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18th International Microsystems, Packaging, Assembly and Circuits Technology conference, IMPACT 2023

作者： Tsai, Mike Chiu, Ryan Lin, James Tsai, Ming-Fan Zheng, Eddie Chen, Dave Yu, Serina Chang, Karina Yang, Erico Chang, Tim Chen, J.Y. Spil / Taiwan No. 153 Sec. 3 Chung-Shan Rd. Tantzu Taichung427 Taiwan

ISBN: (纸本)9798350384123

More and more wireless connectivity device market refers to the industry that provides technologies and solutions for wireless communication between devices. this technologies including Bluetooth, Wi-Fi, 5G cellular networks, and other wireless communication standards such as Internet of things (IoT) requirement for the rise of smart homes, smart cities, and industrial automation has increased the demand for wireless connectivity solutions that can support a wide range of devices and applications. Difference wireless connectivity which means difference frequency during air transmission from product to product. Even same product had control difference working frequency to get the better data rate transmission, so the EMI (Electromagnetic Interference) is an electrical phenomenon that happen when electromagnetic waves emitted from one device interfere to another device to cause the problems including signal degradation, data loss, and function failure. To meet the electrical EMI protection requirement, the advanced SiP could integrate difference solutions such as mulit-IC, passive components and antenna design into SiP module with EMI shielding solutions to get small form factor and good EMI protection. In this paper, we proceed a test vehicle which is designed to study the difference working frequency and verify the shielding effectiveness (SE) performance by near field scan inside the shielding room. the different frequency for EMI shielding solution and study difference EMI material for to measure under frequency of KHz to GHz frequency range. Difference material for EMI shield for shielding SE perofmrance comparison and use simulation program was used to evaluate the effectiveness of EMI shielding performance. Finally, this paper will demonstrate the advanced SiP with difference EMI shielding solutions for future RF, 5G connectivity devices application. © 2023 IEEE.

关键词： signal interference

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An Intelligent Particle Filter Based Joint Probabilistic data Association Algorithm for Long-Duration Multi-Target Tracking in Clutter Environment

An Intelligent Particle Filter Based Joint Probabilistic Dat...

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IEEE International conference on Information Communication and signal processing (ICICSP)

作者： Xihao Wang Die Chen Yanru Zhao School of Mathematical Sciences University of Electronic Science and Technology of China Chengdu China

ISBN: (数字)9798350355895

ISBN: (纸本)9798350355901

the Joint Probabilistic data Association Algorithm based on Particle Filter (JPDA-PF) is used in the tracking problem of nonlinear multi-target systems in dense clutter environments. However, during long time tracking, the tracking accuracy decreases with the increase of time. Meanwhile JPDA produces a combinatorial explosion in the number of associated events as the number of targets and clutter increases, greatly increasing the computational task. In this paper, a Joint Probabilistic data Association Algorithm based on dolphin swarm particle filter (JPDA-DSPF) is proposed. Using the dolphin swarm optimization algorithm as a resampling method for particle filter can optimize the particle distribution to be closer to the region of high likelihood, and enhance the particle diversity to weaken the particle degradation phenomenon. We use an adaptive sequential approach to reduce computational costs by discarding correlated events with small probabilities. Finally, it is proved by simulation experiments that the method can effectively reduce the tracking error, inhibit the increasing trend of the error with time, effectively reduce the computation task and enhance the timeliness during multi-target encounters.

关键词： Target tracking signal processing algorithms signal processing Probabilistic logic Market research Information filters Particle filters Clutter Particle swarm optimization Dolphins

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CWA-YOLO: Rethinking the YOLOv8 Architecture at the Level of Feature Information and Applying it to Substation Equipment Detection

CWA-YOLO: Rethinking the YOLOv8 Architecture at the Level of...

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IEEE International conference on Information Communication and signal processing (ICICSP)

作者： Li Zhuyun Xu Chong Yang Yingyi Lai Jiayang Xian Qu Mai Xiaoming Ieiri Yuya Yoshie Osamu China Southern Power Grid Technology Co. Ltd. Guangzhou China Graduate School of Information Production and Systems Waseda University Fukuoka Japan BIWIN Storage Technology Company Limited Shenzhen China

ISBN: (数字)9798350355895

ISBN: (纸本)9798350355901

Substations act as bridges connecting power gener-ation with consumption and play crucial roles in electrical grids such as power energy conversion, operational dispatching, and information monitoring. With the rapid development of electrical grids in recent years, the increasing contradiction between the shortage of production staff and the growing workload of inspections has urgently necessitated intelligent recognition algorithms for the condition of indoor substation equipment. this paper proposes a novel indoor substation equipment target detection framework based on YOLOv8, aimed at addressing issues like scale variation, occlusion handling, and real-time performance optimization, thereby enhancing detection accuracy and speed in complex environments. By incorporating the ConvNeXt feature extraction network and BiFPN, combined with the Wise-IoU loss function and adding detection heads for small targets, this approach has improved the detection capabilities for multi-scale targets, particularly in recognizing minute objects. Experimental results with actual field data indicate that the proposed CWA-YOLO model outperforms existing methods in both detection accuracy and speed, with the model mAP0.5 and mAP0.5:0.95 being 0.918 and 0.623 respectively, marking improvements of 6.50% and 11.05% over the YOLOv81 model, 7.49% and 11.85% over YOLOv71, and 9.55% and 15.80% over YOLOv51.

关键词： Substations Accuracy Target recognition signal processing algorithms Object detection Production signal processing Feature extraction data models Real-time systems

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small Target Detection Method in Sea Clutter Based on Interframe Multi-feature Iteration 6

Small Target Detection Method in Sea Clutter Based on Interf...

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6th International conference on signal and Image processing, ICSIP 2021

作者： Xu, Shuwen Ma, Yitu Bai, Xiaohui Xidian University National Laboratory of Radar Signal Processing Xi'an China

ISBN: (纸本)9780738133737

For marine radar, since sea clutter is complex and dynamic, and small targets are difficult to model, the detection of floating small targets in sea clutter is always the focus and difficulty of radar target detection. the radar cross section of the floating small targets is small and the velocity is slow, so traditional detection methods have some bottlenecks, which belong to the problem of "over-clutter detection". the multi-feature-based detection method is an effective way to solve the detection of small targets on the sea surface, but traditional feature-based detection generally requires long accumulated time. Traditional scanning radar needs to take into account the surveillance space, which makes the number of accumulated pulses at each beam position restricted. It limits the application of feature detection methods to scanning radars. In this paper, aiming at the problem that the radar cannot stare at an angle for a long time in scanning mode, three features of relative average amplitude, relative Doppler peak height, and relative Doppler vector entropy are firstly extract. After that, the idea of multi-feature iteration between frames is used to update the feature values in the feature space, and then the fast convex hull algorithm is used to construct the decision region for detection. the measured data verifies that the proposed method can be well applied to scanning radar and obtains better detection performance than original methods. © 2021 IEEE.

关键词： Radar cross section

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Synthetic Aperture Radar Imaging of Moving targets for Automotive Applications

Synthetic Aperture Radar Imaging of Moving Targets for Autom...

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European Radar conference (EURAD)

作者： Masoud Farhadi Reinhard Feger Johannes Fink thomas Wagner Andreas Stelzer Institute for Communications Engineering and RF-Systems Johannes Kepler University Linz Austria Corporate Sector Research and Advance Engineering Robert Bosch GmbH Germany

ISBN: (纸本)9781665447232

Radar image formation of a moving target (MT) is of crucial importance for automotive radar applications because non-stationary objects are the most vulnerable targets around a car. Reconstructing them at their accurate locations using the synthetic aperture radar (SAR) technique would be beneficial due to the high angular resolution that can be achieved with SAR. In this paper, we propose a sub-aperture based algorithm to estimate motion parameters and compensate MTs effects on the received data of a 77-GHz radar system. Moreover, using autofocusing and beamforming methods helps us to improve the radar image quality. Finally, evaluating our sub-region image reconstruction algorithm with simulations of a scene with multiple targets shows promising results.

关键词： Image quality Image resolution Array signal processing Europe Radar imaging Apertures Radar polarimetry

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