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

共 390 条记录，以下是11-20 订阅

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Sixteenth International conference on signal processing Systems, ICSPS 2024

Sixteenth International Conference on Signal Processing Syst...

引用

16th International conference on signal processing Systems, ICSPS 2024

ISBN: (纸本)9781510689251

the proceedings contain 197 papers. the topics discussed include: variational modal decomposition based on whale optimization algorithm for vital signs detection of FMCW radar;sea surface small target detection using tri-median normalized doppler spectrum feature;a physical cluster-based passive scatterer detection method in ISAC systems;on detection of moving weak targets using MIMO continuous active sonar and Doppler filtering;design of optical testing turntable data acquisition system based on LabVIEW;AOA /TDOA location technology of weak satellite signal based on satellite-ground cooperation;bearing-crossing localization technology for UAV target based on signal characteristics;and separation and localization of multiple bat signals using frequency domain beamforming and dual-array-localization method.

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small Target Detection on Sea Surface based on Feature-Weighted Support Vector Machine 8

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

引用

8th International conference on signal and Image processing, ICSIP 2023

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

ISBN: (纸本)9798350397932

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. © 2023 IEEE.

关键词： Radar cross section

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AUDIO PROMPT TUNING FOR UNIVERSAL SOUND SEPARATION 49

AUDIO PROMPT TUNING FOR UNIVERSAL SOUND SEPARATION

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49th IEEE International conference on Acoustics, Speech, and signal processing (ICASSP)

作者： Liu, Yuzhuo Liu, Xubo Zhao, Yan Wang, Yuanyuan Xia, Rui Tain, Pingchuan Wang, Yuxuan ByteDance Inc Speech Audio & Music Intelligence SAMI Grp Beijing Peoples R China Univ Surrey Ctr Vision Speech & Signal Proc CVSSP Guildford Surrey England Tsinghua Univ Shenzhen Int Grad Sch Shenzhen Peoples R China

ISBN: (纸本)9798350344868;9798350344851

Universal sound separation (USS) is a task to separate arbitrary sounds from an audio mixture. Existing USS systems are capable of separating arbitrary sources, given a few examples of the target sources as queries. However, separating arbitrary sounds with a single system is challenging, and the robustness is not always guaranteed. In this work, we propose audio prompt tuning (APT), a simple yet effective approach to enhance existing USS systems. Specifically, APT improves the separation performance of specific sources through training a small number of prompt parameters with limited audio samples, while maintaining the generalization of the USS model by keeping its parameters frozen. We evaluate the proposed method on MUSDB18 and ESC-50 datasets. Compared with the baseline model, APT can improve the signal-to-distortion ratio performance by 0.67 dB and 2.06 dB using the full training set of two datasets. Moreover, APT with only 5 audio samples even outperforms the baseline systems utilizing full training data on the ESC-50 dataset, indicating the great potential of few-shot APT.

关键词： Sound separation audio prompt tuning few-shot learning

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An Improved YOLOv8 Target Detection Algorithm and Its Application in Tennis Ball Picking Robot 18th

An Improved YOLOv8 Target Detection Algorithm and Its Applic...

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18th International conference on Neural Networks (ISNN)

作者： Lei, Ruining Wu, Yikai Ren, Yulong Gu, Shenshen Shanghai Univ Sch Mechatron Engn & Automat 333 Nanchen Rd Shanghai 200444 Peoples R China

ISBN: (纸本)9789819743988;9789819743995

the design and development of a tennis ball pickup robot can greatly improve the efficiency of ball pickup work on tennis courts. Based on this, combined with the related research on small target recognition, we propose an improved YOLOv8 algorithm for tennis ball recognition and detection that can be deployed on embedded devices. First, GAM is introduced into the backbone network to combine global and local features to improve the perception of key information. Secondly, the feature fusion method in the neck network is improved to BiFPN, which effectively solves the problems such as scale change and improves the detection ability of small targets. Finally, the detection head of the network is extended by adding a P2 layer to make the algorithm more suitable for small target detection. In this paper, we created our own tennis ball dataset and designed detailed ablation and comparison experiments to evaluate the detection performance of the model before and after the improvement. the results show that the improved model detects effectively and accurately and outperforms the original model.

关键词： Tennis recognition data enhancement GAM BiFPN feature fusion small target detection

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AugTarget data Augmentation for Infrared small Target Detection 48

AugTarget Data Augmentation for Infrared Small Target Detect...

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48th IEEE International conference on Acoustics, Speech and signal processing, ICASSP 2023

作者： Chen, Shengjia Zhu, Jiewen Ji, Luping Pan, Hongjun Xu, Yuhao University of Electronic Science and Technology of China School of Computer Science and Engineering Chengdu611731 China Sichuan University School of Computer Science and Engineering Chengdu610065 China

ISBN: (纸本)9781728163277

Sample shortage has always been a frequently-faced problem for the machine-learning models in infrared small target detection. As one of main limitations, it is hampering the further promotion of target detection performance. In this paper, we propose a simple and effective data augmentation scheme, AugTarget, to address this shortage issue of small target samples. Our scheme mainly consists of two crucial algorithms: target augmentation and batch augmentation. the former is designed to generate sufficient targets, by random target representation. the latter is devised to diversify training samples. Moreover, the initially-generated image samples of small targets are further enriched by randomly aggregating the feature representation of different images. the experiments on public datasets demonstrate that our AugTarget could bring an obvious improvement to mean intersection over union (mIoU). Cooperated by the augmentation of our AugTarget, the state-of-the-art (SOTA) method, AGPC could even achieve a distinct performance promotion by 3.03%, 2.17% and 2.63% on MDFA, SIRST-Aug and Merged datasets, respectively. In addition, the experimental results on three baseline models also show the universality & adaptivity of AugTarget to different dataset augmentation. Our source codes are available at https://***/UESTC-nnLab/AugTarget. © 2023 IEEE.

关键词： data augmentation Infrared small target detection Target & batch augmentation

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18th International conference on Green, Pervasive, and Cloud Computing, GPC 2023

18th International Conference on Green, Pervasive, and Cloud...

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18th International conference on Green, Pervasive, and Cloud Computing, GPC 2023

ISBN: (纸本)9789819998951

the proceedings contain 39 papers. the special focus in this conference is on Green, Pervasive, and Cloud Computing. the topics include: Chinese Medical Named Entity Recognition Based on Pre-training Model;a Function Fitting System Based on Genetic Algorithm;a Rumor Detection Model Fused with User Feature Information;Design and Implementation of a Green Credit Risk Control Model Based on SecureBoost and Improved-TCA Algorithm;unsupervised Concept Drift Detection Based on Stacked Autoencoder and Page-Hinckley Test;an Industrial Robot Path Planning Method Based on Improved Whale Optimization Algorithm;intrusion Detection System Based on Adversarial Domain Adaptation Algorithm;small-Sample Coal-Rock Recognition Model Based on MFSC and Siamese Neural Network;elemental Attention Mechanism-Guided Progressive Rain Removal Algorithm;a data Security Protection Method for Deep Neural Network Model Based on Mobility and Sharing;A Method for small Object Contamination Detection of Lentinula Edodes Logs Integrating SPD-Conv and Structural Reparameterization;a Study of Sketch Drawing Process Comparation with Different Painting Experience via Eye Movements Analysis;review of Deep Learning-Based Entity Alignment Methods;VMD-AC-LSTM: An Accurate Prediction Method for Solar Irradiance;anomaly Detection of Industrial data Based on Multivariate Multi Scale Analysis;research on Script-Based Software Component Development;Integration Model of Deep Forgery Video Detection Based on rPPG and Spatiotemporal signal.

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18th International conference on Green, Pervasive, and Cloud Computing, GPC 2023

18th International Conference on Green, Pervasive, and Cloud...

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18th International conference on Green, Pervasive, and Cloud Computing, GPC 2023

ISBN: (纸本)9789819998920

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Performance Improvement in Channel-Estimated Implant Communication by Spatial Transmit Diversity and signal Pre-emphasis Technique 18th

Performance Improvement in Channel-Estimated Implant Commun...

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18th EAI International conference on Body Area Networks, BODYNETS 2024

作者： Liu, Lijia Wang, Jianqing Nagoya Institute of Technology Aichi Nagoya466-8555 Japan

ISBN: (纸本)9783031725234

Human body communication (HBC) technology in the 10–60 MHz band offers ample possibilities for high-speed and deep-implanted communications with data rates over 10 Mb/s. However, signals transmitted within the human body undergo power decay and waveform distortion, while different orientations of the implant antenna can further decrease communication performance. this study proposes a spatial transmit diversity combined with a signal pre-emphasis technique to improve bit error rate (BER) performance. First, a two-branch spatial transmit diversity is established by an anatomical human body model and MHz-band small helix/spiral antennas. then, a signal pre-processing method is applied to the on-body transmitter to counteract the channel fading and distortion. It extracts the channel response through channel estimation and adaptively alters the transmitted signal waveform, consequently deriving received signals optimized for demodulation. Finally, the effect of spatial diversity and signal pre-emphasis is evaluated by calculating the BER performance in a maximal ratio combining (MRC) simulation. the results indicate that applying pre-emphasis significantly improves the BER performance while implementing spatial transmit diversity can further enhance the signal-to-noise ratio (SNR) by 2–5 dB when the BER equals 10-3 at 20 Mb/s. © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2024.

关键词： signal to noise ratio

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Development of a Semiconductor Detector for Gamma Knife small Field Measurement 15

Development of a Semiconductor Detector for Gamma Knife Smal...

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15th International conference on signal processing Systems, ICSPS 2023

作者： Yang, Jian Liu, Wei Guo, Wenting Huang, Qiu National Institute of Measurement and Testing Technology Chengdu610021 China Bayingolin Mongolian Autonomous Prefecture Inspection and Testing Center 18# Shengguo Road Xinjiang Korla City China

ISBN: (纸本)9781510675056

Aiming at the problem of dose measurement inaccuracy due to the large volume of ionization chamber in gamma knife small field measurement, a micro-volume semiconductor detector for gamma knife dose measurement was developed. the semiconductor detector was designed with six semiconductor detectors attached to a ceramic cylinder, thus avoiding the measurement directivity defect caused by the placement of a single semiconductor detector. At the same time, it also improves the sensitivity of the entire semiconductor detector. the experimental data show that the developed gamma knife semiconductor detector has the characteristics of good angular response, high sensitivity and good stability. the output dose of gamma knife in each field is measured with the developed semiconductor detector, then the calculated field output factor is consistent with the manufacturer's factor, so the developed semiconductor detector is suitable for measuring the output dose in small field. © 2024 SPIE.

关键词： Semiconductor detectors

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Design of Human-computer Interaction System for Infrared small Target Detection 24

Design of Human-computer Interaction System for Infrared Sma...

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7th International conference on Image and Graphics processing, ICIGP 2024

作者： Kou, Renke Wang, Chunping Fu, Qiang Li, Wei Yu, Ying Feng, Changfeng Army Engineering University Shijiazhuang Campus Hebei Shijiazhuang050003 China University of Sanya School of Information & Intelligence Engineering Hainan Sanya572022 China School of Information and Electronics Beijing University of Technology Beijing10081 China

ISBN: (纸本)9798400716720

Infrared (IR) passive detection technology is widely utilized for identifying small targets over long distances, owing to its robust anti-interference capabilities and all-weather functionality. As of now, numerous IR small target detection algorithms have been publicly published. To promote research in this field, this paper first briefly introduces single IR small target detection algorithms, which are primarily categorized as model-driven and data-driven. Subsequently, the paper presents human-computer interaction (HCI) systems tailored to these two algorithm categories, incorporating a total of 20 existing model-driven algorithms and 15 data-driven algorithms, respectively. Ultimately, the paper delves into potential avenues for optimizing HCI system design. the proposed IR small target detection HCI systems not only improve user-friendliness, but also provide a benchmark platform for experimental comparison. the introduction of relevant HCI systems can be found on kourenke/GUI-system-for-IR-small-target-detection (***). © 2024 ACM.

关键词： signal detection

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