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检索条件"任意字段=2022 3rd International Conference on Electronic Engineering and Signal Processing, EESP 2022"

共 509 条记录，以下是11-20 订阅

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Reliability Testing Technology and Equiment for Interconnection between PCB and Chips 3

Reliability Testing Technology and Equiment for Interconnect...

引用

3rd IEEE international conference on Electrical engineering, Big Data and Algorithms, EEBDA 2024

作者： He, Shilie Shi, Linlin Chen, Yiqiang Zhou, Zhenwei Jia, Hanguang Shen, Limin Northwestern Polytechnical University Xi'an China The Fifth Electronics Research Institute Ministry of Industry and Information Technology Guangzhou China Huangpu Institute of Materials Guangzhou China Department of Electrical Engineering Guangzhou Railway Polytechnic Guangzhou China

ISBN: (纸本)9798350380989

Solder joints are the nodes connecting circuit boards and chips, as well as ensuring the normal operation of electrical signals and circuit functions, and their importance is self-evident. This article mentions an electronic device that can be used to monitor the interconnection and health status of pins in circuits. The device implant lightweight diagnostic logic and test auxiliary circuits into the monitored object base FPGA. It uses the impedance characteristics introduced by solder joint failure to perform signal transformation, real-time monitoring and capture of solder joint faults are carried out, raw data are sent to acquisition terminal. The acquisition terminal analyzes, fits, and predicts the trend of feature data changes, achieving early identification and warning. This technology and equipment can be applied in testing tracking or random analysis warning of major equipment or devices. © 2024 IEEE.

关键词： Diagnostic Instruments FPGA Reliability improvement Solder Joints Testing

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SSVEP EEG signal classification model based on EEMD-FastICA-TRCA 24

SSVEP EEG signal classification model based on EEMD-FastICA-...

引用

3rd international conference on Artificial Intelligence and Intelligent Information processing, AIIIP 2024

作者： Liu, Yunfeng Zhang, Xueru Wan, Sijia Zhan, Weijian Liu, Yongming Zhao, Zhuanzhe School of Mechanical Engineering Anhui Polytechnic University Anhui Wuhu China School of Artificial Intelligence Anhui Polytechnic University Anhui Wuhu China

ISBN: (纸本)9798400707308

In order to retain as many effective signals in EEG as possible and improve the accuracy of a signal classification and the performance of the brain-computer interface system, a steady-state visual evoked potential EEG classification model combining ensemble empirical mode decomposition, fast, independent component analysis and task-related component analysis was proposed to solve the problem that noise would reduce the accuracy of signal classification and recognition. Firstly, it is proved that the proposed EEMD-FastICA noise reduction model has certain advantages over the standard noise reduction methods, and the performance of the model is verified by using the Benchmark dataset of the brain-computer interface group of Tsinghua University. On this basis, the EEMD-FastICA noise reduction model is combined with the TRCA algorithm to classify EEG signals, and the classification results are compared with other classification models. The comparison results show that under different time Windows, the classification accuracy and information transmission rate of the proposed model are higher than those of other models. Within 1.5 S, the highest classification recognition accuracy was 85.83%, and the highest ITR was 238.34 bits/min. © 2024 Copyright held by the owner/author(s).

关键词： Empirical mode decomposition

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A Digital processing Method of MSK signal Based on ADC 3

A Digital Processing Method of MSK Signal Based on ADC

引用

3rd IEEE China international Youth conference on Electrical engineering, CIYCEE 2022

作者： Lou, Hangchuan Wu, Xianglong Tu, Junyao Long, Gen Liu, Hengyang Kong, Wubin School of Electrical and Electronic Engineering Huazhong University of Science and Technology State Key Laboratory of Advanced Electromagnetic Engineering and Technology Wuhan430074 China Wuhan Maritime Communication Research Institute Wuhan430010 China

ISBN: (数字)9781665477321

ISBN: (纸本)9781665477321

A digital processing method of the minimum shift keying (MSK) excitation signal is proposed for cascaded power amplifiers with phase shift control. Through the mathematical characteristics of MSK signal, the frequency extraction of MSK excitation signal and the accurate judgment of code conversion time are realized by Analog-to-digital converter (ADC). To avoid the accumulation of errors in frequency detection, a comparator is used at the beginning of each cycle to calibrate the inverter output signal and MSK excitation signal. Compared with traditional analog method, the proposed method is realized by ADC, which has the advantages of simple structure, high precision, and high waveform reduction Simulation models of digital and analog extraction method are constructed, indicating that the method has the advantages of accurately judging the code conversion time and extracting the frequency. The method can realize the digital processing of MSK signal and generate the control signal of cascaded power amplifiers with phase shift control. © 2022 IEEE.

关键词： Power amplifiers

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Crack detection algorithm ES-YOLOX in complex backgrounds 3

Crack detection algorithm ES-YOLOX in complex backgrounds

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3rd international conference on electronic Information engineering and Data processing, EIEDP 2024

作者： Zhu, Meng Liu, Yuan Li, YanQiang Wang, Yong Du, Qian Jinan250014 China School of Information and Electrical Engineering Shandong Jianzhu University Jinan250000 China

ISBN: (纸本)9781510680531

Cracks are one of the most common damages in highway bridges, and timely detection of existing cracks is crucial for the safety of highway bridges. Targeting the issues of low crack detection accuracy and many missed detections in complex backgrounds, a new network ES-YOLOX (Embed-Shuffle-YOLOX) is proposed based on the YOLOX object detection algorithm. This method enhances the backbone network's capability for feature extraction by embedding additional CSPLayer, introducing the reconfigured ShuffleNetV2 structure, introducing depth-separable convolution to decrease both the parameter count and computational load of the network, and finally introducing the ECA attention module to make the network more concerned with crack features. Experimental results show that the proposed method increases the mAP50 value by 2.11 % and the F1 score by 2.17 %, and reduces the number of parameters and calculations by 55.8% and 62.7%. © 2024 SPIE.

关键词： Object detection

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Intelligent Love Letter Generator Based on GPT-2 Model 3

Intelligent Love Letter Generator Based on GPT-2 Model

引用

3rd international conference on electronic Communication and Artificial Intelligence, IWECAI 2022

作者： Liang, Yiwen Han, Ziqi School of Software Engineering Tongji University Shanghai200092 China College of Electronic And Information Engineering Tongji University Shanghai200092 China

ISBN: (纸本)9781665479974

The confession wall is one of the most popular virtual communities in colleges and universities. It has the functions of expressing love, information release, academic exchange and thought guidance, among which the most important is expressing love. In this paper, an intelligent love letter generator is invented using GPT-2 mode in NLP (Natural Language processing) based on the words collected from confession wall of college. In addition, emojis can be automatically selected which could match the love letter generated by the model. This smart love letter generator fits the fashion trend of contemporary young people, with a wide audience and good practical significance. © 2022 IEEE.

关键词： Natural language processing systems

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Feature extraction method of UAV-bird sound signal based on VMD decomposition and M (G) FCC 3

Feature extraction method of UAV-bird sound signal based on ...

引用

3rd international conference on electronic Communication and Artificial Intelligence, IWECAI 2022

作者： Liu, Xiaohong Li, Donghua Gou, Sichao Li, Guomin Li, Zuming Zou, Yingke Yancheng Power Supply Company State Grid China Electric Power College Nanjing Institute of Technologyline China College of Mechanical Engineering Nanjing University of Science And Technology China

ISBN: (纸本)9781665479974

To solve the problem of difficult classification of UAV and bird acoustic signals, a feature extraction method of noise based on VMD and M(G)FCC is proposed in this paper. Firstly, the ground motion signal of the target is decomposed by VMD to obtain the energy ratio between each IMF signal and the original signal;And then, get GFCC and MFCC from the IMF signal;Finally, the random forest classification algorithm is used to classify the signals, so as to realize the correct recognition of the two. © 2022 IEEE.

关键词： Feature extraction

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A distributed multi MIMO radar imaging system 3

A distributed multi MIMO radar imaging system

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3rd international conference on Computer Vision, Image and Deep Learning and international conference on Computer engineering and Applications, CVIDL and ICCEA 2022

作者： Liu, Renjun Liu, Yunqing Changchun University of Technology Electronic Science and Technology Jilin Province Changchun City China

ISBN: (纸本)9781665459112

At present, MIMO radar is more and more widely used in the field of radar imaging. With its unique multi transmit and multi receive system, after appropriate processing, the radar can be equivalent to a virtual array that can transmit and receive independently at the same time, which is equivalent to increasing the radar aperture and improving the resolution of radar imaging. However, in some cases, when the radar needs to provide high azimuth resolution images under certain conditions, the imaging range and resolution provided by a single radar may not be enough. The distributed multi MIMO radar imaging system model described in this paper is composed of multiple radars with the same system. Under a certain signal processing mode, through timing control, the static distributed multi MIMO radar can realize high-resolution object images in the imaging area at the same time. Under the above conditions, using certain data processing methods, the imaging system proposed in this paper can provide a larger imaging range and higher resolution, especially angular resolution, compared with a single radar. © 2022 IEEE.

关键词： Radar imaging

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Enhancing Convolutional Models for Indoor Radio Mapping via Ray Marching

Enhancing Convolutional Models for Indoor Radio Mapping via ...

引用

2025 IEEE international conference on Acoustics, Speech, and signal processing, ICASSP 2025

作者： Wu, Mengfan Skocaj, Marco Boban, Mate Munich Research Center Huawei Technologies Germany School of Electrical Engineering and Computer Science TU Berlin Germany

ISBN: (纸本)9798350368741

In this paper, we present an enhanced convolutional model for indoor radio map generation, focusing on the integration of a novel ray-marching feature. We describe our machine learning pipeline developed for the ICASSP 2025 signal processing Grand Challenge, specifically the First Indoor Pathloss Radio Map Prediction Challenge. Our method incorporates a ray-marching feature that, combined with a UNet architecture enhanced by dilated convolution layers, significantly improves indoor pathloss prediction accuracy. Our approach achieved a 3rd-place ranking in the challenge with a weighted RMSE of 10.33 on the test dataset. © 2025 IEEE.

关键词： feature engineering machine learning radio maps Wireless communications

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ECG signal Denoising Algorithm Based on Wavelet Transform

ECG Signal Denoising Algorithm Based on Wavelet Transform

引用

2022 international conference on signal processing and Communication Technology, SPCT 2022

作者： Zijian, Ren Hai, Zhao Northeastern University No.11 3rd Lane Wenhua Road Heping District Liaoning Shenyang110000 China

ISBN: (纸本)9781510664333

This paper introduces an optimized de-noising method based on the wavelet transform hard and soft threshold de-noising method, which is used to remove noise from electrocardiogram signals to achieve clinical high-precision diagnosis. An appropriate threshold processing method is required in the process of denoising and restoring the electrocardiogram signals carrying a certain degree of noise. However, the traditional hard and soft thresholds have serious problems such as distortion and oscillation. By using the optimized new threshold algorithm, the problem of hard and soft threshold processing can be improved to a certain extent under the condition of higher degree of signal restoration and better denoising effect. The experimental results show that with the help of the optimized algorithm in Python, the denoising and restoration of noisy electrocardiogram signals have indeed achieved better results than the traditional methods. © 2023 SPIE.

关键词： Wavelet transforms

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Weighted Median Autoregressive Graph Filters 3

Weighted Median Autoregressive Graph Filters

引用

3rd international conference on High Performance Computing and Communication engineering, HPCCE 2023

作者： Liu, Shaodian Yan, Wenxu Shuai, Wei Wang, Wenyuan School of Internet of Things Engineering Jiangnan University Wuxi214000 China

ISBN: (数字)9781510674653

ISBN: (纸本)9781510674646

The graph filter can extract the desired features from the graph signal and filter out the noise signal. Most of the graph filters proposed in the literature are linear. Autoregressive moving average (ARMA) filter is a polynomial filter. Compared to finite-impulse response (FIR) graph filters, ARMA graph filters are robust to changes in the signal and/or graph, but are still linear. In this work, we propose a weighted median autoregressive graph filter (WMAF) based on a first-order ARMA graph filter. The proposed filter is a combination of weighted median filter in the traditional signal processing field and median autoregressive filters (MAF), and can be implemented in a distributed way. Compared with linear filter and MAF, the proposed WMAF filter has better filtering effect on pulse noise. In the denoising application of real sensor network data set, the filtered signal has a better signal-to-noise ratio. © 2024 SPIE.

关键词： signal to noise ratio

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