发布求助
文献互助 智能选刊 最新文献

Proceedings of the 2020 4th International Conference on Digital Signal Processing最新文献

筛选
英文 中文
Range-Doppler Reconstruction for Off-grid Target Using Frequency Agile Radar 频率捷变雷达离网目标距离-多普勒重建
Proceedings of the 2020 4th International Conference on Digital Signal Processing Pub Date : 2020-06-19 DOI: 10.1145/3408127.3408153
Deze Sun, Guoshang Zheng, Zhuo Wang
{"title":"Range-Doppler Reconstruction for Off-grid Target Using Frequency Agile Radar","authors":"Deze Sun, Guoshang Zheng, Zhuo Wang","doi":"10.1145/3408127.3408153","DOIUrl":"https://doi.org/10.1145/3408127.3408153","url":null,"abstract":"Frequency agile radars (FARs) have outstanding performance in electronic counter-countermeasures. Many compressed sensing based algorithms have been developed for range-Doppler reconstruction in FAR. However, conventional compressed sensing paradigms suffer from the off-grid (OG) issue. To address this issue, we theoretical analyze the effect of off-grid problem and develop a novel algorithm called 2MOMP to estimate range and Doppler jointly. Several simulations validate the theoretical findings and demonstrate the effectiveness of mitigating OG effect.","PeriodicalId":383401,"journal":{"name":"Proceedings of the 2020 4th International Conference on Digital Signal Processing","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121404789","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Study on Digital Signal Processing of CO Temperature Measurement of Flat Flame Based on TDLAS 基于TDLAS的平面火焰CO测温数字信号处理研究
Proceedings of the 2020 4th International Conference on Digital Signal Processing Pub Date : 2020-06-19 DOI: 10.1145/3408127.3408175
Shangwei Hu, X. Tu, Meng Li, Shuang Chen, Furong Yang
{"title":"Study on Digital Signal Processing of CO Temperature Measurement of Flat Flame Based on TDLAS","authors":"Shangwei Hu, X. Tu, Meng Li, Shuang Chen, Furong Yang","doi":"10.1145/3408127.3408175","DOIUrl":"https://doi.org/10.1145/3408127.3408175","url":null,"abstract":"Accurate real-time diagnosis of the temperature of the combustion flow field is of great significance to study the combustion mechanism, improve combustion efficiency, and reduce pollution emissions. Based on TDLAS technology, this paper uses a direct absorption two-line temperature measurement method to measure the CO temperature of a flat flame. In order to improve the influence of noise on the measurement, the arithmetic average filter, IIR Butterworth filter and FIR digital filter are analyzed and discussed. Then compare the temperature obtained from the inversion with the temperature measured by the thermocouple. The research shows that the IIR Butterworth filter designed in this paper has the best filtering performance, which can ensure that the signal is not distorted during filtering, the phase of the passband range is linear, the group delay is stable, and less processor is used. The measurement temperature is the closest to the thermocouple measurement temperature, and the relative error is 0.8%. Therefore, this paper provides a reliable digital processing scheme for the measurement of CO in a flat flame, and provides a reference for the measurement of CO in a high temperature combustion field.","PeriodicalId":383401,"journal":{"name":"Proceedings of the 2020 4th International Conference on Digital Signal Processing","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131186880","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
A Video Data Processing Method for Space Application 一种空间应用的视频数据处理方法
Proceedings of the 2020 4th International Conference on Digital Signal Processing Pub Date : 2020-06-19 DOI: 10.1145/3408127.3408147
Hongtao Wang, Xinhua Li, Shusheng Wang
{"title":"A Video Data Processing Method for Space Application","authors":"Hongtao Wang, Xinhua Li, Shusheng Wang","doi":"10.1145/3408127.3408147","DOIUrl":"https://doi.org/10.1145/3408127.3408147","url":null,"abstract":"With the continuous development of space science, the transmission of audio and video data in spatial data transmission system becomes more and more important. Aiming at the specific application requirements of video data transmission of aerospace equipment, this paper proposes a more general processing algorithm based on FPGA. Compared with the general processor platform implementation such as DSP, the computing speed and flexibility have been greatly improved. In addition, on the basis of summarizing the experience of engineering development, a method of FPGA co-simulation using MATLAB is introduced. This method facilitates designers to make early revision of design projects by using the calculation function and visual simulation function of MATLAB.","PeriodicalId":383401,"journal":{"name":"Proceedings of the 2020 4th International Conference on Digital Signal Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130571197","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Study on Radar Target Detection Based on Broad Learning System 基于广义学习系统的雷达目标检测研究
Proceedings of the 2020 4th International Conference on Digital Signal Processing Pub Date : 2020-06-19 DOI: 10.1145/3408127.3408164
Bo Li, Jun Tang, S. Ouyang, Li Wang
{"title":"A Study on Radar Target Detection Based on Broad Learning System","authors":"Bo Li, Jun Tang, S. Ouyang, Li Wang","doi":"10.1145/3408127.3408164","DOIUrl":"https://doi.org/10.1145/3408127.3408164","url":null,"abstract":"Target detection is one of the most important tasks of radar. Statistical signal processing methods for target detection have made several achievements; meanwhile, neural network-based methods have also received increasing attention. The newly proposed broad learning system (BLS) is an effective and efficient incremental learning system without deep architecture, and it has been successfully applied to the classification problem. In this article, the BLS is applied for radar target detection. We design a BLS target detector using the incremental learning algorithm, and it's very attractive that the BLS detector shows a better performance in the experiment by comparison with the typical detectors.","PeriodicalId":383401,"journal":{"name":"Proceedings of the 2020 4th International Conference on Digital Signal Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130642961","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Research on Big Data Parallel Processing Platform Based on Postal Industry 基于邮政行业的大数据并行处理平台研究
Proceedings of the 2020 4th International Conference on Digital Signal Processing Pub Date : 2020-06-19 DOI: 10.1145/3408127.3408180
P. Yang, G. Guo
{"title":"Research on Big Data Parallel Processing Platform Based on Postal Industry","authors":"P. Yang, G. Guo","doi":"10.1145/3408127.3408180","DOIUrl":"https://doi.org/10.1145/3408127.3408180","url":null,"abstract":"With the development of cloud computing, big data, and the Internet of Things, for the data collection and daily drama of the postal express industry, in the face of such a large-scale data set, the traditional storage and calculation related theories and methods can no longer meet the massive and multi-source access and processing of heterogeneous data. The article analyzes the characteristics of postal data, focuses on the Hadoop and Spark platform architectures, and compares the performance differences between the two platforms through experiments. At the same time, according to the characteristics of Hadoop and Spark big data platforms, they learn from each other's strengths and apply them to different stages of the postal big data system.","PeriodicalId":383401,"journal":{"name":"Proceedings of the 2020 4th International Conference on Digital Signal Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129050023","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Eye Tracking in Driving Environment Based on Multichannel Convolutional Neural Network 基于多通道卷积神经网络的驾驶环境眼动追踪
Proceedings of the 2020 4th International Conference on Digital Signal Processing Pub Date : 2020-06-19 DOI: 10.1145/3408127.3408179
Xiaolei Cha, Xiaohui Yang, Yingji Zhang, Zhiquan Feng, Tao Xu, Xue Fan
{"title":"Eye Tracking in Driving Environment Based on Multichannel Convolutional Neural Network","authors":"Xiaolei Cha, Xiaohui Yang, Yingji Zhang, Zhiquan Feng, Tao Xu, Xue Fan","doi":"10.1145/3408127.3408179","DOIUrl":"https://doi.org/10.1145/3408127.3408179","url":null,"abstract":"Gaze is the most important way for human to obtain information from the outside world, and it is the most direct and significant cue to analysis human behavior and intention. In driving environment, eye tracking is usually applied to model driver's fixations and gaze allocations, which is important in advanced driver assistance system (ADAS). In this paper, we have proposed a new eye tracking method in driving environment, which is based on multichannel convolutional neural network. Firstly, we establish the dataset for driver's eye tracking, which includes the left eye region image, the right eye region image and the face region image. After that, the multi-channel convolutional neural network is training using the dataset. Finally, the driver's gaze zone will be estimated using the pre-trained network. Experimental results show that the accuracy of the proposed method is 94.60% for seven gaze zone estimation, and it can be used in ADAS to analysis the driver's behavior and detect driver distraction.","PeriodicalId":383401,"journal":{"name":"Proceedings of the 2020 4th International Conference on Digital Signal Processing","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128591125","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Dial/Hybrid Cascade 3DResUNet for Liver and Tumor Segmentation Dial/Hybrid级联3DResUNet用于肝脏和肿瘤分割
Proceedings of the 2020 4th International Conference on Digital Signal Processing Pub Date : 2020-06-19 DOI: 10.1145/3408127.3408201
C. Zhang, Danni Ai, Chengcheng Feng, Jingfan Fan, Hong Song, Jian Yang
{"title":"Dial/Hybrid Cascade 3DResUNet for Liver and Tumor Segmentation","authors":"C. Zhang, Danni Ai, Chengcheng Feng, Jingfan Fan, Hong Song, Jian Yang","doi":"10.1145/3408127.3408201","DOIUrl":"https://doi.org/10.1145/3408127.3408201","url":null,"abstract":"Liver tumor segmentation is an important step in diagnosis of liver cancer. In this work, a cascaded fully convolutional network (FCN) is proposed based on improved 3DResUNet for automatic segmentation of liver and liver tumors. The first FCN is trained to segment the liver as region of interest (ROI) input for the second FCN, which solely segment the tumor from the predicted liver region. Based on 3DResUNet, a Dial-3DResUNet is designed for liver segmentation which combines hybrid dilated convolution to capture global features, a Hybrid-3DResUNet is developed for tumor segmentation, the model consists of Hybrid-3D convolution to effectively extract 3D features while greatly reducing the amount of parameters and decreasing the difficulty of model optimization and the risk of overfitting. Ablation study is conducted on magnetic resonance (MR) data provided by the Chinese PLA General Hospital to demonstrate the effectiveness of the Dial/Hybrid-3DResUNet. In addition, we evaluate our model on 3DIRCADb dataset and achieved a dice global score of 0.958 and 0.742 on liver and liver tumor, respectively.","PeriodicalId":383401,"journal":{"name":"Proceedings of the 2020 4th International Conference on Digital Signal Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128730982","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Rao and Wald Tests for Distributed Target Detection in Compound-Gaussian Clutter with Gamma Texture 具有Gamma纹理的复合高斯杂波中分布式目标检测的Rao和Wald测试
Proceedings of the 2020 4th International Conference on Digital Signal Processing Pub Date : 2020-06-19 DOI: 10.1145/3408127.3408142
Sha Liu, Xinyu Zhang
{"title":"Rao and Wald Tests for Distributed Target Detection in Compound-Gaussian Clutter with Gamma Texture","authors":"Sha Liu, Xinyu Zhang","doi":"10.1145/3408127.3408142","DOIUrl":"https://doi.org/10.1145/3408127.3408142","url":null,"abstract":"We focus on the problem of detecting a distributed target in compound-Gaussian clutter, where the texture is a random variable with Gamma distribution. The Rao and Wald tests are devised by using the two-step method: in the first step, the Rao and Wald tests are designed by assuming that the texture and covariance matrix structure are known; in the second step, the maximum a posterior probability estimate of clutter texture and the fixed point estimate of covariance matrix structure are used to replace the known texture and covariance matrix in the tests derived in the first step, respectively. The effectiveness of the proposed detectors is verified by using simulated and real data.","PeriodicalId":383401,"journal":{"name":"Proceedings of the 2020 4th International Conference on Digital Signal Processing","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125115072","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Manifold Separation Based DOA Estimation Using Fourth-order Cumulant 基于流形分离的四阶累积量DOA估计
Proceedings of the 2020 4th International Conference on Digital Signal Processing Pub Date : 2020-06-19 DOI: 10.1145/3408127.3408144
Yaxing Yue, Yougen Xu, Zhiwen Liu
{"title":"Manifold Separation Based DOA Estimation Using Fourth-order Cumulant","authors":"Yaxing Yue, Yougen Xu, Zhiwen Liu","doi":"10.1145/3408127.3408144","DOIUrl":"https://doi.org/10.1145/3408127.3408144","url":null,"abstract":"Direction-of-arrival estimation of non-Gaussian signals is studied in this paper by incorporating fourth-order cumulant with an array of arbitrary configurations. The fourth-order cumulant based closed form polynomial coefficients have been provided. The corresponding higher-order (more than fourth-order) statistics based method can also be derived similarly. The computational complexity analysis is also given. Simulation results are included to illustrate the performance of the proposed method.","PeriodicalId":383401,"journal":{"name":"Proceedings of the 2020 4th International Conference on Digital Signal Processing","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123976619","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Optimization of Signal Processing Method for Turbulence Level Measurement Test in Wind Tunnels 风洞湍流度测量试验信号处理方法优化
Proceedings of the 2020 4th International Conference on Digital Signal Processing Pub Date : 2020-06-19 DOI: 10.1145/3408127.3408184
Yufeng Du, Siyuan Ren, Xunnian Wang
{"title":"Optimization of Signal Processing Method for Turbulence Level Measurement Test in Wind Tunnels","authors":"Yufeng Du, Siyuan Ren, Xunnian Wang","doi":"10.1145/3408127.3408184","DOIUrl":"https://doi.org/10.1145/3408127.3408184","url":null,"abstract":"Research on signal filtering method of turbulence level measurement in compressible fluid using hot-wire-anemometry in high speed wind tunnels is carried out to meet requirements of evaluation of flow quality with high accuracy. Low pass filter was used directly to process the signal of output voltage fluctuation of hot-wire anemometer in the existing measurement technique. However, there is strong spatial electromagnetic radiation (SER) interference in the test section of probe calibration wind tunnel after reconstruction, which leads to large fluctuation amplitude of output voltage of hot-wire anemometer, unreasonable values of turbulence level results (over 2 percent) and small goodness of fit (below 0.9), and these problems cannot be solved by the existing low pass filter. In order to solve the problems mentioned before, adaptive band-stop filtering method is used to improve signal processing results. Turbulence level measurement experiments are carried out with Mach number varied from 0.3 to 0.5 and the improved signal processing method is used for filtration of output voltage fluctuation of hot-wire anemometer. The results show that turbulence level is reasonable (0.3%~0.4%) and goodness of fit is large (over 0.99), which verify the feasibility of application of adaptive band-stop filtering method to signal processing of output voltage fluctuation of hot-wire anemometer.","PeriodicalId":383401,"journal":{"name":"Proceedings of the 2020 4th International Conference on Digital Signal Processing","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126272266","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信
小红书