International Conference on Digital Signal Processing proceedings : DSP. International Conference on Digital Signal Processing最新文献

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Research on Digital Animation Performance of Guanzhong Architectural Stone Carving 关中建筑石雕数字动画表演研究
Peng Chen, Yuxiao Liu
{"title":"Research on Digital Animation Performance of Guanzhong Architectural Stone Carving","authors":"Peng Chen, Yuxiao Liu","doi":"10.1145/3316551.3316578","DOIUrl":"https://doi.org/10.1145/3316551.3316578","url":null,"abstract":"","PeriodicalId":88900,"journal":{"name":"International Conference on Digital Signal Processing proceedings : DSP. International Conference on Digital Signal Processing","volume":"161 1","pages":"22-26"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73453645","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
Fast Auto-focusing in Dual-wavelength Digital Holography Using Critical Sampling 基于临界采样的双波长数字全息快速自动对焦
Xiaoxin Xie, Z. Zhong
{"title":"Fast Auto-focusing in Dual-wavelength Digital Holography Using Critical Sampling","authors":"Xiaoxin Xie, Z. Zhong","doi":"10.1145/3316551.3316562","DOIUrl":"https://doi.org/10.1145/3316551.3316562","url":null,"abstract":"","PeriodicalId":88900,"journal":{"name":"International Conference on Digital Signal Processing proceedings : DSP. International Conference on Digital Signal Processing","volume":"37 1","pages":"128-132"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79183437","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
Comb Aliasing Rejection Improvement Using Modified Combs and Combs of Different Lengths 改进梳子和不同长度梳子抗混叠性能
G. Jovanovic-Dolecek
{"title":"Comb Aliasing Rejection Improvement Using Modified Combs and Combs of Different Lengths","authors":"G. Jovanovic-Dolecek","doi":"10.1109/ICDSP.2018.8631836","DOIUrl":"https://doi.org/10.1109/ICDSP.2018.8631836","url":null,"abstract":"","PeriodicalId":88900,"journal":{"name":"International Conference on Digital Signal Processing proceedings : DSP. International Conference on Digital Signal Processing","volume":"29 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80486059","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
Image Denoising with Strong Noise Base on Curvature Filters 基于曲率滤波器的强噪声图像去噪
Cheng Tang, Jianlong Xu, Chaogeng Huang, Zhiguang Zhou
{"title":"Image Denoising with Strong Noise Base on Curvature Filters","authors":"Cheng Tang, Jianlong Xu, Chaogeng Huang, Zhiguang Zhou","doi":"10.1109/ICDSP.2018.8631605","DOIUrl":"https://doi.org/10.1109/ICDSP.2018.8631605","url":null,"abstract":"","PeriodicalId":88900,"journal":{"name":"International Conference on Digital Signal Processing proceedings : DSP. International Conference on Digital Signal Processing","volume":"4 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79469146","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
Target Spectral Lines Separation Based on Maximum Likelihood Method 基于极大似然法的目标光谱线分离
Ying-ying Ding, Fa-jiang Shen, F. Yuan
{"title":"Target Spectral Lines Separation Based on Maximum Likelihood Method","authors":"Ying-ying Ding, Fa-jiang Shen, F. Yuan","doi":"10.1109/ICDSP.2018.8631875","DOIUrl":"https://doi.org/10.1109/ICDSP.2018.8631875","url":null,"abstract":"","PeriodicalId":88900,"journal":{"name":"International Conference on Digital Signal Processing proceedings : DSP. International Conference on Digital Signal Processing","volume":"22 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76524733","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 Multiuser Collaborative Strategy for MI-BCI System MI-BCI系统的多用户协同策略
Yijie Zhou, Bin Gu, Tingfei Dai, Zhongpeng Wang, Xizi Song, Minpeng Xu, Feng He, Dong Ming
{"title":"A Multiuser Collaborative Strategy for MI-BCI System","authors":"Yijie Zhou, Bin Gu, Tingfei Dai, Zhongpeng Wang, Xizi Song, Minpeng Xu, Feng He, Dong Ming","doi":"10.1109/ICDSP.2018.8631864","DOIUrl":"https://doi.org/10.1109/ICDSP.2018.8631864","url":null,"abstract":"","PeriodicalId":88900,"journal":{"name":"International Conference on Digital Signal Processing proceedings : DSP. International Conference on Digital Signal Processing","volume":"20 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84667562","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 novel method for suppression of motion artifacts from the seismocardiogram signal 一种抑制心电地震信号运动伪影的新方法
P. Jain, A. Tiwari
{"title":"A novel method for suppression of motion artifacts from the seismocardiogram signal","authors":"P. Jain, A. Tiwari","doi":"10.1109/ICDSP.2016.7868504","DOIUrl":"https://doi.org/10.1109/ICDSP.2016.7868504","url":null,"abstract":"Seismocardiography (SCG) measures the precordial vibrations using a sensor called accelerometer, which is of small size and low weight. These features support better attachment of it to the subject's body and hence get less affected by the slow motion of the subject. However, noise generated due to the footsteps, while walking, contaminates the SCG signal. Therefore, in this paper, a novel method is proposed to remove these contaminations from the SCG signal. A three-axis accelerometer was attached to the chest wall such that heart sound components are reflected in the z-axis while the motion noise due to footstep will be seen in the x-axis. To remove the noise components from the heart signal (z-axis), the location of footsteps from the x-axis are identified and the corresponding components from the z-axis are removed. After noise removal fundamental heart sounds (FHS), S1 and S2, are identified using Otsu's threshold method. The obtained results show that the proposed algorithm outperforms the state-of-the-art methods. It efficiently removes most of the contamination due to footsteps and identifies the heart sound components.","PeriodicalId":88900,"journal":{"name":"International Conference on Digital Signal Processing proceedings : DSP. International Conference on Digital Signal Processing","volume":"56 1","pages":"6-10"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85684142","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: 10
An adaptive method for shrinking of wavelet coefficients for phonocardiogram denoising 心音图去噪中小波系数的自适应缩减方法
P. Jain, A. Tiwari
{"title":"An adaptive method for shrinking of wavelet coefficients for phonocardiogram denoising","authors":"P. Jain, A. Tiwari","doi":"10.1109/ICDSP.2016.7868503","DOIUrl":"https://doi.org/10.1109/ICDSP.2016.7868503","url":null,"abstract":"Noise suppression from the phonocardiogram (PCG) signal is important to improve the diagnostic efficiency. For the PCG signal, Discrete Wavelet Transform (DWT) based denoising method has been used extensively due to its good performance. However, the performance of this method depends on the threshold value and the way to apply it on the wavelet coefficients. Therefore, in this paper, an adaptive method is proposed to estimate the threshold value for the shrinking of the wavelet coefficients of the PCG signal. For this purpose, a new statistical parameter is obtained by incorporating medical domain knowledge about the PCG. The threshold value is estimated based on the statistical analysis of the wavelet coefficients and the present level of noise. Further, to overcome the issues related to existing threshold functions, soft and hard, new threshold functions, mid and non-linear mid are presented. The proposed method is applied to the PCG signal contaminated with simulated white Gaussian noise, red noise, and pink noise. The obtained results of the proposed method are compared with the results of state-of-the-art methods and they show the superiority of the proposed method.","PeriodicalId":88900,"journal":{"name":"International Conference on Digital Signal Processing proceedings : DSP. International Conference on Digital Signal Processing","volume":"4 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74562128","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: 7
Effect of pole-radius in a piloted adaptive notch filter 导频自适应陷波滤波器中极点半径的影响
Dinesh Kumar Chobey, Y. Lim
{"title":"Effect of pole-radius in a piloted adaptive notch filter","authors":"Dinesh Kumar Chobey, Y. Lim","doi":"10.1109/ICDSP.2016.7868632","DOIUrl":"https://doi.org/10.1109/ICDSP.2016.7868632","url":null,"abstract":"In this paper, we have presented a detailed analysis of pole position approximation for pilot notches to understand its overall effect on steering direction determination and convergence of the notch filter. We have introduced an improved piloted adaptive notch filter with transient suppression and a higher probability of correct steering direction. The concept of variable pole-radius has been employed to significantly reduce the transient effect and improving the directional properties of the notch. Computer simulations demonstrate the excellent performance of the variable-pole radius piloted notch filter to significantly outperform the traditional piloted notch filter with respect to the speed of convergence and steady-state mean square error (MSE).","PeriodicalId":88900,"journal":{"name":"International Conference on Digital Signal Processing proceedings : DSP. International Conference on Digital Signal Processing","volume":"71 1","pages":"618-622"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74033240","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
Low bit rate audio coder based on DRA 基于DRA的低比特率音频编码器
Jianxin Yan, Lei Wang
{"title":"Low bit rate audio coder based on DRA","authors":"Jianxin Yan, Lei Wang","doi":"10.1109/ICDSP.2016.7868558","DOIUrl":"https://doi.org/10.1109/ICDSP.2016.7868558","url":null,"abstract":"","PeriodicalId":88900,"journal":{"name":"International Conference on Digital Signal Processing proceedings : DSP. International Conference on Digital Signal Processing","volume":"66 5 1","pages":"262-265"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73610731","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
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