2017 3rd International Conference on Frontiers of Signal Processing (ICFSP)最新文献

A new interacting multiple model particle filter based ballistic missile tracking method 基于相互作用多模型粒子滤波的弹道导弹跟踪新方法

2017 3rd International Conference on Frontiers of Signal Processing (ICFSP) Pub Date : 2017-09-06 DOI: 10.1109/ICFSP.2017.8097146

Liyun Gong, Miao Yu

引用次数: 1

Online codebook modeling based background subtraction with a moving camera 基于移动摄像机的在线码本建模背景减法

2017 3rd International Conference on Frontiers of Signal Processing (ICFSP) Pub Date : 2017-09-06 DOI: 10.1109/ICFSP.2017.8097157

Liyun Gong, Miao Yu, Timothy J. Gordon

引用次数: 7

Development of crystal lattice comparison method invariant to bravais unit cell choice 晶格比较法的发展不影响bravais单元格的选择

2017 3rd International Conference on Frontiers of Signal Processing (ICFSP) Pub Date : 2017-09-01 DOI: 10.1109/ICFSP.2017.8097155

A. Shirokanev, D. Kirsh, A. Kupriyanov

引用次数: 2

Single-channel speech separation based on deep clustering with local optimization 基于局部优化深度聚类的单通道语音分离

2017 3rd International Conference on Frontiers of Signal Processing (ICFSP) Pub Date : 2017-09-01 DOI: 10.1109/ICFSP.2017.8097058

Taotao Fu, Ge Yu, Lili Guo, Yan Wang, Ji Liang

引用次数: 1

Direction finding in multipath environments using moving uniform circular arrays 使用移动均匀圆形阵列的多径环境测向

2017 3rd International Conference on Frontiers of Signal Processing (ICFSP) Pub Date : 2017-09-01 DOI: 10.1109/ICFSP.2017.8097059

Van Long Do, T. B. Nguyen, Vu Kien Dao, C. H. Nguyen

引用次数: 1

Improving peak detection by Gaussian mixture modeling of mass spectral signal 利用高斯混合模型改进质谱信号的峰检测

2017 3rd International Conference on Frontiers of Signal Processing (ICFSP) Pub Date : 2017-09-01 DOI: 10.1109/ICFSP.2017.8097057

M. Marczyk, J. Polańska, A. Polański

{"title":"Improving peak detection by Gaussian mixture modeling of mass spectral signal","authors":"M. Marczyk, J. Polańska, A. Polański","doi":"10.1109/ICFSP.2017.8097057","DOIUrl":"https://doi.org/10.1109/ICFSP.2017.8097057","url":null,"abstract":"In recent years mass spectrometry became the leading measurement technique in proteomics, giving the opportunity to construct many methods for detection of signal peaks, that are the most important elements of each spectrum. An efficient approach for detecting peaks is partitioning of mass spectrum into fragments and modeling each fragment separately using Gaussian mixture decomposition. The partitioning may be obtained using unique algorithm or any existing peak detection method. In this work two commonly used peak detection algorithms were examined, namely Cromwell and Mass Spec Wavelet. Additionally, a built-in algorithm was proposed. To show that Gaussian mixture modeling of mass spectrum can improve the peak detection performance obtained by using existing solutions, many synthetic spectra with different number of true peaks and real mass spectrometry data were analyzed. In synthetic data mixture modeling of mass spectra gave higher sensitivity and lower false discovery rate of peak detection than existing peak detection algorithms. In real data the coefficient of variation of estimated peak amplitude among biological replicates was reduced.","PeriodicalId":382413,"journal":{"name":"2017 3rd International Conference on Frontiers of Signal Processing (ICFSP)","volume":"205 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133145467","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

Polarimetrie SAR image classification based on deep belief network and superpixel segmentation 基于深度信念网络和超像素分割的极化SAR图像分类

2017 3rd International Conference on Frontiers of Signal Processing (ICFSP) Pub Date : 2017-09-01 DOI: 10.1109/ICFSP.2017.8097153

Shaojia Ge, Jianchun Lu, Hong Gu, Zeshi Yuan, W. Su

引用次数: 4

Multiple fundamental frequencies estimation approaches based on multi-scale product analysis 基于多尺度积分析的多基频估计方法

2017 3rd International Conference on Frontiers of Signal Processing (ICFSP) Pub Date : 2017-09-01 DOI: 10.1109/ICFSP.2017.8097060

Jihen Zeremdini, M. B. Messaoud, A. Bouzid

引用次数: 0

SAR interferometry, as a method of area-based geodynamic control on mineral deposits and adjacent urbanized areas SAR干涉测量作为一种基于区域的矿床及邻近城市化地区地球动力学控制方法

2017 3rd International Conference on Frontiers of Signal Processing (ICFSP) Pub Date : 2017-09-01 DOI: 10.1109/ICFSP.2017.8097147

Zhumabek Zhantayev, A. Bibossinov, A. Fremd, B. Iskakov, D. Talgarbayeva, A. Kikkarina, A. Yelisseyeva

{"title":"SAR interferometry, as a method of area-based geodynamic control on mineral deposits and adjacent urbanized areas","authors":"Zhumabek Zhantayev, A. Bibossinov, A. Fremd, B. Iskakov, D. Talgarbayeva, A. Kikkarina, A. Yelisseyeva","doi":"10.1109/ICFSP.2017.8097147","DOIUrl":"https://doi.org/10.1109/ICFSP.2017.8097147","url":null,"abstract":"As a rule, geodynamic monitoring uses complex approach and monitoring commences from the start of field exploration throughout the whole period of field exploitation. For this purpose specialised geodynamic polygons used for periodic or permanent monitoring and further study of tectonic, technogenic, physical and chemical and other processes that lead to hazardous deformations in earth core. Mineral fields are referred to a number of priority facilities. In connection with the aforementioned, there was carried out radar survey data processing by differential interferometry in the territory of the Karaganda coal basin. The maps of vertical displacements based on SAR data of interferometry were constructed and analyzed, as well as a comprehensive interpretation and comparison of displacement results with underworked territories and adjacent infrastructure aimed at increasing the detection efficiency of catastrophic subsidence of the earth's surface under the influence of technogenic factors and seismogenerating zones.","PeriodicalId":382413,"journal":{"name":"2017 3rd International Conference on Frontiers of Signal Processing (ICFSP)","volume":"5105 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133836725","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

Joint system for speech separation from speaking and non-speaking background, and de-reverberation: Application on real-world recordings 从说话和非说话背景中分离语音的联合系统，以及去混响:在真实录音中的应用

2017 3rd International Conference on Frontiers of Signal Processing (ICFSP) Pub Date : 2017-09-01 DOI: 10.1109/ICFSP.2017.8097055

Belhedi Wiem, M. B. Messaoud, A. Bouzid

{"title":"Joint system for speech separation from speaking and non-speaking background, and de-reverberation: Application on real-world recordings","authors":"Belhedi Wiem, M. B. Messaoud, A. Bouzid","doi":"10.1109/ICFSP.2017.8097055","DOIUrl":"https://doi.org/10.1109/ICFSP.2017.8097055","url":null,"abstract":"In real-life environment, the speech of interest is often correlated with different kinds of perturbation. Perturbation can be caused by speaking or non-speaking noise, or even by reverberation. This could make the speech signal auditable but not intelligible. In this case, speech cannot be exploited by other automated applications such as voice-command or speech/speaker identification and identification. Extracting a meaningful signal of good quality is a bigger challenge in monaural case. In this paper, we propose an extensible full joint system that deals with real-environment perturbations that include speaking and non-speaking background as well as reverberation. After introducing the input signal, a decision is taken on the process to opt for. The main chain blocks of the proposed system are speech denoising, speech separation and speech de-reverberation. The system operates in single channel case in a fully unsupervised manner. Furthermore, it requires minimal information about the reference signal. As the system is targeting real-time enhancement, results evaluation is conduct in terms of non-intrusive metrics in addition to intrusive metrics. The evaluation results prove the effectiveness of the proposed system in cancelling difficult noise types, in extracting desired speaker from speaking background, and in enhancing reverberated speech.","PeriodicalId":382413,"journal":{"name":"2017 3rd International Conference on Frontiers of Signal Processing (ICFSP)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132632541","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: 2