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2016 24th European Signal Processing Conference (EUSIPCO)最新文献

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Convex super-resolution detection of lines in images 图像中线的凸超分辨率检测
2016 24th European Signal Processing Conference (EUSIPCO) Pub Date : 2016-08-29 DOI: 10.1109/EUSIPCO.2016.7760265
K. Polisano, Laurent Condat, M. Clausel, V. Perrier
{"title":"Convex super-resolution detection of lines in images","authors":"K. Polisano, Laurent Condat, M. Clausel, V. Perrier","doi":"10.1109/EUSIPCO.2016.7760265","DOIUrl":"https://doi.org/10.1109/EUSIPCO.2016.7760265","url":null,"abstract":"In this paper, we present a new convex formulation for the problem of recovering lines in degraded images. Following the recent paradigm of super-resolution, we formulate a dedicated atomic norm penalty and we solve this optimization problem by means of a primal-dual algorithm. This parsimonious model enables the reconstruction of lines from lowpass measurements, even in presence of a large amount of noise or blur. Furthermore, a Prony method performed on rows and columns of the restored image, provides a spectral estimation of the line parameters, with subpixel accuracy.","PeriodicalId":127068,"journal":{"name":"2016 24th European Signal Processing Conference (EUSIPCO)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133473903","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
Energy consumption analysis of software polar decoders on low power processors 低功耗处理器上软件极性解码器的能耗分析
2016 24th European Signal Processing Conference (EUSIPCO) Pub Date : 2016-08-29 DOI: 10.1109/EUSIPCO.2016.7760327
Adrien Cassagne, Olivier Aumage, Camille Leroux, Denis Barthou, B. Gal
{"title":"Energy consumption analysis of software polar decoders on low power processors","authors":"Adrien Cassagne, Olivier Aumage, Camille Leroux, Denis Barthou, B. Gal","doi":"10.1109/EUSIPCO.2016.7760327","DOIUrl":"https://doi.org/10.1109/EUSIPCO.2016.7760327","url":null,"abstract":"This paper presents a new dynamic and fully generic implementation of a Successive Cancellation (SC) decoder (multi-precision support and intra-/inter-frame strategy support). This fully generic SC decoder is used to perform comparisons of the different configurations in terms of throughput, latency and energy consumption. A special emphasis is given on the energy consumption on low power embedded processors for software defined radio (SDR) systems. A N=4096 code length, rate 1/2 software SC decoder consumes only 14 nJ per bit on an ARM Cortex-A57 core, while achieving 65 Mbps. Some design guidelines are given in order to adapt the configuration to the application context.","PeriodicalId":127068,"journal":{"name":"2016 24th European Signal Processing Conference (EUSIPCO)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125740555","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: 8
Compressive data aggregation on mobile wireless sensor networks for sensing in bike races 面向自行车比赛传感的移动无线传感器网络压缩数据聚合
2016 24th European Signal Processing Conference (EUSIPCO) Pub Date : 2016-08-29 DOI: 10.1109/EUSIPCO.2016.7760208
Wei-Qing Du, J. Gorce, T. Risset, M. Lauzier, A. Fraboulet
{"title":"Compressive data aggregation on mobile wireless sensor networks for sensing in bike races","authors":"Wei-Qing Du, J. Gorce, T. Risset, M. Lauzier, A. Fraboulet","doi":"10.1109/EUSIPCO.2016.7760208","DOIUrl":"https://doi.org/10.1109/EUSIPCO.2016.7760208","url":null,"abstract":"This paper presents an efficient approach for collecting data in mobile wireless sensor networks which is specifically designed to gather real-time information of bikers in a bike race. The approach employs the recent HIKOB sensors for tracking the GPS position of each bike and the problem herein addressed is to transmit this information to a collector for visualization or other processing. Our approach exploits the inherent correlation between biker motions and aggregates GPS data at sensors using compressive sensing (CS) techniques. We enforce, instead of the standard signal sparsity, a spatial sparsity prior on biker motion because of the grouping behavior (peloton) in bike races. The spatial sparsity is modeled by a graphical model and the CS-based data aggregation problem is solved using linear programming. Our approach, integrated in a multi-round opportunistic routing protocol, is validated on data generated by a bike race simulator using trajectories of motorbikes obtained from a real race, the Paris-Tours 2013.","PeriodicalId":127068,"journal":{"name":"2016 24th European Signal Processing Conference (EUSIPCO)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127822561","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
Autoregressive moving average modeling of late reverberation in the frequency domain 频域晚期混响的自回归移动平均模拟
2016 24th European Signal Processing Conference (EUSIPCO) Pub Date : 2016-08-29 DOI: 10.1109/EUSIPCO.2016.7760494
Simon Leglaive, R. Badeau, G. Richard
{"title":"Autoregressive moving average modeling of late reverberation in the frequency domain","authors":"Simon Leglaive, R. Badeau, G. Richard","doi":"10.1109/EUSIPCO.2016.7760494","DOIUrl":"https://doi.org/10.1109/EUSIPCO.2016.7760494","url":null,"abstract":"In this paper, the late part of a room response is modeled in the frequency domain as a complex Gaussian random process. The autocovariance function (ACVF) and power spectral density (PSD) are theoretically defined from the exponential decay of the late reverberation power. Furthermore we show that the ACVF and PSD are accurately parametrized by an autoregressive moving average (ARMA) model. This leads to a new generative model of late reverberation in the frequency domain. The ARMA parameters are easily estimated from the theoretical ACVF. The statistical characterization is consistent with empirical results on simulated and real data. This model could be used to incorporate priors in audio source separation and dereverberation.","PeriodicalId":127068,"journal":{"name":"2016 24th European Signal Processing Conference (EUSIPCO)","volume":"230 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114749867","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
Two and three inputs widely linear FRESH receivers for cancellation of a quasi-rectilinear interference with frequency offset 用于消除带频偏的准直线干扰的二输入和三输入宽线性FRESH接收机
2016 24th European Signal Processing Conference (EUSIPCO) Pub Date : 2016-08-29 DOI: 10.1109/EUSIPCO.2016.7760478
Rémi Chauvat, J. Delmas, P. Chevalier
{"title":"Two and three inputs widely linear FRESH receivers for cancellation of a quasi-rectilinear interference with frequency offset","authors":"Rémi Chauvat, J. Delmas, P. Chevalier","doi":"10.1109/EUSIPCO.2016.7760478","DOIUrl":"https://doi.org/10.1109/EUSIPCO.2016.7760478","url":null,"abstract":"Widely linear (WL) receivers can fulfill single antenna interference cancellation (SAIC) of one rectilinear (R) or quasi-rectilinear (QR) co-channel interference (CCI). The SAIC technology for QR signals has been shown to be less powerful than SAIC for R signals. To overcome this limitation, a SAIC/MAIC enhancement using three-inputs WL frequency-shift (FRESH) receiver has been introduced for QR signals. However, this receiver loses its efficiency for an interference having a residual frequency offset (FO) above a fraction of the baud rate. This may appear for airborne communications and it is the case for the inter-carrier interference of filter-bank based multicarrier waveforms using OQAM constellations which are candidate for 5G mobile networks. This paper extends the standard two-inputs SAIC/MAIC receiver and the three-inputs WL FRESH receiver for QR signals with FO. Analytical results and simulations are presented to study the impact of this FO on the performance of these receivers.","PeriodicalId":127068,"journal":{"name":"2016 24th European Signal Processing Conference (EUSIPCO)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126203482","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
Sparsity-enforced microwave inverse scattering using soft shrinkage thresholding 使用软收缩阈值的稀疏性微波逆散射
2016 24th European Signal Processing Conference (EUSIPCO) Pub Date : 2016-08-29 DOI: 10.1109/EUSIPCO.2016.7760268
Hidayet Zaimaga, M. Lambert
{"title":"Sparsity-enforced microwave inverse scattering using soft shrinkage thresholding","authors":"Hidayet Zaimaga, M. Lambert","doi":"10.1109/EUSIPCO.2016.7760268","DOIUrl":"https://doi.org/10.1109/EUSIPCO.2016.7760268","url":null,"abstract":"A sparse nonlinear inverse scattering problem arising in microwave imaging is analyzed and numerically solved for retrieving dielectric contrast of region of interest from measured fields. The proposed approach is motivated by a Tikhonov functional incorporating a sparsity promoting l1-penalty term. The proposed iterative algorithm of soft shrinkage type enforces the sparsity constraint at each nonlinear iteration and provides an effective reconstructions of unknown (complex) dielectric profiles. The scheme produces sharp and good reconstruction of dielectric profiles in sparse domains and keeps its convergence during the reconstruction. Numerical results present the effectiveness and accuracy of the proposed method.","PeriodicalId":127068,"journal":{"name":"2016 24th European Signal Processing Conference (EUSIPCO)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126581094","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
Text-informed speech inpainting via voice conversion 通过语音转换的文字提示语音
2016 24th European Signal Processing Conference (EUSIPCO) Pub Date : 2016-08-29 DOI: 10.1109/EUSIPCO.2016.7760374
Pierre Prablanc, A. Ozerov, Ngoc Q. K. Duong, P. Pérez
{"title":"Text-informed speech inpainting via voice conversion","authors":"Pierre Prablanc, A. Ozerov, Ngoc Q. K. Duong, P. Pérez","doi":"10.1109/EUSIPCO.2016.7760374","DOIUrl":"https://doi.org/10.1109/EUSIPCO.2016.7760374","url":null,"abstract":"The problem of speech inpainting consists in recovering some parts in a speech signal that are missing for some reasons. To our best knowledge none of the existing methods allows satisfactory inpainting of missing parts of large size such as one second and longer. In this work we address this challenging scenario. Since in the case of such long missing parts entire words can be lost, we assume that the full text uttered in the speech signal is known. This leads to a new concept of text-informed speech inpainting. To solve this problem we propose a method that is based on synthesizing the missing speech by a speech synthesizer, on modifying its vocal characteristics via a voice conversion method, and on filling in the missing part with the resulting converted speech sample. We carried subjective listening tests to compare the proposed approach with two baseline methods.","PeriodicalId":127068,"journal":{"name":"2016 24th European Signal Processing Conference (EUSIPCO)","volume":"50 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130307390","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
Impact of noise correlation on multimodality 噪声相关对多模态的影响
2016 24th European Signal Processing Conference (EUSIPCO) Pub Date : 2016-08-29 DOI: 10.1109/EUSIPCO.2016.7760237
Saloua Chlaily, P. Amblard, O. Michel, C. Jutten
{"title":"Impact of noise correlation on multimodality","authors":"Saloua Chlaily, P. Amblard, O. Michel, C. Jutten","doi":"10.1109/EUSIPCO.2016.7760237","DOIUrl":"https://doi.org/10.1109/EUSIPCO.2016.7760237","url":null,"abstract":"In this paper, we consider the problem of estimating an unknown random scalar observed by two modalities. We study two scenarios using mutual information and mean square error. In the first scenario, we consider that the noise correlation is known and examine its impact on the information content of two modalities. In the second scenario we quantify the information loss when the considered value of the noise correlation is wrong. It is shown that the noise correlation usually enhances the estimation accuracy and increases information. However, the performance declines if the noise correlation is misdefined, and the two modalities may jointly convey less information than one single modality.","PeriodicalId":127068,"journal":{"name":"2016 24th European Signal Processing Conference (EUSIPCO)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132976151","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
Multichannel music separation with deep neural networks 基于深度神经网络的多声道音乐分离
2016 24th European Signal Processing Conference (EUSIPCO) Pub Date : 2016-08-29 DOI: 10.1109/EUSIPCO.2016.7760548
Aditya Arie Nugraha, A. Liutkus, E. Vincent
{"title":"Multichannel music separation with deep neural networks","authors":"Aditya Arie Nugraha, A. Liutkus, E. Vincent","doi":"10.1109/EUSIPCO.2016.7760548","DOIUrl":"https://doi.org/10.1109/EUSIPCO.2016.7760548","url":null,"abstract":"This article addresses the problem of multichannel music separation. We propose a framework where the source spectra are estimated using deep neural networks and combined with spatial covariance matrices to encode the source spatial characteristics. The parameters are estimated in an iterative expectation-maximization fashion and used to derive a multichannel Wiener filter. We evaluate the proposed framework for the task of music separation on a large dataset. Experimental results show that the method we describe performs consistently well in separating singing voice and other instruments from realistic musical mixtures.","PeriodicalId":127068,"journal":{"name":"2016 24th European Signal Processing Conference (EUSIPCO)","volume":"307 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132635409","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: 77
Maximum likelihood estimation of a low-order building model 低阶建筑模型的最大似然估计
2016 24th European Signal Processing Conference (EUSIPCO) Pub Date : 2016-08-29 DOI: 10.1109/EUSIPCO.2016.7760339
Tahar Nabil, É. Moulines, F. Roueff, J. Jicquel, A. Girard
{"title":"Maximum likelihood estimation of a low-order building model","authors":"Tahar Nabil, É. Moulines, F. Roueff, J. Jicquel, A. Girard","doi":"10.1109/EUSIPCO.2016.7760339","DOIUrl":"https://doi.org/10.1109/EUSIPCO.2016.7760339","url":null,"abstract":"The aim of this paper is to investigate the accuracy of the estimates learned with an open loop model of a building whereas the data is actually collected in closed loop, which corresponds to the true exploitation of buildings. We propose a simple model based on an equivalent RC network whose parameters are physically interpretable. We also describe the maximum likelihood estimation of these parameters by the EM algorithm, and derive their statistical properties. The numerical experiments clearly show the potential of the method, in terms of accuracy and robustness. We emphasize the fact that the estimations are linked to the generating process for the observations, which includes the command system. For instance, the features of the building are correctly estimated if there is a significant gap between the heating and cooling setpoint.","PeriodicalId":127068,"journal":{"name":"2016 24th European Signal Processing Conference (EUSIPCO)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120979837","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
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