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2019 27th European Signal Processing Conference (EUSIPCO)最新文献

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An EM Algorithm for Joint Dual-Speaker Separation and Dereverberation 一种联合双扬声器分离与去噪的EM算法
2019 27th European Signal Processing Conference (EUSIPCO) Pub Date : 2019-09-01 DOI: 10.23919/EUSIPCO.2019.8902988
N. Cohen, G. Hazan, Boaz Schwartz, S. Gannot
{"title":"An EM Algorithm for Joint Dual-Speaker Separation and Dereverberation","authors":"N. Cohen, G. Hazan, Boaz Schwartz, S. Gannot","doi":"10.23919/EUSIPCO.2019.8902988","DOIUrl":"https://doi.org/10.23919/EUSIPCO.2019.8902988","url":null,"abstract":"The scenario of a mixture of two speakers captured by a microphone array in a noisy and reverberant environment is considered. If the problems of source separation and dereverberation are treated separately, performance degradation may result. It is well-known that the performance of blind source separation (BSS) algorithms degrades in the presence of reverberation, unless reverberation effects are properly addressed (leading to the so-called convolutive BSS algorithms). Similarly, the performance of common dereverberation algorithms will severely degrade if an interference signal is also captured by the same microphone array. The aim of the proposed method is to jointly separate and dereverberate the two speech sources, by extending the Kalman expectation-maximization for dereverberation (KEMD) algorithm, previously proposed by the authors. A statistical model is attributed to this scenario, using the convolutive transfer function (CTF) approximation, and the expectation-maximization (EM) scheme is applied to obtain a maximum likelihood (ML) estimate of the parameters. In the expectation step, the separated clean signals are extracted from the observed data by the application of a Kalman Filter, utilizing the parameters that were estimated in the previous iteration. The maximization step updates the parameters estimation according to the Estep output. Simulation results shows that the proposed method improves both the separation of the signals and their overall quality.","PeriodicalId":319233,"journal":{"name":"2019 27th European Signal Processing Conference (EUSIPCO)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122215823","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
Heterogeneous Network Localization with a Distributed Phased Array Composed of Cooperative Vehicles 协同车辆组成的分布式相控阵异构网络定位
2019 27th European Signal Processing Conference (EUSIPCO) Pub Date : 2019-09-01 DOI: 10.23919/EUSIPCO.2019.8902545
Siwei Zhang, R. Pöhlmann, A. Dammann
{"title":"Heterogeneous Network Localization with a Distributed Phased Array Composed of Cooperative Vehicles","authors":"Siwei Zhang, R. Pöhlmann, A. Dammann","doi":"10.23919/EUSIPCO.2019.8902545","DOIUrl":"https://doi.org/10.23919/EUSIPCO.2019.8902545","url":null,"abstract":"The emerging 5G technology provides direct data transmission, precise synchronization and localization for future autonomous vehicles. These vehicles are coupled in certain groups and drive simultaneously to enhance the road capacity and energy efficiency. The estimation of formation, i.e. the position of each individual vehicle w.r.t. the group, from the 5G signal is precise enough, so that the antennas deployed on multiple vehicles can be collectively considered as a distributed virtual antenna array. Non-cooperative entities, e.g. 5G incompatible vehicles, pedestrians or other road users, with radio transmissions according to a previous standard, can be precisely localized relative to the formation by distributed near-field array processing. By jointly locating the targets, the formation estimate of the 5G enabled vehicles is further improved.","PeriodicalId":319233,"journal":{"name":"2019 27th European Signal Processing Conference (EUSIPCO)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114239645","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 Least Squares Narrowband DOA Estimator with Robustness Against Phase Wrapping 具有抗相位包裹鲁棒性的最小二乘窄带DOA估计
2019 27th European Signal Processing Conference (EUSIPCO) Pub Date : 2019-09-01 DOI: 10.23919/EUSIPCO.2019.8902551
Tobias Kabzinski, Emanuël Habets
{"title":"A Least Squares Narrowband DOA Estimator with Robustness Against Phase Wrapping","authors":"Tobias Kabzinski, Emanuël Habets","doi":"10.23919/EUSIPCO.2019.8902551","DOIUrl":"https://doi.org/10.23919/EUSIPCO.2019.8902551","url":null,"abstract":"Narrowband direction-of-arrival (DOA) estimates are commonly used for source localization, parametric spatial audio coding, and directional filtering. As previously shown, a linear least squares direction estimate can be obtained by minimizing the difference of expected and observed inter-microphone phase differences. In this work, it is shown that phase wrapping induces severe estimation errors especially at frequencies just below spatial aliasing frequencies and in low signal-to-noise ratios. A cost function to mitigate the influence of phase wrapping errors on the DOA estimation is proposed. Even though the proposed cost function is nonlinear, it is shown that one iteration of a gradient descent method with proper initialization provides a large improvement when compared to the linear least squares solution.","PeriodicalId":319233,"journal":{"name":"2019 27th European Signal Processing Conference (EUSIPCO)","volume":"42 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120904028","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
A Low-Computation-Cycle Design of Input-Decimation Technique for RIDFT Algorithm RIDFT算法输入抽取技术的低计算周期设计
2019 27th European Signal Processing Conference (EUSIPCO) Pub Date : 2019-09-01 DOI: 10.23919/EUSIPCO.2019.8902702
Chih-Feng Wu, Chun-Hung Chen, M. Shiue
{"title":"A Low-Computation-Cycle Design of Input-Decimation Technique for RIDFT Algorithm","authors":"Chih-Feng Wu, Chun-Hung Chen, M. Shiue","doi":"10.23919/EUSIPCO.2019.8902702","DOIUrl":"https://doi.org/10.23919/EUSIPCO.2019.8902702","url":null,"abstract":"In this paper, a low-computation-cycle and energy-efficient design of input-decimation technique for the recursive inverse discrete Fourier transform (RIDFT) algorithm is proposed for the high-speed broadband communication systems. It is crucial that the input-decimation technique is presented to decrease the number of input sequences for the recursive filter so that the computation cycle of RIDFT can be shortened to meet the computing time requirement (3.6 μs). Therefore, the input-decimation RIDFT algorithm is able to carry out at least 55.5% reduction of the total computation cycles compared with the considered algorithms. Holding the advantages of input-decimation technique, the computational complexities of the real-multiplication and -addition are reduced to 41.3% and 22.2%, respectively. Finally, the physical implementation results show that the core area is 0.37× 0.37mm2 with 0.18 μm CMOS process. The power consumption is 5.16 mW with the supply voltage of 1.8 V and the operating clock of 40 MHz. The proposed design can achieve 258 million of computational efficiency per unit area (CEUA) and really outperform the previous works.","PeriodicalId":319233,"journal":{"name":"2019 27th European Signal Processing Conference (EUSIPCO)","volume":"224 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115650514","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
Acoustic Source Position Estimation Based On Multi-Feature Gaussian Processes 基于多特征高斯过程的声源位置估计
2019 27th European Signal Processing Conference (EUSIPCO) Pub Date : 2019-09-01 DOI: 10.23919/EUSIPCO.2019.8903035
Andreas Brendel, I. Altmann, Walter Kellermann
{"title":"Acoustic Source Position Estimation Based On Multi-Feature Gaussian Processes","authors":"Andreas Brendel, I. Altmann, Walter Kellermann","doi":"10.23919/EUSIPCO.2019.8903035","DOIUrl":"https://doi.org/10.23919/EUSIPCO.2019.8903035","url":null,"abstract":"Gaussian Processes, representing a Bayesian frame-work for regression, were already previously shown to allow effective range estimation in highly reverberant and noisy scenarios from a single pair of microphones when using the Coherent-to-Diffuse Power Ratio as a feature. In this work we investigate how Gaussian Process regression can jointly estimate range and Direction of Arrival by using the Coherent-to-Diffuse Power Ratio and an additional Direction of Arrival estimation feature (e.g., MUSIC) to achieve an estimate of the source position, based on a single concentrated array requiring only two sensors as a minimum.","PeriodicalId":319233,"journal":{"name":"2019 27th European Signal Processing Conference (EUSIPCO)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116642280","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: 4
MWF-based speech dereverberation with a local microphone array and an external microphone 基于mwf的本地麦克风阵列和外部麦克风的语音去混响
2019 27th European Signal Processing Conference (EUSIPCO) Pub Date : 2019-09-01 DOI: 10.23919/EUSIPCO.2019.8902951
Randall Ali, T. Waterschoot, M. Moonen
{"title":"MWF-based speech dereverberation with a local microphone array and an external microphone","authors":"Randall Ali, T. Waterschoot, M. Moonen","doi":"10.23919/EUSIPCO.2019.8902951","DOIUrl":"https://doi.org/10.23919/EUSIPCO.2019.8902951","url":null,"abstract":"A method for estimating the relevant quantities in a multi-channel Wiener filter (MWF) for speech dereverberation is proposed for a microphone system consisting of a local microphone array (LMA) and a single external microphone (XM). Typically these MWF quantities can be estimated by considering pre-whitened correlation matrices with a dimension equal to the number of microphones in the system. By following another procedure involving a pre-whitening-transformation operation, it will be demonstrated that when a priori knowledge of the relative transfer function (RTF) vector pertaining to only the LMA is available and when the reverberant component of the signals received by the LMA is uncorrelated with that of the XM, the MWF quantities may be alternatively estimated from a 2 × 2 matrix. Simulations confirm that using such an estimate results in a similar performance to that obtained by using the higher-dimensional correlation matrix.","PeriodicalId":319233,"journal":{"name":"2019 27th European Signal Processing Conference (EUSIPCO)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124985108","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
EUSIPCO 2019 Technical Program Committee EUSIPCO 2019技术计划委员会
2019 27th European Signal Processing Conference (EUSIPCO) Pub Date : 2019-09-01 DOI: 10.23919/eusipco.2019.8902641
{"title":"EUSIPCO 2019 Technical Program Committee","authors":"","doi":"10.23919/eusipco.2019.8902641","DOIUrl":"https://doi.org/10.23919/eusipco.2019.8902641","url":null,"abstract":"","PeriodicalId":319233,"journal":{"name":"2019 27th European Signal Processing Conference (EUSIPCO)","volume":"119 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125211289","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
Direct Localization by Partly Calibrated Arrays: A Relaxed Maximum Likelihood Solution 部分校准阵列的直接定位:一个松弛的最大似然解
2019 27th European Signal Processing Conference (EUSIPCO) Pub Date : 2019-09-01 DOI: 10.23919/EUSIPCO.2019.8902750
A. Adler, M. Wax
{"title":"Direct Localization by Partly Calibrated Arrays: A Relaxed Maximum Likelihood Solution","authors":"A. Adler, M. Wax","doi":"10.23919/EUSIPCO.2019.8902750","DOIUrl":"https://doi.org/10.23919/EUSIPCO.2019.8902750","url":null,"abstract":"We present a novel relaxed maximum likelihood solution to the problem of direct localization of multiple narrow-band sources by partly calibrated arrays, i.e., arrays composed of fully calibrated subarrays yet lacking inter-array calibration. The proposed solution is based on eliminating analytically all the nuisance parameters in the problem, thus reducing the likelihood function to a maximization problem involving only the location of the sources. The performance of the solution is demonstrated via simulations.","PeriodicalId":319233,"journal":{"name":"2019 27th European Signal Processing Conference (EUSIPCO)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122475103","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: 6
Modified U-Net for Automatic Brain Tumor Regions Segmentation 基于改进U-Net的脑肿瘤区域自动分割
2019 27th European Signal Processing Conference (EUSIPCO) Pub Date : 2019-09-01 DOI: 10.23919/EUSIPCO.2019.8902767
Keerati Kaewrak, J. Soraghan, G. D. Caterina, D. Grose
{"title":"Modified U-Net for Automatic Brain Tumor Regions Segmentation","authors":"Keerati Kaewrak, J. Soraghan, G. D. Caterina, D. Grose","doi":"10.23919/EUSIPCO.2019.8902767","DOIUrl":"https://doi.org/10.23919/EUSIPCO.2019.8902767","url":null,"abstract":"Novel deep learning based network architectures are investigated for advanced brain tumor image classification and segmentation. Variations in brain tumor characteristics together with limited labelled datasets represent significant challenges in automatic brain tumor segmentation. In this paper, we present a novel architecture based on the U-Net that incorporates both global and local feature extraction paths to improve the segmentation accuracy. The results included in the paper show superior performance of the novel segmentation for five tumor regions on the large BRATs 2018 dataset over other approaches.","PeriodicalId":319233,"journal":{"name":"2019 27th European Signal Processing Conference (EUSIPCO)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127574843","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
Secure Dictionary Learning for Sparse Representation 稀疏表示的安全字典学习
2019 27th European Signal Processing Conference (EUSIPCO) Pub Date : 2019-09-01 DOI: 10.23919/EUSIPCO.2019.8902535
T. Nakachi, Y. Bandoh, H. Kiya
{"title":"Secure Dictionary Learning for Sparse Representation","authors":"T. Nakachi, Y. Bandoh, H. Kiya","doi":"10.23919/EUSIPCO.2019.8902535","DOIUrl":"https://doi.org/10.23919/EUSIPCO.2019.8902535","url":null,"abstract":"In this paper, we propose secure dictionary learning for sparse representation based on a random unitary transform. Edge cloud computing is now spreading to many application fields including services that use sparse coding. This situation raises many new privacy concerns. The proposed scheme provides practical MOD and K-SVD schemes that allow computation on encrypted signals. We prove, theoretically, that the proposal has exactly the same dictionary and sparse coefficient estimation performance as sparse dictionary learning for unencrypted signals. It can be directly carried out by using MOD and K-SVD algorithms. Moreover, we apply it to image modeling based on an image patch model. Finally, we demonstrate its excellent performance on synthetic data and natural images.","PeriodicalId":319233,"journal":{"name":"2019 27th European Signal Processing Conference (EUSIPCO)","volume":"477 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127793118","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
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