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2015 23rd European Signal Processing Conference (EUSIPCO)最新文献

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Relay subset selection in cognitive networks with imperfect CSI and individual power constraints 具有不完全CSI和个体功率约束的认知网络中继子集选择
2015 23rd European Signal Processing Conference (EUSIPCO) Pub Date : 2015-12-28 DOI: 10.1109/EUSIPCO.2015.7362625
L. Blanco, M. Nájar
{"title":"Relay subset selection in cognitive networks with imperfect CSI and individual power constraints","authors":"L. Blanco, M. Nájar","doi":"10.1109/EUSIPCO.2015.7362625","DOIUrl":"https://doi.org/10.1109/EUSIPCO.2015.7362625","url":null,"abstract":"This paper considers the relay subset selection problem in an underlay cognitive network in which two secondary users communicate assisted by a set of N potential relays. More specifically, this paper deals with the joint problem of choosing the best subset of L secondary relays and their corresponding weights which maximize the Signal-to-Interference-plus-Noise ratio (SINR) at the secondary user receiver, subject to per-relay power constraints and interference power constraints at the primary user. This problem is a combinatorial problem with a high computational burden. Nevertheless, we propose a sub-optimal technique, based on a convex relaxation of the problem, which achieves a near-optimal performance with a reduced complexity. Contrary to other approaches in the literature, the secondary relays are not limited to cooperate at full power.","PeriodicalId":401040,"journal":{"name":"2015 23rd European Signal Processing Conference (EUSIPCO)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115280767","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
Blind sampling rate offset estimation based on coherence drift in wireless acoustic sensor networks 无线声传感器网络中基于相干漂移的盲采样率偏移估计
2015 23rd European Signal Processing Conference (EUSIPCO) Pub Date : 2015-12-28 DOI: 10.1109/EUSIPCO.2015.7362791
M. H. Bahari, A. Bertrand, M. Moonen
{"title":"Blind sampling rate offset estimation based on coherence drift in wireless acoustic sensor networks","authors":"M. H. Bahari, A. Bertrand, M. Moonen","doi":"10.1109/EUSIPCO.2015.7362791","DOIUrl":"https://doi.org/10.1109/EUSIPCO.2015.7362791","url":null,"abstract":"In this paper, a new approach for sampling rate offset (SRO) estimation between nodes of a wireless acoustic sensor network (WASN) is proposed using the phase drift of the coherence function between the signals. This method, referred to as least squares coherence drift (LCD) estimation, assumes that the SRO induces a linearly increasing phase-shift in the short-time Fourier transform (STFT) domain. This phase-shift, observed as a drift in the phase of the signal coherence, is applied in a least-squares estimation framework to estimate the SRO. Simulation results in different scenarios show that the LCD estimation approach can estimate the SRO with a mean absolute error of around 1%. We finally demonstrate that the use of the LCD estimation within a compensation approach eliminates the performance-loss due to SRO in a multichannel Wiener filter (MWF)-based speech enhancement task.","PeriodicalId":401040,"journal":{"name":"2015 23rd European Signal Processing Conference (EUSIPCO)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116560293","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: 9
A learning-based visual saliency fusion model for High Dynamic Range video (LBVS-HDR) 基于学习的高动态范围视频视觉显著性融合模型
2015 23rd European Signal Processing Conference (EUSIPCO) Pub Date : 2015-12-28 DOI: 10.1109/EUSIPCO.2015.7362642
Amin Banitalebi-Dehkordi, Yuanyuan Dong, M. Pourazad, P. Nasiopoulos
{"title":"A learning-based visual saliency fusion model for High Dynamic Range video (LBVS-HDR)","authors":"Amin Banitalebi-Dehkordi, Yuanyuan Dong, M. Pourazad, P. Nasiopoulos","doi":"10.1109/EUSIPCO.2015.7362642","DOIUrl":"https://doi.org/10.1109/EUSIPCO.2015.7362642","url":null,"abstract":"Saliency prediction for Standard Dynamic Range (SDR) videos has been well explored in the last decade. However, limited studies are available on High Dynamic Range (HDR) Visual Attention Models (VAMs). Considering that the characteristic of HDR content in terms of dynamic range and color gamut is quite different than those of SDR content, it is essential to identify the importance of different saliency attributes of HDR videos for designing a VAM and understand how to combine these features. To this end we propose a learning-based visual saliency fusion method for HDR content (LVBS-HDR) to combine various visual saliency features. In our approach various conspicuity maps are extracted from HDR data, and then for fusing conspicuity maps, a Random Forests algorithm is used to train a model based on the collected data from an eye-tracking experiment. Performance evaluations demonstrate the superiority of the proposed fusion method against other existing fusion methods.","PeriodicalId":401040,"journal":{"name":"2015 23rd European Signal Processing Conference (EUSIPCO)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116598907","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: 13
Breath and repeat: An attempt at enhancing speech-laugh synthesis quality 呼吸和重复:一种提高语音-笑声合成质量的尝试
2015 23rd European Signal Processing Conference (EUSIPCO) Pub Date : 2015-12-28 DOI: 10.1109/EUSIPCO.2015.7362404
Kevin El Haddad, Hüseyin Çakmak, S. Dupont, T. Dutoit
{"title":"Breath and repeat: An attempt at enhancing speech-laugh synthesis quality","authors":"Kevin El Haddad, Hüseyin Çakmak, S. Dupont, T. Dutoit","doi":"10.1109/EUSIPCO.2015.7362404","DOIUrl":"https://doi.org/10.1109/EUSIPCO.2015.7362404","url":null,"abstract":"In this work, we present a study dedicated to improve the speech-laugh synthesis quality. The impact of two factors is evaluated. The first factor is the addition of breath intake sounds after laughter bursts in speech. The second is the repetition of the word interrupted by laughs in the speech-laugh sentences. Several configurations are evaluated through subjective perceptual tests. We report an improvement of the synthesized speech-laugh naturalness when the breath intake sounds are added. We were unable, though, to make a conclusion concerning a possible positive impact of the repetition of the interrupted words on the speech-laugh synthesis quality.","PeriodicalId":401040,"journal":{"name":"2015 23rd European Signal Processing Conference (EUSIPCO)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114267887","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
Occlusion reduction system for hearing aids with an improved transducer and an associated algorithm 具有改进的换能器和相关算法的助听器闭塞减少系统
2015 23rd European Signal Processing Conference (EUSIPCO) Pub Date : 2015-12-28 DOI: 10.1109/EUSIPCO.2015.7362390
M. Sunohara, M. Osawa, Takumi Hashiura, M. Tateno
{"title":"Occlusion reduction system for hearing aids with an improved transducer and an associated algorithm","authors":"M. Sunohara, M. Osawa, Takumi Hashiura, M. Tateno","doi":"10.1109/EUSIPCO.2015.7362390","DOIUrl":"https://doi.org/10.1109/EUSIPCO.2015.7362390","url":null,"abstract":"Many of hearing aid users have complained about discomfort of their own voice and/or the mastication sound. Such discomfort is caused by increased sound pressure at low frequencies when the ear canal is blocked by hearing aid itself. This phenomenon is called \"occlusion effect\" and is one of the critical issues for hearing aids. This report proposes an occlusion reduction system based on active noise control technique using a new acoustic transducer. The proposed system can reduce the increased sound pressure in the ear canal about 26 dB around 200 Hz. While the proposed system achieved a better performance in the reduction, some distorted sounds are frequently perceived through the system. This secondary issue of the distorted sounds can also be reduced by controlling the feedback loop gain. Finally, a prototype system with the new transducer and a distortion suppressor algorithm is developed and then evaluated.","PeriodicalId":401040,"journal":{"name":"2015 23rd European Signal Processing Conference (EUSIPCO)","volume":"1 10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114014882","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
On the robustness of co-prime sampling 关于协素数抽样的鲁棒性
2015 23rd European Signal Processing Conference (EUSIPCO) Pub Date : 2015-12-28 DOI: 10.1109/EUSIPCO.2015.7362900
A. Koochakzadeh, P. Pal
{"title":"On the robustness of co-prime sampling","authors":"A. Koochakzadeh, P. Pal","doi":"10.1109/EUSIPCO.2015.7362900","DOIUrl":"https://doi.org/10.1109/EUSIPCO.2015.7362900","url":null,"abstract":"Coprime sampling has been shown to be an effective deterministic sub-Nyquist sampling scheme for estimating the power spectrum of wide sense stationary signals without any loss of information. In contrast to the existing results in coprime sampling which only assume an ideal setting, this paper considers both additive perturbation on the sampled signal, as well as sampling jitter, and analyzes their effect on the quality of the estimated correlation sequence. A variety of bounds on the error introduced by such non ideal sampling schemes are computed by considering a statistical model for the perturbations. They indicate that coprime sampling leads to stable estimation of the autocorrelation sequence, in presence of small perturbations. Additional results on identifiability in spatial spectrum estimation are derived using the Fisher Information Matrix, which indicate that with high probability, it is still possible to identify O(M2) sources with M sensors, with a perturbed coprime array.","PeriodicalId":401040,"journal":{"name":"2015 23rd European Signal Processing Conference (EUSIPCO)","volume":"156 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122416443","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: 12
On quantized compressed sensing with saturated measurements via greedy pursuit 基于贪婪追踪的饱和测量量化压缩感知
2015 23rd European Signal Processing Conference (EUSIPCO) Pub Date : 2015-12-28 DOI: 10.1109/EUSIPCO.2015.7362675
Ines Elleuch, F. Abdelkefi, M. Siala, R. Hamila, N. Al-Dhahir
{"title":"On quantized compressed sensing with saturated measurements via greedy pursuit","authors":"Ines Elleuch, F. Abdelkefi, M. Siala, R. Hamila, N. Al-Dhahir","doi":"10.1109/EUSIPCO.2015.7362675","DOIUrl":"https://doi.org/10.1109/EUSIPCO.2015.7362675","url":null,"abstract":"We consider the problem of signal recovery under a sparsity prior, from multi-bit quantized compressed measurements. Recently, it has been shown that allowing a small fraction of the quantized measurements to saturate, combined with a saturation consistency recovery approach, would enhance reconstruction performance. In this paper, by leveraging the potential sparsity of the corrupting saturation noise, we propose a model-based greedy pursuit approach, where a cancel-then-recover procedure is applied in each iteration to estimate the unbounded sign-constrained saturation noise and remove it from the measurements to enable a clean signal estimate. Simulation results show the performance improvements of our proposed method compared with state-of-the-art recovery approaches, in the noiseless and noisy settings.","PeriodicalId":401040,"journal":{"name":"2015 23rd European Signal Processing Conference (EUSIPCO)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122705708","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
Online sketching for big data subspace learning 面向大数据子空间学习的在线素描
2015 23rd European Signal Processing Conference (EUSIPCO) Pub Date : 2015-12-28 DOI: 10.1109/EUSIPCO.2015.7362837
M. Mardani, G. Giannakis
{"title":"Online sketching for big data subspace learning","authors":"M. Mardani, G. Giannakis","doi":"10.1109/EUSIPCO.2015.7362837","DOIUrl":"https://doi.org/10.1109/EUSIPCO.2015.7362837","url":null,"abstract":"Sketching (a.k.a. subsampling) high-dimensional data is a crucial task to facilitate data acquisition process e.g., in magnetic resonance imaging, and to render affordable `Big Data' analytics. Multidimensional nature and the need for realtime processing of data however pose major obstacles. To cope with these challenges, the present paper brings forth a novel real-time sketching scheme that exploits the correlations across data stream to learn a latent subspace based upon tensor PARAFAC decomposition `on the fly.' Leveraging the online subspace updates, we introduce a notion of importance score, which is subsequently adapted into a randomization scheme to predict a minimal subset of important features to acquire in the next time instant. Preliminary tests with synthetic data corroborate the effectiveness of the novel scheme relative to uniform sampling.","PeriodicalId":401040,"journal":{"name":"2015 23rd European Signal Processing Conference (EUSIPCO)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131516604","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
Nonparametric Bayesian matrix factorization for assortative networks 分类网络的非参数贝叶斯矩阵分解
2015 23rd European Signal Processing Conference (EUSIPCO) Pub Date : 2015-12-28 DOI: 10.1109/EUSIPCO.2015.7362890
Mingyuan Zhou
{"title":"Nonparametric Bayesian matrix factorization for assortative networks","authors":"Mingyuan Zhou","doi":"10.1109/EUSIPCO.2015.7362890","DOIUrl":"https://doi.org/10.1109/EUSIPCO.2015.7362890","url":null,"abstract":"We describe in detail the gamma process edge partition model that is well suited to analyze assortative relational networks. The model links the binary edges of an undirected and unweighted relational network with a latent factor model via the Bernoulli-Poisson link, and uses the gamma process to support a potentially infinite number of latent communities. The communities are allowed to overlap with each other, with a community's overlapping parts assumed to be more densely connected than its non-overlapping ones. The model is evaluated with synthetic data to illustrate its ability to model as-sortative networks and its restriction on modeling dissortative ones.","PeriodicalId":401040,"journal":{"name":"2015 23rd European Signal Processing Conference (EUSIPCO)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133512846","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
Piecewise parameterised Markov random fields for semi-local Hurst estimation 半局部Hurst估计的分段参数化马尔可夫随机场
2015 23rd European Signal Processing Conference (EUSIPCO) Pub Date : 2015-12-28 DOI: 10.1109/EUSIPCO.2015.7362659
Jean-Baptiste Regli, J. Nelson
{"title":"Piecewise parameterised Markov random fields for semi-local Hurst estimation","authors":"Jean-Baptiste Regli, J. Nelson","doi":"10.1109/EUSIPCO.2015.7362659","DOIUrl":"https://doi.org/10.1109/EUSIPCO.2015.7362659","url":null,"abstract":"Semi-local Hurst estimation is considered by incorporating a Markov random field model to constrain a wavelet-based pointwise Hurst estimator. This results in an estimator which is able to exploit the spatial regularities of a piecewise parametric varying Hurst parameter. The pointwise estimates are jointly inferred along with the parametric form of the underlying Hurst function which characterises how the Hurst parameter varies deterministically over the spatial support of the data. Unlike recent Hurst regularisation methods, the proposed approach is flexible in that arbitrary parametric forms can be considered and is extensible in as much as the associated gradient descent algorithm can accommodate a broad class of distributional assumptions without any significant modifications. The potential benefits of the approach are illustrated with simulations of various first-order polynomial forms.","PeriodicalId":401040,"journal":{"name":"2015 23rd European Signal Processing Conference (EUSIPCO)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133555199","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
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