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

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Group sparse LMS for multiple system identification 多系统识别的分组稀疏LMS
2015 23rd European Signal Processing Conference (EUSIPCO) Pub Date : 2015-12-28 DOI: 10.1109/EUSIPCO.2015.7362672
Lei Yu, Chen Wei, G. Zheng
{"title":"Group sparse LMS for multiple system identification","authors":"Lei Yu, Chen Wei, G. Zheng","doi":"10.1109/EUSIPCO.2015.7362672","DOIUrl":"https://doi.org/10.1109/EUSIPCO.2015.7362672","url":null,"abstract":"Armed with structures, group sparsity can be exploited to extraordinarily improve the performance of adaptive estimation. In this paper, a group sparse regularized least-mean-square (LMS) algorithm is proposed to cope with the identification problems for multiple/multi-channel systems. In particular, the coefficients of impulse response function for each system are assumed to be sparse. Then, the dependencies between multiple systems are considered, where the coefficients of impulse responses of each system share the same pattern. An iterative online algorithm is proposed via proximal splitting method. At the end, simulations are carried out to verify the superiority of our proposed algorithm to the state-of-the-art algorithms.","PeriodicalId":401040,"journal":{"name":"2015 23rd European Signal Processing Conference (EUSIPCO)","volume":"48 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":"123798718","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: 5
Fast millimeter wave threat detection algorithm 快速毫米波威胁检测算法
2015 23rd European Signal Processing Conference (EUSIPCO) Pub Date : 2015-12-28 DOI: 10.1109/EUSIPCO.2015.7362453
I. G. Maqueda, N. P. D. L. Blanca, R. Molina, A. Katsaggelos
{"title":"Fast millimeter wave threat detection algorithm","authors":"I. G. Maqueda, N. P. D. L. Blanca, R. Molina, A. Katsaggelos","doi":"10.1109/EUSIPCO.2015.7362453","DOIUrl":"https://doi.org/10.1109/EUSIPCO.2015.7362453","url":null,"abstract":"Millimeter Wave (MMW) imaging systems are currently being used to detect hidden threats. Unfortunately the current performance of detection algorithms is very poor due to the presence of severe noise, the low resolution of MMW images and, in general, the poor quality of the acquired images. In this paper we present a new real time MMW threat detection algorithm based on a tailored de-noising, body and threat segmentation, and threat detection process that outperforms currently existing detection procedures. A complete comparison with a state of art threat detection algorithm is presented in the experimental section.","PeriodicalId":401040,"journal":{"name":"2015 23rd European Signal Processing Conference (EUSIPCO)","volume":"6 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":"121154489","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
Selective angle measurements for a 3D-AOA instrumental variable TMA algorithm 选择角度测量的3D-AOA仪器变量TMA算法
2015 23rd European Signal Processing Conference (EUSIPCO) Pub Date : 2015-12-28 DOI: 10.1109/EUSIPCO.2015.7362372
K. Doğançay, R. Arablouei
{"title":"Selective angle measurements for a 3D-AOA instrumental variable TMA algorithm","authors":"K. Doğançay, R. Arablouei","doi":"10.1109/EUSIPCO.2015.7362372","DOIUrl":"https://doi.org/10.1109/EUSIPCO.2015.7362372","url":null,"abstract":"The method of instrumental variables has been successfully applied to pseudolinear estimation for angle-of-arrival target motion analysis (TMA). The objective of instrumental variables is to modify the normal equations of a biased least-squares estimator to make it asymptotically unbiased. The instrumental variable (IV) matrix, used in the modified normal equations, is required to be strongly correlated with the data matrix and uncorrelated with the noise in the measurement vector. At small SNR, the correlation between the IV matrix and the data matrix can become weak. The concept of selective angle measurements (SAM) overcomes this problem by allowing some rows of the IV matrix and data matrix to be identical. This paper demonstrates the effectiveness of SAM for a previously proposed 3D angle-only IV TMA algorithm. The performance improvement of SAM is verified by simulation examples.","PeriodicalId":401040,"journal":{"name":"2015 23rd European Signal Processing Conference (EUSIPCO)","volume":"35 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":"116361364","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
Perceptual loudness compensation in interactive object-based audio coding systems 基于交互式对象的音频编码系统中的感知响度补偿
2015 23rd European Signal Processing Conference (EUSIPCO) Pub Date : 2015-12-28 DOI: 10.1109/EUSIPCO.2015.7362449
Jouni Paulus
{"title":"Perceptual loudness compensation in interactive object-based audio coding systems","authors":"Jouni Paulus","doi":"10.1109/EUSIPCO.2015.7362449","DOIUrl":"https://doi.org/10.1109/EUSIPCO.2015.7362449","url":null,"abstract":"Changing the rendering through interactivity in object-based audio coding may change the overall signal loudness. This paper proposes a method for estimating the change in the overall loudness using loudness information of the partial mixes and the rendering description. The method has been designed for a dialogue enhancement application scenario. The results of the method are compared with reference values from measurements, and the results match well with the mean absolute error of 0.11 LU. A subjective listening test is conducted for studying the amount of amplification applied by the test participants on a probe signal simulating the result of an interactive rendering when comparing it with a reference signal of the default mix. The average level adjustment reflects the change in the signal loudness through the modification.","PeriodicalId":401040,"journal":{"name":"2015 23rd European Signal Processing Conference (EUSIPCO)","volume":"604 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":"116371308","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
Carrier frequency and direction of arrival estimation with nested sub-nyquist sensor array receiver 基于嵌套子奈奎斯特传感器阵列接收机的载波频率和到达方向估计
2015 23rd European Signal Processing Conference (EUSIPCO) Pub Date : 2015-12-28 DOI: 10.1109/EUSIPCO.2015.7362567
Achanna Anil Kumar, S. G. Razul, C. See
{"title":"Carrier frequency and direction of arrival estimation with nested sub-nyquist sensor array receiver","authors":"Achanna Anil Kumar, S. G. Razul, C. See","doi":"10.1109/EUSIPCO.2015.7362567","DOIUrl":"https://doi.org/10.1109/EUSIPCO.2015.7362567","url":null,"abstract":"Carrier frequency and its corresponding direction of arrival (DOA) estimation, at sub-Nyquist sampling rates of narrowband (bandwidth not exceeding B Hz) sources is considered in this paper. We assume M physical sensors arranged in a two dimensional nested sensor array configuration and propose to modify the receiver architecture by inserting an additional delay channel to only the dense sensor array. An efficient subspace based estimation algorithm to estimate the carrier frequencies and their DOAs is also presented. With this proposed approach we show that a minimum ADC sampling frequency of B Hz is sufficient and O(M/4]2) carrier frequencies and their DOAs can be estimated despite all the carrier frequencies exactly aliased to the same frequency. Furthermore, simulations indicate that when used for spectrum estimation, in addition to carrier frequencies and their DOA estimation, it shows better performance compared to an existing approach using the same M element uniform two dimensional sensor array.","PeriodicalId":401040,"journal":{"name":"2015 23rd European Signal Processing Conference (EUSIPCO)","volume":"45 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":"121558705","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: 16
An efficient audiovisual saliency model to predict eye positions when looking at conversations 一个有效的视听显著性模型，用于预测对话时眼睛的位置
2015 23rd European Signal Processing Conference (EUSIPCO) Pub Date : 2015-12-28 DOI: 10.1109/EUSIPCO.2015.7362640
A. Coutrot, N. Guyader
{"title":"An efficient audiovisual saliency model to predict eye positions when looking at conversations","authors":"A. Coutrot, N. Guyader","doi":"10.1109/EUSIPCO.2015.7362640","DOIUrl":"https://doi.org/10.1109/EUSIPCO.2015.7362640","url":null,"abstract":"Classic models of visual attention dramatically fail at predicting eye positions on visual scenes involving faces. While some recent models combine faces with low-level features, none of them consider sound as an input. Yet it is crucial in conversation or meeting scenes. In this paper, we describe and refine an audiovisual saliency model for conversation scenes. This model includes a speaker diarization algorithm which automatically modulates the saliency of conversation partners' faces and bodies according to their speaking-or-not status. To merge our different features into a master saliency map, we use an efficient statistical method (Lasso) allowing a straightforward interpretation of feature relevance. To train and evaluate our model, we run an eye tracking experiment on a publicly available meeting videobase. We show that increasing the saliency of speakers' faces (but not bodies) greatly improves the predictions of our model, compared to previous ones giving an equal and constant weight to each conversation partner.","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":"127628635","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: 26
Human vision model including age dependencies 包括年龄依赖性的人类视觉模型
2015 23rd European Signal Processing Conference (EUSIPCO) Pub Date : 2015-12-28 DOI: 10.1109/EUSIPCO.2015.7362657
Rafał K. Mantiuk, G. Ramponi
{"title":"Human vision model including age dependencies","authors":"Rafał K. Mantiuk, G. Ramponi","doi":"10.1109/EUSIPCO.2015.7362657","DOIUrl":"https://doi.org/10.1109/EUSIPCO.2015.7362657","url":null,"abstract":"We extend a model of the human visual system to predict the effects of age. The extensions are based on the existing models of disability glare, aging of the crystalline lens and reduced pupil size with age. The complete model, including an empirical neural component, can well explain the differences in contrast sensitivity between old and young observers.","PeriodicalId":401040,"journal":{"name":"2015 23rd European Signal Processing Conference (EUSIPCO)","volume":"16 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":"127667566","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: 5
Sleep stage classification using sparse rational decomposition of single channel EEG records 基于稀疏理性分解的单通道脑电图睡眠阶段分类
2015 23rd European Signal Processing Conference (EUSIPCO) Pub Date : 2015-12-28 DOI: 10.1109/EUSIPCO.2015.7362706
Kaveh Samiee, P. Kovács, S. Kiranyaz, M. Gabbouj, T. Saramäki
{"title":"Sleep stage classification using sparse rational decomposition of single channel EEG records","authors":"Kaveh Samiee, P. Kovács, S. Kiranyaz, M. Gabbouj, T. Saramäki","doi":"10.1109/EUSIPCO.2015.7362706","DOIUrl":"https://doi.org/10.1109/EUSIPCO.2015.7362706","url":null,"abstract":"A sparse representation of ID signals is proposed based on time-frequency analysis using Generalized Rational Discrete Short Time Fourier Transform (RDSTFT). First, the signal is decomposed into a set of frequency sub-bands using poles and coefficients of the RDSTFT spectra. Then, the sparsity is obtained by applying the Basis Pursuit (BP) algorithm on these frequency sub-bands. Finally, the total energy of each subband was used to extract features for offline patient-specific sleep stage classification of single channel EEG records. In classification of over 670 hours sleep Electroencephalography of 39 subjects, the overall accuracy of 92.50% on the test set is achieved using random forests (RF) classifier trained on 25% of each sleep record. A comparison with the results of other state-of-art methods demonstrates the effectiveness of the proposed sparse decomposition method in EEG signal analysis.","PeriodicalId":401040,"journal":{"name":"2015 23rd European Signal Processing Conference (EUSIPCO)","volume":"69 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":"126434652","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
TARGET: A direct AOA-TDOA estimation for blind broadband geolocalization 目标:盲宽带地理定位的直接AOA-TDOA估计
2015 23rd European Signal Processing Conference (EUSIPCO) Pub Date : 2015-12-28 DOI: 10.1109/EUSIPCO.2015.7362858
Cyrile Delestre, A. Ferréol, P. Larzabal, C. Germond
{"title":"TARGET: A direct AOA-TDOA estimation for blind broadband geolocalization","authors":"Cyrile Delestre, A. Ferréol, P. Larzabal, C. Germond","doi":"10.1109/EUSIPCO.2015.7362858","DOIUrl":"https://doi.org/10.1109/EUSIPCO.2015.7362858","url":null,"abstract":"In this paper, a new robust and low computationally algorithm is proposed for broadband geolocalization. Recent work have demonstrated the superiority of the geolocalization in 1-step over the 2-steps algorithms. However this superiority is obtained at the price of a bandwidth slicing which is unfortunately limited for computational reasons and leads to an asymptotic bias due to the residual broadband effect. This paper we propose an alternative approach fully exploiting the total bandwidth and consequently suppressing the slicing drawbacks. The proposed method is named TARGET and exploits the rank deficiency of a temporal shift dependent covariance matrix after a multichannel synchronization. Our analysis and simulations prove the performance advantage of proposed method over recently introduced ones.","PeriodicalId":401040,"journal":{"name":"2015 23rd European Signal Processing Conference (EUSIPCO)","volume":"371 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":"115904650","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
Ultrasonic fatty liver imaging 脂肪肝超声显像
2015 23rd European Signal Processing Conference (EUSIPCO) Pub Date : 2015-12-28 DOI: 10.1109/eusipco.2015.7362853
Yinhui Deng, J. Jago, Yanjun Gong
{"title":"Ultrasonic fatty liver imaging","authors":"Yinhui Deng, J. Jago, Yanjun Gong","doi":"10.1109/eusipco.2015.7362853","DOIUrl":"https://doi.org/10.1109/eusipco.2015.7362853","url":null,"abstract":"Fatty liver disease is a prevalent condition which may result in serious liver complications and is currently lack of an effective and efficient approach for its quantification. In the paper, we propose to directly image the fat content distribution in liver based on ultrasound echo radio-frequency signals. In the proposed method, spectral difference is utilized to represent the small pieces of liver tissues. Then the connection between the data representation and liver tissues is directly established by an elaborately designed learning process in the high-dimensional feature space, which includes comprehensive hyperparameter learning and model learning. Experimental results demonstrate the effectiveness of the proposed method which is able to visualize the fat distribution and has a 0.93 correlation coefficient with the fat-percentage quantification results of doctor's pathological analysis.","PeriodicalId":401040,"journal":{"name":"2015 23rd European Signal Processing Conference (EUSIPCO)","volume":"46 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":"132488962","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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