发布求助
文献互助 智能选刊 最新文献

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

筛选
英文 中文
FPGA implementation of a cyclostationary detector for OFDM signals OFDM信号循环平稳检测器的FPGA实现
2016 24th European Signal Processing Conference (EUSIPCO) Pub Date : 2016-09-07 DOI: 10.1109/EUSIPCO.2016.7760328
Douglas Allan, L. Crockett, Stephan Weiss, Kenneth Stuart, R. Stewart
{"title":"FPGA implementation of a cyclostationary detector for OFDM signals","authors":"Douglas Allan, L. Crockett, Stephan Weiss, Kenneth Stuart, R. Stewart","doi":"10.1109/EUSIPCO.2016.7760328","DOIUrl":"https://doi.org/10.1109/EUSIPCO.2016.7760328","url":null,"abstract":"Due to the ubiquity of Orthogonal Frequency Division Multiplexing (OFDM) based communications standards such as IEEE 802.11 a/g/n and 3GPP Long Term Evolution (LTE), a growing interest has developed in techniques for reliably detecting the presence of these signals in dynamic radio systems. A popular approach for detection is to exploit the cyclostationary nature of OFDM communications signals. In this paper, we focus on a frequency domain cyclostationary detection algorithm first introduced by Giannakis and Dandawate and study its performance in detecting IEEE 802.11a OFDM signals in the presence of practical radio impairments such as Carrier Frequency offset (CFO), Phase Noise, I/Q Imbalance, Multipath Fading and DC offset. We then present a hardware implementation of this algorithm developed using MathWorks HDL Coder and provide implementation results after targeting to a Xilinx 7 Series FPGA device.","PeriodicalId":127068,"journal":{"name":"2016 24th European Signal Processing Conference (EUSIPCO)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116019664","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
Robust time-of-arrival self calibration with missing data and outliers 具有缺失数据和异常值的鲁棒到达时间自校准
2016 24th European Signal Processing Conference (EUSIPCO) Pub Date : 2016-09-02 DOI: 10.1109/EUSIPCO.2016.7760673
Kenneth Batstone, M. Oskarsson, Kalle Åström
{"title":"Robust time-of-arrival self calibration with missing data and outliers","authors":"Kenneth Batstone, M. Oskarsson, Kalle Åström","doi":"10.1109/EUSIPCO.2016.7760673","DOIUrl":"https://doi.org/10.1109/EUSIPCO.2016.7760673","url":null,"abstract":"The problem of estimating receiver-sender node positions from measured receiver-sender distances is a key issue in different applications such as microphone array calibration, radio antenna array calibration, mapping and positioning using ultra-wideband and mapping and positioning using round-trip-time measurements between mobile phones and Wi-Fi-units. Thanks to recent research in this area we have an increased understanding of the geometry of this problem. In this paper, we study the problem of missing information and the presence of outliers in the data. We propose a novel hypothesis and test framework that efficiently finds initial estimates of the unknown parameters and combine such methods with optimization techniques to obtain accurate and robust systems. The proposed systems are evaluated against current state-of-the-art methods on a large set of benchmark tests. This is evaluated further on Wi-Fi round-trip time and ultra-wideband measurements to give a realistic example of self calibration for indoor localization.","PeriodicalId":127068,"journal":{"name":"2016 24th European Signal Processing Conference (EUSIPCO)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131769739","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: 14
Sparse decomposition of the GPR useful signal from hyperbola dictionary 双曲线字典中探地雷达有用信号的稀疏分解
2016 24th European Signal Processing Conference (EUSIPCO) Pub Date : 2016-08-30 DOI: 10.1109/EUSIPCO.2016.7760679
Guillaume Terrasse, J. Nicolas, E. Trouvé, Emeline Drouet
{"title":"Sparse decomposition of the GPR useful signal from hyperbola dictionary","authors":"Guillaume Terrasse, J. Nicolas, E. Trouvé, Emeline Drouet","doi":"10.1109/EUSIPCO.2016.7760679","DOIUrl":"https://doi.org/10.1109/EUSIPCO.2016.7760679","url":null,"abstract":"In order to improve asset knowledge and avoid third part damages during road works, the localization of gas pipes in a non-destructive way has become a wide domain of research during these last years. The Ground Penetrating Radar (GPR) is used to detect buried gas pipes. However it does not directly provide a 3D position but a reflection map also called B-scan that the user must interpret. In order to facilitate the B-scan interpretation, we propose to use a dictionary of theoretical pipe signatures. One of the most popular method to compute the coefficients is the sparse coding. Nevertheless, clutter which is noticeable by its horizontal shape makes difficult to decompose it into sparse coefficients with this dictionary. Then a low-rank matrix constraint which models the clutter is applied in order to decompose the useful signal into sparse coefficients in a blind source separation framework. Our method has been applied to simulated and real data acquired on a test area. The proposed method presents satisfying qualitative and quantitative results.","PeriodicalId":127068,"journal":{"name":"2016 24th European Signal Processing Conference (EUSIPCO)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122751464","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
Automatic localization of gas pipes from GPR imagery 基于GPR图像的燃气管道自动定位
2016 24th European Signal Processing Conference (EUSIPCO) Pub Date : 2016-08-30 DOI: 10.1109/EUSIPCO.2016.7760678
Guillaume Terrasse, J. Nicolas, E. Trouvé, Emeline Drouet
{"title":"Automatic localization of gas pipes from GPR imagery","authors":"Guillaume Terrasse, J. Nicolas, E. Trouvé, Emeline Drouet","doi":"10.1109/EUSIPCO.2016.7760678","DOIUrl":"https://doi.org/10.1109/EUSIPCO.2016.7760678","url":null,"abstract":"In order to improve asset knowledge and avoid third part damages during road works, the localization of gas pipes in a non-destructive way has become a wide domain of research during these last years. Several devices have been developed in order to answer this problem. Acoustic, electromagnetic or RFID technologies are used to find pipes in the underground. Ground Penetrating Radar (GPR) is also used to detect buried gas pipes. However it does not directly provide a 3D position but a reflection map called B-scan that the user must interpret. In this paper, we propose a novel method to automatically get the position of gas pipes with GPR acquisitions. This method uses a dictionary of theoretical pipe signatures. The correlation between each atom from the dictionary and the B-scan is used as feature in a two part supervised learning scheme. Our method has been applied to real data acquired on a test area and in real condition. The proposed method presents satisfying qualitative and quantitative results compared to other methods.","PeriodicalId":127068,"journal":{"name":"2016 24th European Signal Processing Conference (EUSIPCO)","volume":"369 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130702107","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: 19
Ad hoc microphone array beamforming using the primal-dual method of multipliers 使用乘法器的原对偶方法的自组织麦克风阵列波束形成
2016 24th European Signal Processing Conference (EUSIPCO) Pub Date : 2016-08-29 DOI: 10.1109/eusipco.2016.7760416
V. Tavakoli, J. Jensen, R. Heusdens, J. Benesty, M. G. Christensen
{"title":"Ad hoc microphone array beamforming using the primal-dual method of multipliers","authors":"V. Tavakoli, J. Jensen, R. Heusdens, J. Benesty, M. G. Christensen","doi":"10.1109/eusipco.2016.7760416","DOIUrl":"https://doi.org/10.1109/eusipco.2016.7760416","url":null,"abstract":"In the recent years, there have been an increasing amount of researches aiming at optimal beamforming with ad hoc microphone arrays, mostly fusion-center-based schemes. However, huge computational complexities and communication overheads impede many of these algorithms from being useful in practice. In this paper, we propose a low-footprint optimization approach to reduce the convergence time and overheads for the distributed beamforming problem. We transcribe the pseudo-coherence-based beamforming which is insightful for taking into account the nature of speech. We formulate the distributed minimum variance distortionless response beamformer using the primal-dual method of multipliers. Our experiments confirm the fast convergence using the proposed distributed algorithm. It is also shown how a hard limit on the number of iterations affects the performance of the array in noise and interference suppression.","PeriodicalId":127068,"journal":{"name":"2016 24th European Signal Processing Conference (EUSIPCO)","volume":" 10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120829899","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: 15
Fast disentanglement-based blind quantum source separation and process tomography using a feedforward quantum-classical adapting structure 基于前馈量子经典自适应结构的快速解纠缠盲量子源分离和过程层析
2016 24th European Signal Processing Conference (EUSIPCO) Pub Date : 2016-08-29 DOI: 10.1109/EUSIPCO.2016.7760299
Y. Deville, A. Deville
{"title":"Fast disentanglement-based blind quantum source separation and process tomography using a feedforward quantum-classical adapting structure","authors":"Y. Deville, A. Deville","doi":"10.1109/EUSIPCO.2016.7760299","DOIUrl":"https://doi.org/10.1109/EUSIPCO.2016.7760299","url":null,"abstract":"Our recent investigations of blind quantum source separation and process tomography methods for Heisenberg-coupled quantum bits (qubits) were focused on introducing a new separation principle, based on output disentanglement. We here extend them by proposing a more advanced implementation of their cost function and optimization algorithm. This leads us to move from a feedback to a feedforward adapting block, which avoids potential issues related to feedback in quantum circuits. The number of quantum source state preparations required to blindly adapt the separating system is thus strongly decreased (roughly from 107 to 104), yielding much faster adaptation.","PeriodicalId":127068,"journal":{"name":"2016 24th European Signal Processing Conference (EUSIPCO)","volume":"13 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":"123226265","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
Camera model identification based machine learning approach with high order statistics features 基于高阶统计特征的相机模型识别方法
2016 24th European Signal Processing Conference (EUSIPCO) Pub Date : 2016-08-29 DOI: 10.1109/EUSIPCO.2016.7760435
Amel Tuama, F. Comby, M. Chaumont
{"title":"Camera model identification based machine learning approach with high order statistics features","authors":"Amel Tuama, F. Comby, M. Chaumont","doi":"10.1109/EUSIPCO.2016.7760435","DOIUrl":"https://doi.org/10.1109/EUSIPCO.2016.7760435","url":null,"abstract":"Source camera identification methods aim at identifying the camera used to capture an image. In this paper we developed a method for digital camera model identification by extracting three sets of features in a machine learning scheme. These features are the co-occurrences matrix, some features related to CFA interpolation arrangement, and conditional probability statistics. These features give high order statistics which supplement and enhance the identification rate. The method is implemented with 14 camera models from Dresden database with multi class SVM classifier. A comparison is performed between our method and a camera fingerprint correlation-based method which only depends on PRNU extraction. The experiments prove the strength of our proposition since it achieves higher accuracy than the correlation-based method.","PeriodicalId":127068,"journal":{"name":"2016 24th European Signal Processing Conference (EUSIPCO)","volume":"78 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":"124563970","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: 37
Multiple source localization in the spherical harmonic domain using augmented intensity vectors based on grid search 基于网格搜索的增强强度矢量球谐域多源定位
2016 24th European Signal Processing Conference (EUSIPCO) Pub Date : 2016-08-29 DOI: 10.1109/EUSIPCO.2016.7760319
S. Hafezi, Alastair H. Moore, P. Naylor
{"title":"Multiple source localization in the spherical harmonic domain using augmented intensity vectors based on grid search","authors":"S. Hafezi, Alastair H. Moore, P. Naylor","doi":"10.1109/EUSIPCO.2016.7760319","DOIUrl":"https://doi.org/10.1109/EUSIPCO.2016.7760319","url":null,"abstract":"Multiple source localization is an important task in acoustic signal processing with applications including dereverberation, source separation, source tracking and environment mapping. When using spherical microphone arrays, it has been previously shown that Pseudo-intensity Vectors (PIV), and Augmented Intensity Vectors (AIV), are an effective approach for direction of arrival estimation of a sound source. In this paper, we evaluate AIV-based localization in acoustic scenarios involving multiple sound sources. Simulations are conducted where the number of sources, their angular separation and the reverberation time of the room are varied. The results indicate that AIV outperforms PIV and Steered Response Power (SRP) with an average accuracy between 5 and 10 degrees for sources with angular separation of 30 degrees or more. AIV also shows better robustness to reverberation time than PIV and SRP.","PeriodicalId":127068,"journal":{"name":"2016 24th European Signal Processing Conference (EUSIPCO)","volume":"84 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":"115013797","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
Automatic estimation of the noise level function for adaptive blind denoising 自适应盲去噪的噪声级自动估计函数
2016 24th European Signal Processing Conference (EUSIPCO) Pub Date : 2016-08-29 DOI: 10.1109/EUSIPCO.2016.7760213
Camille Sutour, Jean-François Aujol, C. Deledalle
{"title":"Automatic estimation of the noise level function for adaptive blind denoising","authors":"Camille Sutour, Jean-François Aujol, C. Deledalle","doi":"10.1109/EUSIPCO.2016.7760213","DOIUrl":"https://doi.org/10.1109/EUSIPCO.2016.7760213","url":null,"abstract":"Image denoising is a fundamental problem in image processing and many powerful algorithms have been developed. However, they often rely on the knowledge of the noise distribution and its parameters. We propose a fully blind denoising method that first estimates the noise level function then uses this estimation for automatic denoising. First we perform the nonparametric detection of homogeneous image regions in order to compute a scatterplot of the noise statistics, then we estimate the noise level function with the least absolute deviation estimator. The noise level function parameters are then directly re-injected into an adaptive denoising algorithm based on the non-local means with no prior model fitting. Results show the performance of the noise estimation and denoising methods, and we provide a robust blind denoising tool.","PeriodicalId":127068,"journal":{"name":"2016 24th European Signal Processing Conference (EUSIPCO)","volume":"49 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":"125225636","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
Approximate joint diagonalization within the Riemannian geometry framework 黎曼几何框架内的近似联合对角化
2016 24th European Signal Processing Conference (EUSIPCO) Pub Date : 2016-08-29 DOI: 10.1109/EUSIPCO.2016.7760240
Florent Bouchard, Louis Korczowski, J. Malick, M. Congedo
{"title":"Approximate joint diagonalization within the Riemannian geometry framework","authors":"Florent Bouchard, Louis Korczowski, J. Malick, M. Congedo","doi":"10.1109/EUSIPCO.2016.7760240","DOIUrl":"https://doi.org/10.1109/EUSIPCO.2016.7760240","url":null,"abstract":"We consider the approximate joint diagonalization problem (AJD) related to the well known blind source separation (BSS) problem within the Riemannian geometry framework. We define a new manifold named special polar manifold equivalent to the set of full rank matrices with a unit determinant of their Gram matrix. The Riemannian trust-region optimization algorithm allows us to define a new method to solve the AJD problem. This method is compared to previously published NoJOB and UWEDGE algorithms by means of simulations and shows comparable performances. This Riemannian optimization approach thus shows promising results. Since it is also very flexible, it can be easily extended to block AJD or joint BSS.","PeriodicalId":127068,"journal":{"name":"2016 24th European Signal Processing Conference (EUSIPCO)","volume":"13 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":"116498914","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
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信