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2017 25th European Signal Processing Conference (EUSIPCO)最新文献

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Robust precoding scheme for multi-user MIMO visible light communication system 多用户MIMO可见光通信系统的鲁棒预编码方案
2017 25th European Signal Processing Conference (EUSIPCO) Pub Date : 2017-08-01 DOI: 10.23919/EUSIPCO.2017.8081670
Zhirong Zeng, H. Du
{"title":"Robust precoding scheme for multi-user MIMO visible light communication system","authors":"Zhirong Zeng, H. Du","doi":"10.23919/EUSIPCO.2017.8081670","DOIUrl":"https://doi.org/10.23919/EUSIPCO.2017.8081670","url":null,"abstract":"This paper considers a multi-user multiple-input multiple-output (MU-MIMO) visible light communication (VLC) interference channel. The multi-user interference (MUI) can be successfully eliminated with the perfect knowledge of channel state information (CSI). However, the perfect information may not be available at transmitter, which will lead to severe interference and consequently degrade the system performance. Robust precoding design with the assist of block diagonalization (BD) scheme is proposed to minimize the mean square error (MMSE), which not only completely suppresses the MUI but also maximizes the sum rate of the MU VLC system. Simulation results are presented to validate the effectiveness of the proposed algorithm.","PeriodicalId":346811,"journal":{"name":"2017 25th European Signal Processing Conference (EUSIPCO)","volume":"305 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116796658","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
Sub-band equalization filter design for improving dynamic range performance of modulated wideband converter 提高调制宽带变换器动态范围性能的子带均衡滤波器设计
2017 25th European Signal Processing Conference (EUSIPCO) Pub Date : 2017-08-01 DOI: 10.23919/EUSIPCO.2017.8081341
Y. K. Alp, Gokhan Gok, A. Korucu
{"title":"Sub-band equalization filter design for improving dynamic range performance of modulated wideband converter","authors":"Y. K. Alp, Gokhan Gok, A. Korucu","doi":"10.23919/EUSIPCO.2017.8081341","DOIUrl":"https://doi.org/10.23919/EUSIPCO.2017.8081341","url":null,"abstract":"In this work, we propose an iterative method to improve the dynamic range performance of the Modulated Wideband Converter (MWC), which is multi-channel sampling system for digitizing wideband sparse signals below the Nyquist limit without loss of information by using compressive sensing techniques. Our method jointly designs FIR filters for each sub-band to equalize the frequency response characteristics of the all sub-bands of the MWC. Obtained results from the extensive computer simulations of the MWC system show that the proposed method improves the dynamic range performance of the MWC system significantly.","PeriodicalId":346811,"journal":{"name":"2017 25th European Signal Processing Conference (EUSIPCO)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123997497","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
Buffer dimensioning for throughput improvement of dynamic dataflow signal processing applications on multi-core platforms 基于多核平台动态数据流信号处理应用的缓冲区尺寸优化
2017 25th European Signal Processing Conference (EUSIPCO) Pub Date : 2017-08-01 DOI: 10.23919/EUSIPCO.2017.8081426
M. Michalska, E. Bezati, S. Brunet, M. Mattavelli
{"title":"Buffer dimensioning for throughput improvement of dynamic dataflow signal processing applications on multi-core platforms","authors":"M. Michalska, E. Bezati, S. Brunet, M. Mattavelli","doi":"10.23919/EUSIPCO.2017.8081426","DOIUrl":"https://doi.org/10.23919/EUSIPCO.2017.8081426","url":null,"abstract":"Executing a dataflow program on a parallel platform requires assigning to each buffer a given size so that correct program executions take place without introducing any deadlock. Furthermore, in the case of dynamic dataflow programs, specific buffer size assignments lead to significant differences in the throughput, hence a more appropriate optimization problem is to specify the buffer sizes so that the throughput is maximized and the used resources are minimized. This paper introduces a new heuristic methodology for the buffer dimensioning of dynamic dataflow programs, which is considered as a stage of a more general design space exploration process.","PeriodicalId":346811,"journal":{"name":"2017 25th European Signal Processing Conference (EUSIPCO)","volume":"30 10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125696893","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
Phase vocoder done right 相位声码器做对了
2017 25th European Signal Processing Conference (EUSIPCO) Pub Date : 2017-08-01 DOI: 10.23919/EUSIPCO.2017.8081353
Zdeněk Průša, N. Holighaus
{"title":"Phase vocoder done right","authors":"Zdeněk Průša, N. Holighaus","doi":"10.23919/EUSIPCO.2017.8081353","DOIUrl":"https://doi.org/10.23919/EUSIPCO.2017.8081353","url":null,"abstract":"The phase vocoder (PV) is a widely spread technique for processing audio signals. It employs a short-time Fourier transform (STFT) analysis-modify-synthesis loop and is typically used for time-scaling of signals by means of using different time steps for STFT analysis and synthesis. The main challenge of PV used for that purpose is the correction of the STFT phase. In this paper, we introduce a novel method for phase correction based on phase gradient estimation and its integration. The method does not require explicit peak picking and tracking nor does it require detection of transients and their separate treatment. Yet, the method does not suffer from the typical phase vocoder artifacts even for extreme time stretching factors.","PeriodicalId":346811,"journal":{"name":"2017 25th European Signal Processing Conference (EUSIPCO)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125803048","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: 24
A smartphone-based indoor localisation system using FM and Wi-Fi signals 基于智能手机的室内定位系统，使用调频和Wi-Fi信号
2017 25th European Signal Processing Conference (EUSIPCO) Pub Date : 2017-08-01 DOI: 10.23919/EUSIPCO.2017.8081655
A. Mukhopadhyay, P. Rajput, Seshan Srirangarajan
{"title":"A smartphone-based indoor localisation system using FM and Wi-Fi signals","authors":"A. Mukhopadhyay, P. Rajput, Seshan Srirangarajan","doi":"10.23919/EUSIPCO.2017.8081655","DOIUrl":"https://doi.org/10.23919/EUSIPCO.2017.8081655","url":null,"abstract":"Indoor localisation has the potential to revolutionise the way people navigate indoors, similar to the tremendous impact that GPS has had on outdoor navigation. A number of solutions have been proposed for indoor localisation but most rely on specialised hardware or on the presence of a strong (access point) infrastructure. Many places do not have such infrastructure, thus limiting the use of these indoor localisation technologies. We propose a smartphone-based solution using FM and Wi-Fi signals that uses commercial off-the-shelf hardware which can be connected as and when required and thus addresses some of the potential privacy concerns. We show through our experiments that the proposed system can be used even in areas with low FM and Wi-Fi signal coverage. Our system achieves a mean localisation error of 2.84 m with a 90th percentile error of 4.03 m. In addition, we show the robustness of our system in a realistic and challenging environment by using a 4 month old training database.","PeriodicalId":346811,"journal":{"name":"2017 25th European Signal Processing Conference (EUSIPCO)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125885276","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
The design of seismic migration complex-valued finite impulse response filters 地震偏移复值有限脉冲响应滤波器的设计
2017 25th European Signal Processing Conference (EUSIPCO) Pub Date : 2017-08-01 DOI: 10.23919/EUSIPCO.2017.8081433
Wail A. H. Mousa
{"title":"The design of seismic migration complex-valued finite impulse response filters","authors":"Wail A. H. Mousa","doi":"10.23919/EUSIPCO.2017.8081433","DOIUrl":"https://doi.org/10.23919/EUSIPCO.2017.8081433","url":null,"abstract":"This paper proposes a novel way to design seismic migration Finite Impulse Response (FIR) digital filters using the Newton minimization algorithm. The algorithm requires computing the inverse of the Jacobian matrix, which is non-square for the seismic migration filters problem. In this case, we suggest using the Moore-Penrose pseudo-inverse to obtain the inverse of the Jacobian matrix. The proposed design algorithm running time is about 8 times faster than the recently proposed Li-norm algorithm. Furthermore, the proposed method results in seismic migration filters that lead to practically stable seismic images.","PeriodicalId":346811,"journal":{"name":"2017 25th European Signal Processing Conference (EUSIPCO)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126189517","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
Motor parameters estimation from industrial electrical measurements 从工业电气测量中估计电机参数
2017 25th European Signal Processing Conference (EUSIPCO) Pub Date : 2017-08-01 DOI: 10.23919/EUSIPCO.2017.8081359
Daniele Angelosante, L. Fagiano, Fabio Grasso, E. Ragaini
{"title":"Motor parameters estimation from industrial electrical measurements","authors":"Daniele Angelosante, L. Fagiano, Fabio Grasso, E. Ragaini","doi":"10.23919/EUSIPCO.2017.8081359","DOIUrl":"https://doi.org/10.23919/EUSIPCO.2017.8081359","url":null,"abstract":"Voltage and current sensors integrated in modern electrical equipment can enable extraction of advanced information on the network and the connected devices. While traditional methods for protection and network managements rely upon processing of these signals at low speed, high-frequency processing of the raw current and voltage signals can unveil information about the type of electrical load in the networks. In particular, the common case of three-phase induction machines is considered in this paper. Motor parameters are instrumental information for control, monitoring and diagnostic. A classical approach is to measure motor parameters using off-line dedicated measurements. In this paper, we propose a method for motor parameters estimation from electrical measurements during motor start-up. Given samples of current and voltage signals during motor start-up, the model parameters are identified using classical non-linear system identification tools. While the classical theory is developed using current sensors, in this paper the method is extended to a common type of industrial current sensors, i.e., Rogowski coil sensors, and signal processing methods are presented to overcome the non-ideality caused by this type of sensors. Numerical tests performed on real data show that effective motor parameters identification can be achieved from the raw current and voltage measurements.","PeriodicalId":346811,"journal":{"name":"2017 25th European Signal Processing Conference (EUSIPCO)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129400295","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
Amplitude and phase dereverberation of monocomponent signals 单分量信号的幅度和相位去噪
2017 25th European Signal Processing Conference (EUSIPCO) Pub Date : 2017-08-01 DOI: 10.23919/EUSIPCO.2017.8081414
Arthur Belhomme, R. Badeau, Y. Grenier, E. Humbert
{"title":"Amplitude and phase dereverberation of monocomponent signals","authors":"Arthur Belhomme, R. Badeau, Y. Grenier, E. Humbert","doi":"10.23919/EUSIPCO.2017.8081414","DOIUrl":"https://doi.org/10.23919/EUSIPCO.2017.8081414","url":null,"abstract":"While most dereverberation methods focus on how to estimate the amplitude of an anechoic signal, we propose a method which also takes the phase into account. By applying a sinusoidal model to the anechoic signal, we derive a formulation to compute the amplitude and phase of each sinusoid. These parameters are then estimated by our method in the reverberant case. As we jointly estimate the amplitude and phase of the clean signal, we achieve a very strong dereverberation, resulting in a significant improvement of objective dereverberation measures over the state-of-the-art.","PeriodicalId":346811,"journal":{"name":"2017 25th European Signal Processing Conference (EUSIPCO)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129900472","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
Human crowd detection for drone flight safety using convolutional neural networks 基于卷积神经网络的无人机飞行安全人群检测
2017 25th European Signal Processing Conference (EUSIPCO) Pub Date : 2017-08-01 DOI: 10.23919/EUSIPCO.2017.8081306
Maria Tzelepi, A. Tefas
{"title":"Human crowd detection for drone flight safety using convolutional neural networks","authors":"Maria Tzelepi, A. Tefas","doi":"10.23919/EUSIPCO.2017.8081306","DOIUrl":"https://doi.org/10.23919/EUSIPCO.2017.8081306","url":null,"abstract":"In this paper a novel human crowd detection method, that utilizes deep Convolutional Neural Networks (CNN), for drone flight safety purposes is proposed. The aim of our work is to provide light architectures, as imposed by the computational restrictions of the application, that can effectively distinguish between crowded and non-crowded scenes, captured from drones, and provide crowd heatmaps that can be used to semantically enhance the flight maps by defining no-fly zones. To this end, we first propose to adapt a pre-trained CNN on our task, by totally discarding the fully-connected layers and attaching an additional convolutional one, transforming it to a fast fully-convolutional network that is able to produce crowd heatmaps. Second, we propose a two-loss-training model, which aims to enhance the separability of the crowd and non-crowd classes. The experimental validation is performed on a new drone dataset that has been created for the specific task, and indicates the effectiveness of the proposed detector.","PeriodicalId":346811,"journal":{"name":"2017 25th European Signal Processing Conference (EUSIPCO)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128307089","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: 51
Compressed sensing technique for synchronization and channel estimation in OFDMA uplink transmissions OFDMA上行传输中同步和信道估计的压缩感知技术
2017 25th European Signal Processing Conference (EUSIPCO) Pub Date : 2017-08-01 DOI: 10.23919/EUSIPCO.2017.8081683
Rifat Volkan Senyuva, Günes Karabulut-Kurt, E. Anarim
{"title":"Compressed sensing technique for synchronization and channel estimation in OFDMA uplink transmissions","authors":"Rifat Volkan Senyuva, Günes Karabulut-Kurt, E. Anarim","doi":"10.23919/EUSIPCO.2017.8081683","DOIUrl":"https://doi.org/10.23919/EUSIPCO.2017.8081683","url":null,"abstract":"In this study joint estimation of the symbol timing offset (STO), and channel impulse response (CIR) of each active user under the presence of the carrier frequency offset (CFO) is considered for the uplink of an orthogonal frequency-division multiple access (OFDMA) system. A new method based on the compressed sensing (CS) framework using pilot symbols is proposed for the joint estimation of the STO and the CIR of each active user. Sparsity is achieved through incorporating the STO, the cyclic prefix (CP) samples, and the CIR coefficients into a new signal model. The proposed method does not require CIR coefficients to be sparse. Numerical results of the performance of the proposed method using the orthogonal matching pursuit (OMP) algorithm is presented. The presence of CTO is also considered as a perturbation to the CS dictionary of pilot symbols.","PeriodicalId":346811,"journal":{"name":"2017 25th European Signal Processing Conference (EUSIPCO)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129646585","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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