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2010 18th European Signal Processing Conference最新文献

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Adaptive spectrum sensing and learning in cognitive radio networks 认知无线电网络中的自适应频谱感知与学习
2010 18th European Signal Processing Conference Pub Date : 2010-08-23 DOI: 10.5281/ZENODO.41947
Abbas Taherpour, S. Gazor, A. Taherpour
{"title":"Adaptive spectrum sensing and learning in cognitive radio networks","authors":"Abbas Taherpour, S. Gazor, A. Taherpour","doi":"10.5281/ZENODO.41947","DOIUrl":"https://doi.org/10.5281/ZENODO.41947","url":null,"abstract":"In this paper, we propose a Primary User (PU) activity detection algorithm for a wideband frequency range which updates spectrum sensing parameters. We assume that the signal of PUs and noise are independent and jointly zero-mean Gaussian processes with unknown variances. We employ a Markov Model (MM) with two states to model the activity of PU which representing the presence and absence of the PU at each subband. By using such a MM, the proposed PU activity detector estimates the probabilities of PU presence in different subbands, recursively, in three steps. Our simulation results show that the proposed algorithm always performs better than the Energy Detector (ED) and despite its simple implementation has slightly better performance than the computationally complex Cyclostationarity Feature Detector (CFD) for practical values of the Signal-to-Noise Ratio (SNR).","PeriodicalId":409817,"journal":{"name":"2010 18th European Signal Processing Conference","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132859043","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
Objective assessment of renal DCE-MRI image segmentation 肾脏DCE-MRI图像分割的客观评价
2010 18th European Signal Processing Conference Pub Date : 2010-08-23 DOI: 10.5281/ZENODO.41928
Beatrice Chevaillier, J. Collette, D. Mandry, M. Claudon, O. Pietquin
{"title":"Objective assessment of renal DCE-MRI image segmentation","authors":"Beatrice Chevaillier, J. Collette, D. Mandry, M. Claudon, O. Pietquin","doi":"10.5281/ZENODO.41928","DOIUrl":"https://doi.org/10.5281/ZENODO.41928","url":null,"abstract":"In dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) of renal perfusion with injection of a contrast agent, the segmentation of kidney in regions of interest like cortex, medulla and pelvo-caliceal cavities is necessary for accurate functional evaluation. Several semiautomatic segmentation methods using time-intensity curves of renal voxels have been recently developed. Most of the time, quantitative result validation consists in comparisons with a manual segmentation by an expert. However it can be questionable to consider such a segmentation as a ground truth, especially because of intra- and inter-operator variability. Moreover it makes comparisons between results published by different authors delicate. We propose a method to built synthetic DCE-MRI sequences from typical time-intensity curves and an anatomical model that can be used for objective assessment of renal internal structures.","PeriodicalId":409817,"journal":{"name":"2010 18th European Signal Processing Conference","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132288693","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
Localization of acoustic sources based on the Teager-Kaiser Energy Operator 基于Teager-Kaiser能量算子的声源定位
2010 18th European Signal Processing Conference Pub Date : 2010-08-23 DOI: 10.5281/ZENODO.41941
A. Schasse, Rainer Martin
{"title":"Localization of acoustic sources based on the Teager-Kaiser Energy Operator","authors":"A. Schasse, Rainer Martin","doi":"10.5281/ZENODO.41941","DOIUrl":"https://doi.org/10.5281/ZENODO.41941","url":null,"abstract":"This paper presents a new approach of microphone array sampling and processing for acoustic source localization. By sampling circular arrays in a round robin fashion, nonlinear modulations are purposefully induced by means of the Doppler effect. The discrete time Teager-Kaiser Energy Operator is then used to analyze these modulations. It enables a batch-based localization of multiple sound sources at low complexity. The proposal system uses a small circular array but is suitable for other array geometries as well. In contrast to cross-correlation based localization techniques, we process only two signals while we maintain a circular symmetric system with no preferred look direction. Experiments are reported for up to 5 simultaneously active speech sources.","PeriodicalId":409817,"journal":{"name":"2010 18th European Signal Processing Conference","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123691166","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
Transceiver optimization and power control in wireless data networks with femtocells: A potential game-theoretic approach 飞蜂窝无线数据网络中的收发器优化和功率控制:一种潜在的博弈论方法
2010 18th European Signal Processing Conference Pub Date : 2010-08-23 DOI: 10.5281/ZENODO.42260
S. Buzzi, A. Zappone
{"title":"Transceiver optimization and power control in wireless data networks with femtocells: A potential game-theoretic approach","authors":"S. Buzzi, A. Zappone","doi":"10.5281/ZENODO.42260","DOIUrl":"https://doi.org/10.5281/ZENODO.42260","url":null,"abstract":"The problem of non-cooperative spreading code allocation, linear receiver design, and transmit power control for wireless networks employing femtocells is considered in this paper. Several utility functions to be maximized are considered, and, among them, we cite the received SINR, and the transmitter energy efficiency, which is measured in bit/Joule, and represents the number of successfully delivered bits for each energy unit used for transmission. Resorting to the theory of potential games, non-cooperative games admitting Nash equilibria in multi-cell networks regardless of the channel coefficient realizations are designed. Computer simulations confirm that the considered games are convergent, and permit to assess the benefic impact that femtocells have on the network performance.","PeriodicalId":409817,"journal":{"name":"2010 18th European Signal Processing Conference","volume":"435 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115935657","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
Musical genre classification based on a highly-resolved cepstral modulation spectrum 基于高分辨倒谱调制谱的音乐类型分类
2010 18th European Signal Processing Conference Pub Date : 2010-08-23 DOI: 10.5281/ZENODO.41849
A. Nagathil, Timo Gerkmann, Rainer Martin
{"title":"Musical genre classification based on a highly-resolved cepstral modulation spectrum","authors":"A. Nagathil, Timo Gerkmann, Rainer Martin","doi":"10.5281/ZENODO.41849","DOIUrl":"https://doi.org/10.5281/ZENODO.41849","url":null,"abstract":"We propose new features for musical genre classification which are based on the modulation spectrum of cepstral coefficients, and investigate the impact of the modulation frequency resolution on the classification accuracy. We compare the performance of the novel feature set which is derived from a high-resolution modulation spectrum to that of two feature sets which are either based on a coarsely resolved modulation spectrum or roughly summarize the modulation energy in a few bands. From the results of a 5-class musical genre classification experiment it can be concluded that a high modulation frequency resolution is crucial for representing the harmonic modulation structure of Electronic music in particular. The proposed features outperform the two competing methods with an overall detection rate of 81%. After computing the cepstral modulation spectrum with efficient FFT operations, the computational complexity for feature extraction is fairly low as only 22 low-level features need to be computed.","PeriodicalId":409817,"journal":{"name":"2010 18th European Signal Processing Conference","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115470814","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: 10
Efficient SNR-based subband post-processing for residual noise reduction in speech enhancement algorithms 语音增强算法中基于信噪比的有效子带后处理
2010 18th European Signal Processing Conference Pub Date : 2010-08-23 DOI: 10.5281/ZENODO.42240
F. Mustière, M. Bouchard, M. Bolic
{"title":"Efficient SNR-based subband post-processing for residual noise reduction in speech enhancement algorithms","authors":"F. Mustière, M. Bouchard, M. Bolic","doi":"10.5281/ZENODO.42240","DOIUrl":"https://doi.org/10.5281/ZENODO.42240","url":null,"abstract":"While current speech enhancement algorithms can significantly reduce background noise, the output speech is commonly unacceptably damaged - a strong penalty for sensitive applications. Alternatively, reducing the aggressiveness leads to more background residual noise - another rejection criterion in practice. In this work, a cost-effective technique for residual noise reduction is presented as a postprocessor for less aggressive enhancement algorithms. The main motivation is to keep their beneficial characteristics, and use the noisy and pre-enhanced signals to remove the remaining noise. The proposed method decomposes pre-enhanced signals into subbands, then performs framewise scaling of the downsampled subband time series based on the estimated Signal-to-Residual-Noise Ratio. Since many popular enhancement algorithms already operate in subbands, the application of the postprocessor is appealing from a computational standpoint. Results show the method consistently reduces background noise, with no further apparent speech damage, as reported by several objective measures and informal listening experiments.","PeriodicalId":409817,"journal":{"name":"2010 18th European Signal Processing Conference","volume":"41 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128481572","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 recursive errors-in-variables method for tracking time varying autoregressive parameters from noisy observations 一种从噪声观测中跟踪时变自回归参数的递归变量误差方法
2010 18th European Signal Processing Conference Pub Date : 2010-08-23 DOI: 10.5281/ZENODO.41910
J. Petitjean, É. Grivel, R. Diversi, R. Guidorzi
{"title":"A recursive errors-in-variables method for tracking time varying autoregressive parameters from noisy observations","authors":"J. Petitjean, É. Grivel, R. Diversi, R. Guidorzi","doi":"10.5281/ZENODO.41910","DOIUrl":"https://doi.org/10.5281/ZENODO.41910","url":null,"abstract":"Time Varying Autoregressive (TVAR) models play a key role in various applications such as radar processing, aeronautics and speech processing. Nevertheless, tracking TVAR parameters may be difficult, especially when the process is disturbed by an additive white noise. In this paper, we suggest the use of a recursive Errors-In-Variables method to estimate the variances of the driving process and the additive noise and to track TVAR parameters. This method is based on a Newton-Raphson algorithm. A comparative study with EKF, UKF and CDKF is also proposed.","PeriodicalId":409817,"journal":{"name":"2010 18th European Signal Processing Conference","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128643577","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
Crowd analysis by using optical flow and density based clustering 基于光流和密度聚类的人群分析
2010 18th European Signal Processing Conference Pub Date : 2010-08-23 DOI: 10.5281/ZENODO.42102
F. Santoro, Sergio Pedro, Z. Tan, T. Moeslund
{"title":"Crowd analysis by using optical flow and density based clustering","authors":"F. Santoro, Sergio Pedro, Z. Tan, T. Moeslund","doi":"10.5281/ZENODO.42102","DOIUrl":"https://doi.org/10.5281/ZENODO.42102","url":null,"abstract":"In this paper, we present a system to detect and track crowds in an image sequence captured by a camera. In the first step, we compute optical flows by means of pyramidal Lucas-Kanade feature tracking. Afterwards, a density based clustering is used to group similar vectors. In the last step, a crowd tracker is applied to each frame, allowing us to detect and track the crowds. The output of the system is given as a graphic overlay, i.e. arrows and circles with different colors are added to the original images to visualize crowds and their movements. Evaluation results show that the system is capable of detecting certain events in the crowds, such as merging, splitting and collision.","PeriodicalId":409817,"journal":{"name":"2010 18th European Signal Processing Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130088063","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: 31
Polynomial filter design for quantized consensus 量化一致性的多项式滤波器设计
2010 18th European Signal Processing Conference Pub Date : 2010-08-23 DOI: 10.5281/ZENODO.41911
D. Thanou, Hyunggon Park, E. Kokiopoulou, Pascal Fwssarr
{"title":"Polynomial filter design for quantized consensus","authors":"D. Thanou, Hyunggon Park, E. Kokiopoulou, Pascal Fwssarr","doi":"10.5281/ZENODO.41911","DOIUrl":"https://doi.org/10.5281/ZENODO.41911","url":null,"abstract":"We consider the problem of distributed average consensus where sensors exchange quantized data with their neighbors. We deploy a polynomial filtering approach in the network nodes in order to accelerate the convergence of the consensus problem. The quantization of the values computed by the sensors however imposes a careful design of the polynomial filter. We first study the impact of the quantization noise in the performance of accelerated consensus based on polynomial filtering. It occurs that the performance is clearly penalized by the quantization noise, whose impact directly depends on the filter coefficients. We then formulate a convex optimization problem for determining the coefficients of a polynomial filter, which is able to control the quantization noise while accelerating the convergence rate. The simulation results show that the proposed solution is robust to quantization noise while assuring a high convergence speed to the average value in the network.","PeriodicalId":409817,"journal":{"name":"2010 18th European Signal Processing Conference","volume":"153 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117143941","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 localization and speed estimation based on time-differences-of-arrival under temperature variations 温度变化下基于到达时差的声源定位与速度估计
2010 18th European Signal Processing Conference Pub Date : 2010-08-23 DOI: 10.5281/ZENODO.41904
P. Annibale, R. Rabenstein
{"title":"Acoustic source localization and speed estimation based on time-differences-of-arrival under temperature variations","authors":"P. Annibale, R. Rabenstein","doi":"10.5281/ZENODO.41904","DOIUrl":"https://doi.org/10.5281/ZENODO.41904","url":null,"abstract":"In the context of acoustic source localization, knowing the actual propagation speed is crucial especially in uncontrolled environments where the temperature is subject to significant changes that influence the sound speed. In a recent paper we showed the effects of the assumed propagation speed on the localization performance of two closed-form localization algorithms based on TDOA measurements. It has been shown that the so-called unconstrained least squares method is not significantly influenced by a wrongly assumed propagation speed, whereas the constrained method, the one statistically more attractive, is impaired even by small speed deviations. In this article we study in more depth the causes of this disparity and we propose a novel technique to estimate the propagation speed and improve the localization performance when the environment conditions, i.e. the air temperature, are not known exactly.","PeriodicalId":409817,"journal":{"name":"2010 18th European Signal Processing Conference","volume":"527 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124212891","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: 11
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