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2010 18th European Signal Processing Conference最新文献

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Cramér-Rao type lower bounds for relative sensor registration process 相对传感器配准过程的cram<s:1> - rao型下限
2010 18th European Signal Processing Conference Pub Date : 2011-03-01 DOI: 10.1109/TSP.2010.2097258
S. Fortunati, F. Gini, M. Greco, A. Farina, A. Graziano, S. Giompapa
{"title":"Cramér-Rao type lower bounds for relative sensor registration process","authors":"S. Fortunati, F. Gini, M. Greco, A. Farina, A. Graziano, S. Giompapa","doi":"10.1109/TSP.2010.2097258","DOIUrl":"https://doi.org/10.1109/TSP.2010.2097258","url":null,"abstract":"This paper concerns the study of the Cramér-Rao type lower bounds for relative sensor registration (or grid-locking) problem. The theoretical performance bound is of fundamental importance both for algorithm performance assessment and for prediction of the best achievable performance given sensor locations, sensor number, and accuracy of sensor measurements. First, a general description of the relative grid-locking problem is given. Afterwards, the measurement model is analyzed. In particular, the nonlinearity of the measurement model and all the biases (attitude biases, measurement biases, and position biases) are taken into account. Finally, the Cramér-Rao lower bound (CRLB) is discussed and two different types of CRLB, the Hybrid CRLB (HCRLB) and the Modified CRLB (MCRLB), are calculated. Theoretical and simulated results are shown.","PeriodicalId":409817,"journal":{"name":"2010 18th European Signal Processing Conference","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122711666","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
Efficient image correspondence measurements in airborne applications using inertial navigation sensors 在机载应用中使用惯性导航传感器的有效图像对应测量
2010 18th European Signal Processing Conference Pub Date : 2010-12-01 DOI: 10.5281/ZENODO.42217
M. Woods, A. Katsaggelos
{"title":"Efficient image correspondence measurements in airborne applications using inertial navigation sensors","authors":"M. Woods, A. Katsaggelos","doi":"10.5281/ZENODO.42217","DOIUrl":"https://doi.org/10.5281/ZENODO.42217","url":null,"abstract":"This paper presents a computationally efficient method for the measurement of a dense image correspondence vector field using supplementary data from an inertial navigation sensor. The application is suited to airborne imaging systems (such as on a UAV) where size, weight, and power restrictions limit the amount of onboard processing available. The limited processing will typically exclude the use of traditional, but expensive, optical flow algorithms such as Lucas-Kanade. Alternately, the measurements from an inertial navigation sensor lead to a closed-form solution to the correspondence field. Airborne platforms are also well suited to this application because they already possess inertial navigation sensors and global positioning systems (GPS) as part of their existing avionics package. We derive the closed form solution for the image correspondence vector field based on the inertial navigation sensor data. We then show experimentally that the inertial sensor solution outperforms traditional optical flow methods both in processing speed and accuracy.","PeriodicalId":409817,"journal":{"name":"2010 18th European Signal Processing Conference","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125235304","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
Combining observation models in dual exposure problems using the Kullback-Leibler divergence 利用Kullback-Leibler散度组合双重暴露问题的观测模型
2010 18th European Signal Processing Conference Pub Date : 2010-12-01 DOI: 10.5281/ZENODO.42245
M. Tallon, J. Mateos, S. D. Babacan, R. Molina, A. Katsaggelos
{"title":"Combining observation models in dual exposure problems using the Kullback-Leibler divergence","authors":"M. Tallon, J. Mateos, S. D. Babacan, R. Molina, A. Katsaggelos","doi":"10.5281/ZENODO.42245","DOIUrl":"https://doi.org/10.5281/ZENODO.42245","url":null,"abstract":"Photographs acquired under low-lighting conditions require long exposure times and therefore exhibit significant blurring due to the shaking of the camera. Using shorter exposure times results in sharper images but with a very high level of noise. By taking a pair of blurred/noisy images it is possible to reconstruct a sharp image without noise. This paper is devoted to the combination of observation models in the blurred/noisy image pair reconstruction problem. By examining the difference between the blurred image and the blurred version of the noisy image a third observation model is obtained. Based on the minimization of a linear convex combination of Kullback-Leibler divergences between posterior distributions, a procedure to combine the three observation models is proposed in the paper. The estimated images are compared with images provided by other reconstruction methods.","PeriodicalId":409817,"journal":{"name":"2010 18th European Signal Processing Conference","volume":"18 10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125817646","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
Phase detection in a visual-evoked-potential based brain computer interface 基于视觉诱发电位的脑机接口相位检测
2010 18th European Signal Processing Conference Pub Date : 2010-10-19 DOI: 10.5281/ZENODO.42236
G. G. Molina, Dan-hua Zhu, S. Abtahi
{"title":"Phase detection in a visual-evoked-potential based brain computer interface","authors":"G. G. Molina, Dan-hua Zhu, S. Abtahi","doi":"10.5281/ZENODO.42236","DOIUrl":"https://doi.org/10.5281/ZENODO.42236","url":null,"abstract":"Brain-computer interfaces (BCI) based on Steady State Visual Evoked Potential (SSVEP) can provide higher information transfer rate than other BCI modalities. For the sake of safety and comfort, the frequency of the repetitive visual stimulus (RVS) necessary to elicit an SSVEP, should be higher than 30 Hz. However, in the frequency range above 30 Hz, only a limited number of frequencies can elicit sufficiently strong SSVEPs for BCI purposes. Consequently, the conventional approach, consisting in presenting various repetitive visual stimuli having different frequency each, is not practical for SSVEP based BCI functioning. Indeed this would bring low communication bitrates. In order to increase the number of possible repetitive visual stimuli, we consider modulating the phase of the stimulus instead of the frequency. Thus, several stimuli, sharing the same frequency, but with different phase can be presented to the user. The approach presented in this document, to detect the phase of the stimulus is termed phase synchrony. It consists in using as feature, the phase difference between the SSVEP and the stimulus. The phase is extracted through the Hilbert transform applied on an univariate signal resulting from spatially filtering the electroencephalogram. The spatial filter is determined in such a way that the SSVEP energy is enhanced through a linear combination of the signals recorded at different positions on the scalp. Phase detection accuracy for seven subjects ranges from 70 to 94%.","PeriodicalId":409817,"journal":{"name":"2010 18th European Signal Processing Conference","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125118413","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: 23
Image registration for super resolution using scale invariant feature transform, belief propagation and random sampling consensus 基于尺度不变特征变换、信念传播和随机抽样一致性的超分辨率图像配准
2010 18th European Signal Processing Conference Pub Date : 2010-08-24 DOI: 10.5281/ZENODO.42086
Haidawati Nasir, V. Stanković, S. Marshall
{"title":"Image registration for super resolution using scale invariant feature transform, belief propagation and random sampling consensus","authors":"Haidawati Nasir, V. Stanković, S. Marshall","doi":"10.5281/ZENODO.42086","DOIUrl":"https://doi.org/10.5281/ZENODO.42086","url":null,"abstract":"Accurate image registration is crucial for the effectiveness of super resolution. In super resolution, image registration is used to find the disparity between low resolution images. In this paper an image registration approach based on a combination of Scale Invariant Feature Transform (SIFT), Belief Propagation (BP) and Random Sampling Consensus (RANSAC) is proposed for super resolution. The SIFT algorithm is used to detect and extract the local features in images, BP is used to match the features while RANSAC is adopted to filter out the mismatched points and then estimate the transformation matrix. The proposed method is compared with traditional SIFT to verify its accuracy and stability. Finally, the result of using the proposed approach in the super resolution application is given.","PeriodicalId":409817,"journal":{"name":"2010 18th European Signal Processing Conference","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114144186","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
Joint authentication and forward error correction of still images 静止图像的联合认证与前向纠错
2010 18th European Signal Processing Conference Pub Date : 2010-08-23 DOI: 10.5281/ZENODO.42079
A. Neri, D. Blasi, P. Campisi, E. Maiorana
{"title":"Joint authentication and forward error correction of still images","authors":"A. Neri, D. Blasi, P. Campisi, E. Maiorana","doi":"10.5281/ZENODO.42079","DOIUrl":"https://doi.org/10.5281/ZENODO.42079","url":null,"abstract":"Providing protection to the transmission of digital multimedia contents is nowadays an important requisite for many applications. However, it can also represent a great challenge, especially when dealing with wireless channels where, apart from preventing illegal data access, it would desiderable to possess the ability of discriminating between malicious data modifications and data distortions due to noise. In this paper we present a joint authentication, integrity verification and channel coding scheme, applied to the secure image transmission scenario. Experimental results, obtained through Monte Carlo simulations, show that the employed security mechanisms guarantee an efficient and secure way for real-time image encryption and transmission through wireless networks.","PeriodicalId":409817,"journal":{"name":"2010 18th European Signal Processing Conference","volume":"22 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":"124368700","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
Efficient synthesis of consistent graphs 一致图的有效合成
2010 18th European Signal Processing Conference Pub Date : 2010-08-23 DOI: 10.5281/ZENODO.42063
M. Kreissig, Bin Yang
{"title":"Efficient synthesis of consistent graphs","authors":"M. Kreissig, Bin Yang","doi":"10.5281/ZENODO.42063","DOIUrl":"https://doi.org/10.5281/ZENODO.42063","url":null,"abstract":"A consistent graph is a graph with zero cyclic sum of weights of edges along all loops. Given a number of possible weights for each edge, we study the problem of synthesizing consistent graphs, i.e. to find the appropriate combinations of weights, which form consistent graphs. This problem plays an important role in, e.g. source localization based on time difference of arrival (TDOA). By using the concept of loop matrix known from the electric network theory, we propose some novel systematic approaches for the efficient synthesis of consistent graphs. We describe our algorithms, demonstrate their performance and compare their computational complexity, both in theory and in experiments.","PeriodicalId":409817,"journal":{"name":"2010 18th European Signal Processing Conference","volume":"105 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":"124834911","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
Time-variant harmonic and transient signal modeling by joint polynomial and piecewise linear approximation 基于联合多项式和分段线性逼近的时变谐波和暂态信号建模
2010 18th European Signal Processing Conference Pub Date : 2010-08-23 DOI: 10.5281/ZENODO.41900
M. Zivanovic, J. Schoukens
{"title":"Time-variant harmonic and transient signal modeling by joint polynomial and piecewise linear approximation","authors":"M. Zivanovic, J. Schoukens","doi":"10.5281/ZENODO.41900","DOIUrl":"https://doi.org/10.5281/ZENODO.41900","url":null,"abstract":"We present a compact approach to simultaneous modeling of non-stochastic time-variant components in audio signals. We show that the harmonic energy can be properly described by a single polynomial, while short events are well captured by a continuous piecewise linear function. The proposed method is robust to fundamental frequency estimation errors and inharmonicities in the audio signal. The comparative results suggest that our method achieves the performance of the state-of-the-art by using much less parameters and thus yielding higher computational efficiency.","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":"125153267","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
Distributed video coding with particle filtering for correlation tracking 基于粒子滤波的分布式视频编码相关跟踪
2010 18th European Signal Processing Conference Pub Date : 2010-08-23 DOI: 10.5281/ZENODO.41834
L. Stanković, V. Stanković, Shuang Wang, Samuel Cheng
{"title":"Distributed video coding with particle filtering for correlation tracking","authors":"L. Stanković, V. Stanković, Shuang Wang, Samuel Cheng","doi":"10.5281/ZENODO.41834","DOIUrl":"https://doi.org/10.5281/ZENODO.41834","url":null,"abstract":"One of the main challenges of distributed video coding (DVC) is that correlation among source and side information needs to be estimated and well modelled a priori. Since in DVC correlation dynamically changes with the scene, in order to get the full benefit from powerful distributed source code (DSC) designs, predicting and tracking correlation is essential. This paper proposes an adaptive scheme based on integrated particle filtering within the LDPC-based DSC that dynamically tracks the changes in image correlation to enhance belief propagation LDPC decoding. The system maintains its low encoder complexity, showing significant performance improvement compared to the case without dynamic particle filtering tracking.","PeriodicalId":409817,"journal":{"name":"2010 18th European Signal Processing Conference","volume":"21 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":"126941116","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
Polynomial-based digital filters as prototype filters in DFT modulated filter banks 基于多项式的数字滤波器作为DFT调制滤波器组的原型滤波器
2010 18th European Signal Processing Conference Pub Date : 2010-08-23 DOI: 10.5281/ZENODO.41999
D. Babic, H. Göckler
{"title":"Polynomial-based digital filters as prototype filters in DFT modulated filter banks","authors":"D. Babic, H. Göckler","doi":"10.5281/ZENODO.41999","DOIUrl":"https://doi.org/10.5281/ZENODO.41999","url":null,"abstract":"In this paper, we investigate the possibility to use polynomial-based digital FIR filters as prototype filters in DFT and cosine modulated filter banks. In order to apply the FIR filter with piecewise polynomial response as prototype filter in the filter bank, it is beneficial to find expressions for polyphase components of the filter. In the paper it is shown that it is possible to construct the two following polyphase decompositions of polynomial-based digital filters for implementation; (i) polyphase decomposition based on the prolonged Farrow structure, and (ii) polyphase decomposition based on the transposed Farrow structure. The paper shows that both polyphase structures have the same multiplication rate, while the polyphase decomposition based on the prolonged Farrow structure has a considerable smaller number of multipliers. Both structures are equivalent in terms of filter performance in the frequency domain, and can be used as prototype filter in DFT and cosine modulated filter bank.","PeriodicalId":409817,"journal":{"name":"2010 18th European Signal Processing Conference","volume":"91 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":"129036090","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
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