E. Mabande, Haohai Sun, K. Kowalczyk, Walter Kellermann
{"title":"Comparison of subspace-based and steered beamformer-based reflection localization methods","authors":"E. Mabande, Haohai Sun, K. Kowalczyk, Walter Kellermann","doi":"10.5281/ZENODO.42565","DOIUrl":"https://doi.org/10.5281/ZENODO.42565","url":null,"abstract":"This paper presents a comparative study of several techniques that are applicable to the localization of the most significant reflectors in an acoustic environment. It focuses on subspace-based and steered beamformer-based localization techniques and includes eigenbeam (EB)-ESPRIT, EB-MUSIC, and EB-minimum variance distortionless response (EB-MVDR) methods. The directions of arrival (DOAs) of the sound sources and reflective surfaces in an acoustic environment are estimated from the acoustic images of rooms, which are obtained using a microphone array. The applicability of the presented methods in practice is confirmed by experimental results from real measurements.","PeriodicalId":331889,"journal":{"name":"2011 19th European Signal Processing Conference","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124342528","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}
{"title":"Minimax Robust Power Allocation over parallel communication channels","authors":"M. D. Nisar, W. Utschick","doi":"10.5281/ZENODO.42502","DOIUrl":"https://doi.org/10.5281/ZENODO.42502","url":null,"abstract":"Adapting the transmission strategy under partial or uncertain channel state information (CSI) at the transmitter is of importance in practical systems with imperfect channel knowledge. In this work, we consider the problem of power allocation in a system of parallel communication sub-channels with uncertain CSI. We adopt the robust (minimax) optimization methodology and attempt to arrive at a novel precoding strategy that guarantees a certain worst-case performance, but without being too conservative in terms of average performance. To this end, we precisely model the underlying sources of uncertainty, and characterize the typical norm-constrained uncertainty set by an additional unbiasedness constraint. This helps to reduce the severity of the worst-case scenario, and in turn leads to a less conservative, robust minimax power allocation strategy with superior average performance.","PeriodicalId":331889,"journal":{"name":"2011 19th European Signal Processing Conference","volume":"29 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131844276","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}
Qingju Liu, S. M. Naqvi, Wenwu Wang, P. Jackson, J. Chambers
{"title":"Robust feature selection for scaling ambiguity reduction in audio-visual convolutive BSS","authors":"Qingju Liu, S. M. Naqvi, Wenwu Wang, P. Jackson, J. Chambers","doi":"10.5281/ZENODO.42561","DOIUrl":"https://doi.org/10.5281/ZENODO.42561","url":null,"abstract":"Information from video has been used recently to address the issue of scaling ambiguity in convolutive blind source separation (BSS) in the frequency domain, based on statistical modeling of the audio-visual coherence with Gaussian mixture models (GMMs) in the feature space. However, outliers in the feature space may greatly degrade the system performance in both training and separation stages. In this paper, a new feature selection scheme is proposed to discard non-stationary features, which improves the robustness of the coherence model and reduces its computational complexity. The scaling parameters obtained by coherence maximization and non-linear interpolation from the selected features are applied to the separated frequency components to mitigate the scaling ambiguity. A multimodal database composed of different combinations of vowels and consonants was used to test our algorithm. Experimental results show the performance improvement with our proposed algorithm.","PeriodicalId":331889,"journal":{"name":"2011 19th European Signal Processing Conference","volume":"236 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115502859","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}
M. Z. Shakir, Wuchen Tang, M. Imran, Mohamed-Slim Alouini
{"title":"Collaborative spectrum sensing based on upper bound on joint PDF of extreme eigenvalues","authors":"M. Z. Shakir, Wuchen Tang, M. Imran, Mohamed-Slim Alouini","doi":"10.5281/ZENODO.42592","DOIUrl":"https://doi.org/10.5281/ZENODO.42592","url":null,"abstract":"Detection based on eigenvalues of received signal covariance matrix is currently one of the most effective solution for spectrum sensing problem in cognitive radios. However, the results of these schemes often depend on asymptotic assumptions since the distribution of ratio of extreme eigenvalues is exceptionally mathematically complex to compute in practice. In this paper, a new approach to determine the distribution of ratio of the largest and the smallest eigenvalues is introduced to calculate the decision threshold and sense the spectrum. In this context, we derive a simple and analytically tractable expression for the distribution of the ratio of the largest and the smallest eigenvalues based on upper bound on the joint probability density function (PDF) of the largest and the smallest eigenvalues of the received covariance matrix. The performance analysis of proposed approach is compared with the empirical results. The decision threshold as a function of a given probability of false alarm is calculated to illustrate the effectiveness of the proposed approach.","PeriodicalId":331889,"journal":{"name":"2011 19th European Signal Processing Conference","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121953647","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}
{"title":"Robust acoustic speaker localization with distributed microphones","authors":"F. Hummes, Junge Qi, T. Fingscheidt","doi":"10.5281/ZENODO.42457","DOIUrl":"https://doi.org/10.5281/ZENODO.42457","url":null,"abstract":"This contribution to acoustic source localization presents a robust approach verified with ten distributed microphones in a laboratory apartment under reverberant acoustic conditions. Based on the classical steered response power phase transform (SRP-PHAT) algorithm, three optional extensions are presented: A method for selecting suitable microphone pairs, a spatial Wiener-type filtering for the suppression of artifacts in the spatial likelihood function (stemming from background noise), and finally smoothing of the spatial likelihood function. Simulation results show a significant improvement compared to SRP-PHAT in all noise conditions.","PeriodicalId":331889,"journal":{"name":"2011 19th European Signal Processing Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131079839","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}
{"title":"Minimax passband group delay nonlinear fir filter design without imposing desired phase response","authors":"C. Y. Ho, B. Ling, H. H. Dam, K. Teo","doi":"10.5281/ZENODO.42541","DOIUrl":"https://doi.org/10.5281/ZENODO.42541","url":null,"abstract":"In this paper, a nonlinear phase finite impulse response (FIR) filter is designed without imposing a desired phase response. The maximum passband group delay of the filter is minimized subject to a positivity constraint on the passband group delay response of the filter as well as a specification on the maximum absolute difference between the desired magnitude square response and the designed magnitude square response over both the passband and the stopband. This filter design problem is a nonsmooth functional inequality constrained optimization problem. To tackle this problem, first, the one norm functional inequality constraint of the optimization problem is approximated by a smooth function so that the nonsmooth functional inequality constrained optimization problem is approximated as a noncon-vex functional inequality constrained optimization problem. Then, a modified filled function method is applied for finding the global minimum of the nonconvex optimization problem. Computer numerical simulation results show that our designed nonlinear phase peak constrained FIR filter could achieve lower minimum passband group delay than those of existing designs.","PeriodicalId":331889,"journal":{"name":"2011 19th European Signal Processing Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130917857","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}
{"title":"Multiresolution decomposition using morphological filters for 3D volume image decorrelation","authors":"Dragana D. Sandić-Stanković","doi":"10.5281/ZENODO.42411","DOIUrl":"https://doi.org/10.5281/ZENODO.42411","url":null,"abstract":"The efficiency of multiresolution decomposition using morphological filters for 3D volume image decorrelation in lossless compression and computational complexity are evaluated. More efficient decorrelation is performed using morphological wavelets for multiresolution data representation than using Laplacian style pyramidal decomposition with morphological filters. Morphological wavelets are also faster in implementation than morphological pyramids. The computation time of the multiresolution decomposition implemented by morphological wavelets is 3 times shorter than the computation time of the wavelet decomposition with 5/3 filters used in JPEG2000 standard with similar decorrelation efficiency for lossless compression.","PeriodicalId":331889,"journal":{"name":"2011 19th European Signal Processing Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129260015","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}
{"title":"Energy-efficient link adaptation on parallel channels","authors":"C. Isheden, G. Fettweis","doi":"10.5281/ZENODO.42716","DOIUrl":"https://doi.org/10.5281/ZENODO.42716","url":null,"abstract":"Energy-efficient link adaptation is studied for transmission on a parallel channel. The total power dissipation model includes circuit power and a power amplifier inefficiency parameter. Earlier results are derived in various ways based on convex minimization problems and concave maximization problems, respectively. It is shown that the fixed-point algorithm proposed earlier by the authors is equivalent to the Dinkelbach method for solving nonlinear fractional programs.","PeriodicalId":331889,"journal":{"name":"2011 19th European Signal Processing Conference","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126436387","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}
{"title":"A novel Fourier transform estimation method using random sampling","authors":"M. Al-Ani, A. Tarczynski, B. I. Ahmad","doi":"10.5281/ZENODO.42725","DOIUrl":"https://doi.org/10.5281/ZENODO.42725","url":null,"abstract":"This paper considers Fourier transform estimation of deterministic signals from a finite number of random samples. We refer to the recently reported methods by Masry facilitating significant acceleration of the convergence rates of the Fourier transform estimates with the growing number of samples. The acceleration does not start uniformly across all frequencies. It starts at DC and its close neighborhood. Then it spreads to higher frequencies once the average sampling rates significantly increase. In this paper we propose a modification of the signal sampling methods and appropriate to them data processing algorithms to allow moving away from zero the frequency about which the acceleration starts to practically any point in the frequency domain. We derive an expression of the mean-square error of the estimated spectrum as a measure of accuracy. Simulation results confirm the validity of the results presented in this paper.","PeriodicalId":331889,"journal":{"name":"2011 19th European Signal Processing Conference","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120904933","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}
Caroline Conti, João Lino, P. Nunes, Luís Ducla Soares, P. Correia
{"title":"Improved spatial prediction for 3D holoscopic image and video coding","authors":"Caroline Conti, João Lino, P. Nunes, Luís Ducla Soares, P. Correia","doi":"10.5281/ZENODO.42649","DOIUrl":"https://doi.org/10.5281/ZENODO.42649","url":null,"abstract":"Holoscopic imaging, also known as integral imaging, is promising to change the market for 3D television since it provides a solution for glassless 3D. This paper starts by making a brief presentation of the general concepts behind holoscopic imaging, with a special emphasis on the spatial correlations that are present in this type of content, which are caused by the micro-lens array used both for acquisition and display. Behind this micro-lens array, many micro-images with a high cross-correlation between them are formed; in these micro-images only one pixel is viewable from a given observation point. This high cross-correlation can be seen as a form of self-similarity within the holoscopic image and it can effectively be exploited for coding. Therefore, in order to explore this self-similarity of holoscopic images, a novel scheme for spatial prediction is proposed in this paper. The proposed scheme can be used for coding both still images and intra-frames in video. Experimental results based on a modified H.264/AVC video codec that can handle 3D holoscopic images and video are presented and clearly show the advantages of using this approach.","PeriodicalId":331889,"journal":{"name":"2011 19th European Signal Processing Conference","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116723291","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}