{"title":"An LMMSE-based merging approach for subpixel-based downsampling","authors":"Lu Fang, O. Au, Xing Wen, Yi Yang, Weiran Tang","doi":"10.5281/ZENODO.41622","DOIUrl":"https://doi.org/10.5281/ZENODO.41622","url":null,"abstract":"Subpixel-based downsampling improves resolution at the cost of color fringing artifacts. In this paper, we propose a novel multiple descriptions approach for subpixel-based downsampling. Each description is treated as a noisy observation of the original image and an optimal linear estimator based on the LMMSE criteria is applied in the DCT domain to combine multiple descriptions. Simulation result shows that the proposed method gives sharper resultant images while being free of color fringing artifacts with compared to the resultant images of the conventional downsampling methods.","PeriodicalId":106989,"journal":{"name":"2009 17th European Signal Processing Conference","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126222179","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}
Jae-Mo Yang, Chang-Heon Lee, Seungil Kim, Hong-Goo Kang
{"title":"A robust time difference of arrival estimator in reverberant environments","authors":"Jae-Mo Yang, Chang-Heon Lee, Seungil Kim, Hong-Goo Kang","doi":"10.5281/ZENODO.41656","DOIUrl":"https://doi.org/10.5281/ZENODO.41656","url":null,"abstract":"This paper proposes a robust generalized cross correlation (GCC)-based time difference of arrival (TDOA) estimator in reverberant and noisy environments. Under the assumption that the phase of cross channel power spectrum should be linear in a normal single source environment, the effect of reverberation to cross power spectrum is directly reduced by a recursive estimation method. An adaptive smoothing process is also designed to make the system more robust. Simulation results with a two-channel microphone system verify that the proposed algorithm significantly improves the accuracy of TDOA by enhancing phase linearity in various reverberant environments. Also, the reliability of proposed system is confirmed by the experiments performed in additional background noise conditions. Finally, we confirm the superiority of the proposed algorithm from the results of real room experiments.","PeriodicalId":106989,"journal":{"name":"2009 17th European Signal Processing Conference","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127498498","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":"Acoustic reconstruction of the geometry of an environment through acquisition of a controlled emission","authors":"D. Aprea, F. Antonacci, A. Sarti, S. Tubaro","doi":"10.5281/ZENODO.41639","DOIUrl":"https://doi.org/10.5281/ZENODO.41639","url":null,"abstract":"This paper presents a novel solution for the reconstruction of an environment from the acquisition of a controlled emission, in particular for what concerns the estimation of the position of acoustic reflectors. The solution proposed in this paper makes use of a loudspeaker rotating on a circular pattern and emitting a controlled noise and a microphone located at the center of the circle. A likelihood map is built by means of a template matching between the signal acquired at the microphone and a template signal obtained by simulating the propagation of the signal to all the potential obstacles locations. The position of the reflectors is inferred by the analysis of the likelihood map. Simulations assess the best working conditions for the device in terms of test signal duration, radius of the circular trajectory and Signal to Noise Ratio. A simulation has been carried out also in the presence of multiple and interacting reflectors to show the feasibility of the approach also in more complex scenarios.","PeriodicalId":106989,"journal":{"name":"2009 17th European Signal Processing Conference","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124908862","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 segmentation free approach for indexing digitized Syriac manuscripts","authors":"P. Bilane, S. Bres, Khalil Challita, H. Emptoz","doi":"10.5281/ZENODO.41477","DOIUrl":"https://doi.org/10.5281/ZENODO.41477","url":null,"abstract":"This paper presents a method to assist the indexation of digitized Syriac manuscripts. Syriac belongs to the Aramaic branch of Semitic languages, it is written from right to left, and the characters hold the feature of being intentionally tilted by an angle of approximately 45°. For the indexation purpose we propose a word spotting approach that should locate all the occurrences of a certain query word image. The method is based on a selective sliding window technique from which directional features are extracted. Matching between features is done using Euclidean distance correspondence. The proposed method does not require any prior information, it is also fully independent of a word to character segmentation algorithm, which would be extremely difficult to realize due to the tilted nature of the handwriting.","PeriodicalId":106989,"journal":{"name":"2009 17th European Signal Processing Conference","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124303736","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":"Closed-form optimized composite-order estimator for blind separation of instantaneous linear mixtures","authors":"S. Abrar, A. Nandi","doi":"10.5281/ZENODO.41501","DOIUrl":"https://doi.org/10.5281/ZENODO.41501","url":null,"abstract":"In the field of blind source separation, formulation of closed-form estimators constitutes an important framework. In this work, we present an optimal composition of third- and fourth-order cumulants leading to a closed-form ICA estimator for a pair-wise blind source separation. We introduce a free weight parameter in combining the cumulants and evaluated its optimal value such that the mean-square estimation of Givens rotation is minimized. We have shown that the optimal value of weight parameter depends on the statistical knowledge of the mixing signals and additive Gaussian noise. Computer simulations have been performed to illustrate the behavior of the proposed optimized closed-form estimator for the maximization of the weighted contrast.","PeriodicalId":106989,"journal":{"name":"2009 17th European Signal Processing Conference","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121954205","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":"Exploiting geometric translations in TLS based robot localization from landmark bearings","authors":"K. Doğançay","doi":"10.5281/ZENODO.41600","DOIUrl":"https://doi.org/10.5281/ZENODO.41600","url":null,"abstract":"In a previous study we showed that the total least squares (TLS) estimation performance for bearings-only localization is dependent on coordinate shifts. In this paper we extend this study to TLS-based robot localization from landmark bearings. We show that unlike nonlinear least squares estimators the TLS estimation performance is sensitive to where the local Cartesian coordinates are placed in the two-dimensional plane. Thus for a given set of landmark bearing measurements collected by a robot, the TLS performance is influenced by where the local coordinates are placed. The dependence of the TLS estimation bias on local coordinate translations is due to the dependence of TLS perturbations on local coordinate translations. We observe that the TLS estimate performs almost as well as the maximum likelihood estimate as the origin of the local coordinates is placed sufficiently away from the landmarks.","PeriodicalId":106989,"journal":{"name":"2009 17th European Signal Processing Conference","volume":"164 2-3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122747009","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}
Jean-Louis Durrieu, A. Ozerov, C. Févotte, G. Richard, B. David
{"title":"Main instrument separation from stereophonic audio signals using a source/filter model","authors":"Jean-Louis Durrieu, A. Ozerov, C. Févotte, G. Richard, B. David","doi":"10.5281/ZENODO.41644","DOIUrl":"https://doi.org/10.5281/ZENODO.41644","url":null,"abstract":"We propose a new approach to solo/accompaniment separation from stereophonic music recordings which extends a monophonic algorithm we recently proposed. The solo part is modelled using a source/filter model to which we added two contributions: an explicit smoothing strategy for the filter frequency responses and an unvoicing model to catch the stochastic parts of the solo voice. The accompaniment is modelled as a general instantaneous mixture of several components leading to a Nonnegative Matrix Factorization framework. The stereophonic signal is assumed to be the instantaneous mixture of the solo and accompaniment contributions. Both channels are then jointly used within a Maximum Likelihood framework to estimate all the parameters. Three rounds of parameter estimations are necessary to sequentially estimate the melody, the voiced part and at last the unvoiced part of the solo. Our tests show that there is a clear improvement from a monophonic reference system to the proposed stereophonic system, especially when including the unvoicing model. The smoothness of the filters does not provide the desired improvement in solo/accompaniment separation, but may be useful in future applications such as lyrics recognition. At last, our submissions to the Signal Separation Evaluation Campaign (SiSEC), for the “Professionally Produced Music Recordings” task, obtained very good results.","PeriodicalId":106989,"journal":{"name":"2009 17th European Signal Processing Conference","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125009776","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":"Classification of user states with physiological signals: On-line generic features vs. specialized feature sets","authors":"F. Hönig, J. Wagner, A. Batliner, E. Nöth","doi":"10.5281/ZENODO.41642","DOIUrl":"https://doi.org/10.5281/ZENODO.41642","url":null,"abstract":"For on-line classification of user states such as emotions or stress levels, we present a new, generic, and efficient physiological feature set. In contrast to common approaches using features specifically tailored to each physiological signal, we break up feature extraction into a simple, signal-specific pre-processing step, and the calculation of a comprehensive set of signal-independent features. This systematizes feature design for each physiological signal and facilitates the transfer to other signals. The time complexity of the approach is independent of the size of the analysis window and of the frequency with which feature vectors are computed for classification. We also provide a variant of the feature set that has low memory requirements. Thus, our approach is well suited for implementing real-time applications. We evaluate the proposed features with an emotion and a stress classification task, showing that they are competitive w.r.t. the performance of classifications using signal-tuned state-of-the-art features.","PeriodicalId":106989,"journal":{"name":"2009 17th European Signal Processing Conference","volume":"180 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122223443","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":"Time-frequency characterisation for electric load monitoring","authors":"M. El-Guedri, G. D'Urso, C. Lajaunie, G. Fleury","doi":"10.5281/ZENODO.41400","DOIUrl":"https://doi.org/10.5281/ZENODO.41400","url":null,"abstract":"Electric utilities and consumers are increasingly interested in energy monitoring for economic and environmental reasons. A non-intrusive solution may rely on information extracted from the electric consumption measured at a centralized part of a distribution network. The problem at hands consists in the separation of the electric load into its major components. This problem of source separation from one sensor is quite tractable under certain conditions. In this work, the focus is made on the most consuming household appliance in France: the space-heating. It is a sum of an unknown number of pseudo-periodic signals embedded in the global active power. An unsupervised algorithm to determine the space-heating schedule from the global consumption based on the interpretation of the space-heating signature in the time-frequency domain is proposed. The proposed method conjoins a time-frequency detector and a frequent itemsets extraction. First results on real data are quite satisfying.","PeriodicalId":106989,"journal":{"name":"2009 17th European Signal Processing Conference","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123485514","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 stochastic model for the deficient length Pseudo Affine Projection adaptive algorithm","authors":"S. Almeida, M. Costa, J. Bermudez","doi":"10.5281/ZENODO.41360","DOIUrl":"https://doi.org/10.5281/ZENODO.41360","url":null,"abstract":"This paper presents a statistical analysis of the deficient length Pseudo Affine Projection (PAP) adaptive algorithm. The PAP algorithm is obtained by introducing a step size control parameter in the weight update equation of the unity step size Affine Projection (AP) algorithm assuming autoregressive input signals. The deficient case occurs when the number of adaptive coefficients is smaller than the necessary to whiten the error signal. Deterministic recursive equations are derived for the mean weight and mean-square error behaviours. Monte Carlo simulations show excellent agreement with the theoretically predicted behaviour in steady-state conditions. It is shown that the PAP coefficients converge in the mean to the initial plant coefficients, producing an unbiased solution even for correlated inputs.","PeriodicalId":106989,"journal":{"name":"2009 17th European Signal Processing Conference","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131609489","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}