1,721,027 research outputs found
Separation Of Sparse Signals In Overdetermined Linear-quadratic Mixtures
No full textIn this work, we deal with the problem of nonlinear blind source separation (BSS). We propose a new method for BSS in overdetermined linear-quadratic (LQ) mixtures. By exploiting the assumption that the sources are sparse in a transformed domain, we define a framework for canceling the nonlinear part of the mixing process. After that, separation can be conducted by linear BSS algorithms. Experiments with synthetic data are performed to assess the viability of our proposal. © 2012 Springer-Verlag.7191 LNCS239246Yitzhak Chaya Weinstein Res. Inst. Signal Process.,Tel-Aviv University,The Technion - Israel Institute of Technology,Bar-Ilan University,The Advanced Communication CenterComon, P., Jutten, C., (2010) Handbook of Blind Source Separation, Independent Component Analysis and Applications, , Academic Press, ElsevierRomano, J.M.T., Attux, R.R.F., Cavalcante, C.C., Suyama, R., (2011) Unsupervised Signal Processing: Channel Equalization and Source Separation, , CRC PressDuarte, L.T., Jutten, C., Moussaoui, S., A Bayesian nonlinear source separation method for smart ion-selective electrode arrays (2009) IEEE Sensors Journal, 9 (12), pp. 1763-1771Meganem, I., Deville, Y., Hosseini, S., Déliot, P., Briottet, X., Duarte, L.T., Linear-quadratic and polynomial non-negative matrix factorizationapplication to spectral unmixing (2011) Proc. of the 19th European Signal Processing Conference, EUSIPCO 2011Jutten, C., Karhunen, J., Advances in blind source separation (BSS) and independent component analysis (ICA) for nonlinear mixtures (2004) International Journal of Neural Systems, 14, pp. 267-292Comon, P., Independent component analysis, a new concept? (1994) Signal Processing, 36, pp. 287-314Hosseini, S., Deville, Y., Blind Separation of Linear-Quadratic Mixtures of Real Sources Using a Recurrent Structure (2003) LNCS, 2687, pp. 241-248. , Mira, J., Álvarez, J.R. (eds.) IWANN 2003. Springer, HeidelbergMerrikh-Bayat, F., Babaie-Zadeh, M., Jutten, C., Linear-quadratic blind source separating structure for removing show-through in scanned documents (2010) International Journal on Document Analysis and Recognition, pp. 1-15Bedoya, G., (2006) Nonlinear Blind Signal Separation for Chemical Solid-state Sensor Arrays, , PhD thesis, Universitat Politecnica de CatalunyaDeville, Y., Hosseini, S., Recurrent networks for separating extractable-target non-linear mixtures. part i: Non-blind configurations (2009) Signal Processing, 89, pp. 378-393Castella, M., Inversion of polynomial systems and separation of nonlinear mixtures of finite-alphabet sources (2008) IEEE Trans. on Sig. Proc., 56 (8), pp. 3905-3917Abed-Meraim, K., Belouchrani, A., Hua, Y., Blind identification of a linear-quadratic mixture of independent components based on joint diagonalization procedure Proc. of the IEEE Inter. Conf. on Acous., Spee., and Signal Processing, ICASSP (1996)Deville, Y., Hosseini, S., Blind identification and separation methods for linear-quadratic mixtures and/or linearly independent non-stationary signals Proc. of the 9th Int. Symp. on Sig. Proc. and Its App., ISSPA (2007)Duarte, L.T., Suyama, R., Attux, R., Deville, Y., Romano, J.M.T., Jutten, C., Blind Source Separation of Overdetermined Linear-Quadratic Mixtures (2010) LNCS, 6365, pp. 263-270. , Vigneron, V., Zarzoso, V., Moreau, E., Gribonval, R., Vincent, E. (eds.) LVA/ICA 2010. Springer, HeidelbergElad, M., (2010) Sparse and Redundant Representations from Theory to Applications in Signal and Image Processing, , Springer, HeidelbergMohimani, H., Babaie-Zadeh, M., Jutten, C., A fast approach for overcomplete sparse decomposition based on smoothed ℓ 0 norm (2009) IEEE Transactions on Signal Processing, 57 (1), pp. 289-301Duarte, L.T., Suyama, R., Attux, R., Romano, J.M.T., Jutten, C., Blind extraction of sparse components based on ℓ 0-norm minimization Proc. of the IEEE Statistical Signal Processing Workshop, SSP (2011
Blind Extraction Of Sparse Components Based On L0-norm Minimization
No full textWe investigate the application of cost functions based on the 0-norm to the problem of blind source extraction (BSE). We show that if the sources have different levels of sparsity, then the minimization of the 0-norm leads to the extraction of the sparsest component even when the sources are statistically dependent. We also study the conditions guaranteeing BSE when an approximation of the 0-norm is considered. Finally, we provide a numerical example to illustrate the applicability of our proposal. © 2011 IEEE.617620Comon, P., Jutten, C., (2010) Handbook of Blind Source Separation: Independent Component Analysis and Applications, , Academic PressDelfosse, N., Loubaton, P., Adaptive blind separation of independent sources: A deflation approach (1995) Signal Processing, 45, pp. 59-83Hyvärinen, A., Karhunen, J., Oja, E., (2001) Independent Component Analysis, , John Wiley & SonsMourad, N., Reilly, J.P., Blind extraction of sparse sources (2010) Proc. of IEEE ICASSP, pp. 2666-2669Nadalin, E.Z., Takahata, A.K., Duarte, L.T., Suyama, R., Attux, R., Blind extraction of the sparsest component (2010) LNCS, 6365, pp. 263-270Elad, M., (2010) Sparse and Redundant Representations from Theory to Applications in Signal and Image Processing, , SpringerBabaie-Zadeh, H., Mohimani, M., Jutten, C., A fast approach for overcomplete sparse decomposition based on smoothed l0 norm (2009) IEEE Trans. on Sig. Proc., 57, pp. 289-301Weston, J., Elisseeff, A., Schölkopf, B., Use of the zeronorm with linear models and kernel methods (2003) Jour. of Machine Lear. Res., 3, pp. 1439-146
Source Separation Of Baseband Signals In Post-nonlinear Mixtures
No full textUsually, source separation in Post-Nonlinear (PNL) models is achieved via one-stage methods, i.e. the two parts (linear and nonlinear) of a PNL model are dealt with at the same time. However, recent works have shown that the development of two-stage techniques may simplify the problem. Indeed, if the nonlinear stage can be compensated separately, then, in a second moment, one can make use of the well-established source separation algorithms for the linear case. Motivated by that, we propose in this work a novel two-stage PNL method relying on the assumption that the sources are bandlimited signals. In the development of our method, special care is taken in order to make it as robust as possible to noise. Simulation results attest the effectiveness of the proposal. © 2009 IEEE.IEEE Signal Processing SocietyJutten, C., Karhunen, J., Advances in blind source separation (BSS) and independent component analysis (ICA) for nonlinear mixtures (2004) International Journal of Neural Systems, 14, pp. 267-292Taleb, A., Jutten, C., Source separation in post-nonlinear mixtures (1999) IEEE Trans. on Signal Processing, 47 (10), pp. 2807-2820Solé-Casals, J., Babaie-Zadeh, M., Jutten, C., Pham, D.-T., Improving algorithm speed in pnl mixture separation and wiener system inversion Proceedings of the ICA 2003, 2003Babaie-Zadeh, M., Jutten, C., Nayebi, K., A geometric approach for separating post non-linear mixtures Proceedings of the EUSIPCO 2002, Toulouse, France, 2002, pp. 11-14Masry, E., The recovery of distorted band-limited stochastic processes (1973) IEEE Trans. on Information Theory, 19 (4), pp. 398-403Dogançay, K., Blind compensation of nonlinear distortion for bandlimited signals (2005) IEEE Transactions on Circuits and Systems I: Regular Papers, 52 (9), pp. 1872-1882. , DOI 10.1109/TCSI.2005.852936De Castro, L.N., Timmis, J., An artificial immune network for multimodal function optimization Proc. of ICEC'02, Honolulu, Hawaii, 2002, pp. 699-1674Duarte, L.T., Jutten, C., Moussaoui, S., Ion-selective electrode array based on a Bayesian nonlinear source separation method Proceedings of the ICA 2009, 2009Belouchrani, A., Abed-Meraim, K., Cardoso, J.-F., Moulines, E., A blind source separation technique using second-order statistics (1997) IEEE Transactions on Signal Processing, 45 (2), pp. 434-444. , PII S1053587X9701178
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
Capacity and Limits of Multimodal Remote Sensing: Theoretical Aspects and Automatic Information Theory-Based Image Selection
No full textAlthough multimodal remote sensing data analysis can strongly improve the characterization of physical phenomena on Earth's surface, nonidealities and estimation imperfections between records and investigation models can limit its actual information extraction ability. In this article, we aim at predicting the maximum information extraction that can be reached when analyzing a given data set. By means of an asymptotic information theory-based approach, we investigate the reliability and accuracy that can be achieved under optimal conditions for multimodal analysis as a function of data statistics and parameters that characterize the multimodal scenario to be addressed. Our approach leads to the definition of two indices that can be easily computed before the actual processing takes place. Moreover, we report in this article how they can be used for operational use in terms of image selection in order to maximize the robustness of the multimodal analysis, as well as to properly design data collection campaigns for understanding and quantifying physical phenomena. Experimental results show the consistency of our approach
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