# conference.bib

@inproceedings{adikari2011new,
title = {A New Algorithm for Double Scalar Multiplication over {K}oblitz Curves},
author = {J. Adikari and V. S. Dimitrov and R. J. Cintra},
booktitle = {Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS)},
year = {2011},
pages = {709--712},
abstract = {Koblitz curves are a special set of elliptic curves and have improved performance in computing scalar multiplication in elliptic curve cryptography due to the Frobenius endomorphism. Double-base number system approach for Frobenius expansion has improved the performance in single scalar multiplication. In this paper, we present a new algorithm to generate a sparse and joint $\tau$-adic representation for a pair of scalars and its application in double scalar multiplication. The new algorithm is inspired from double-base number system. We achieve 12\% improvement in speed against state-of-the-art $\tau$-adic joint sparse form.},
doi = {10.1109/ISCAS.2011.5937664},
owner = {rjdsc},
timestamp = {2011.10.15}
}

@inproceedings{arjunamadanayake2011algebraic,
title = {Algebraic Integer based 8$\times$8 2-{D} {DCT} Architecture for Digital Video Processing},
author = {H. P. L. {Arjuna Madanayake} and R. J. Cintra and D. Onen and V. S. Dimitrov and L. Bruton},
booktitle = {Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS)},
year = {2011},
address = {Rio de Janeiro, RJ},
pages = {1247--1250},
abstract = {A time-multiplexed row-parallel architecture is proposed for the real-time implementation of bivariate algebraic integer (AI) encoded 2-D discrete cosine transform (DCT) of images and video sequences. The architecture is based on the Arai algorithm with AI encoding. This leads to an 8$\times$8 2-D DCT which is entirely free of quantization errors. The error free coefficients may be converted into a regular arithmetic format using a final reconstruction step (FRS) at the output stage. The accuracy of the FRS allows each of the 64 coefficients to have its precision set independent of other coefficients without the leakage of quantization noise between coefficient channels. Our architecture leads to low-noise applications in digital video compression, coding, and other image processing applications that rely on the fast systolic computation of the 2-D DCT. A prototype of the 2-D DCT is physically realized, tested, and verified on chip, using a Xilinx Virtex-4 Sx35-10ff668 device. The maximum clock rate was Fclock = 121 MHz, implying an equivalent frame sample rate of 466 Hz, for an image frame size of 1920$\times$1080, which is a common high definition video format.},
doi = {10.1109/ISCAS.2011.5937796},
owner = {rjdsc},
timestamp = {2011.03.09}
}

@inproceedings{cintra2002howto,
title = {How to interpolate in arithmetic transform algorithms},
author = {R. Cintra and H. de Oliveira},
booktitle = {Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '02)},
year = {2002},
month = aug,
pages = {IV-4169},
volume = {4},
abstract = {Summary form only given, as follows. We propose a unified theory for the arithmetic transform of a variety of discrete trigonometric transforms. The main contribution of this work is the elucidation of the interpolation process required in arithmetic transforms. We show that the interpolation method determines the transform to be computed. Several kernels are examined and asymptotic interpolation formulae are derived. Using the arithmetic transform theory, we also introduce a new algorithm for computing the discrete Hartley transform.},
doi = {10.1109/ICASSP.2002.1004871},
owner = {rjdsc},
timestamp = {2010.08.10}
}

@inproceedings{cintra2004optimal,
title = {Optimal wavelets for electrogastrography},
author = {R. J. Cintra and I. V. Tchervensky and V. S. Dimitrov and M. P. Mintchev},
booktitle = {Proceedings of the 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEMBS '04)},
year = {2004},
month = sep,
pages = {329--332},
volume = {1},
abstract = {Matching a wavelet to class of signals can be of interest in feature detection and classification based on wavelet representation. The aim of this work is to provide a quantitative approach to the problem of matching a wavelet to electrogastrographic (EGG) signals. Visually inspected EGG recordings from sixteen dogs and six volunteers were submitted to wavelet analysis. Approximated wavelet-based versions of EGG signals were calculated using Pollen parameterization of 6-tap wavelet filters and wavelet compression techniques. Wavelet parameterization values that minimize the approximation error of compressed EGG signals were sought and considered optimal. The wavelets generated from the optimal parameterization values were remarkably similar to the standard Daubechies-3 wavelet.},
doi = {10.1109/IEMBS.2004.1403159},
keywords = {Electrogastrography , gastric electrical activity, matching wavelets, optimization techniques},
owner = {rjdsc},
timestamp = {2010.08.10}
}

@inproceedings{edirisuriya2012multiplication,
title = {A Multiplication-free Digital Architecture for 16$\times$16 2-{D} {DCT}/{DST} Transform with Applications in {H}.265 Reconfigurable Video Codecs},
author = {Edirisuriya, A. and Arjuna Madanayake, H. P. L. and Bayer, F. M. and Cintra, R. J.},
booktitle = {Proceedings of the 2012 IEEE 27-th Convention of Electrical and Electronics Engineers in Israel},
year = {2012},
month = nov,
pages = {1-5},
doi = {10.1109/EEEI.2012.6377050},
owner = {rjdsc},
timestamp = {2014.10.08}
}

@inproceedings{frery2010contrast,
title = {Contrast in speckled imagery with stochastic distances},
author = {A. C. Frery and A. D. C. Nascimento and R. J. Cintra},
booktitle = {Proceedings of 2010 IEEE 17th International Conference on Image Processing},
year = {2010},
month = sep,
pages = {69--72},
abstract = {Synthetic aperture radar (SAR), ultrasound-B, laser, and sonar imagery are contaminated with speckle noise. The statistical modelling of such contamination is well described by the multiplicative model, which yields the G0 distribution. In particular, reliable image contrast measures are sought in order to discriminate targets. To that end, we present statistical methods based on stochastic divergences and on the Kolmogorov-Smirnov distance for G0 data. Their performance is quantified according to their test sizes and powers. A robustness analysis is also presented for several degrees of contamination. We show that the proposed tests based on triangular and arithmetic-geometric measures outperform the Kolmogorov-Smirnov distance.},
doi = {10.1109/ICIP.2010.5651315},
owner = {rjdsc},
timestamp = {2011.10.15}
}

@inproceedings{kulasekera2014low,
title = {Low-complexity multiplierless {DCT} approximations for low-power {HEVC} digital {IP} cores},
author = {Sunera Kulasekera and Arjuna Madanayake and Renato J. Cintra and F\'{a}bio M. Bayer and Uma Potluri},
booktitle = {Proceedings of the SPIE Defense + Security},
year = {2014},
editor = {Donnie Self and Matthew F. Pellechia and Kannappan Palaniappan and Shiloh L. Dockstader and Paul B. Deignan and Peter J. Doucette},
month = jun,
volume = {9089},
doi = {10.1117/12.2050715},
owner = {rjdsc},
timestamp = {2014.10.08}
}

@inproceedings{madhishetty2012error,
title = {Error-Free {VLSI} Architecture for the 2-{D} {D}aubechies 4-Tap Filter Using Algebraic Integers},
author = {S. Madhishetty and A. Madanayake and R. J. Cintra and D. Mugler and V. S. Dimitrov},
booktitle = {Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS)},
year = {2012},
month = may,
pages = {1484-1487},
doi = {10.1109/ISCAS.2012.6271528},
owner = {rjdsc},
timestamp = {2012.08.05}
}

@inproceedings{nascimento2009measuring,
title = {Measuring synthetic aperture radar target differences with stochastic distances},
author = {A. D. C. Nascimento and R. J. Cintra and A. C. Frery},
booktitle = {Proceedings of the IEEE Toronto International Science and Technology for Humanity (TIC-STH) Conference},
year = {2009},
month = sep,
pages = {587--592},
abstract = {Synthetic aperture radar (SAR) imagery plays a central role as a source of unique data for Geographic Information Systems. These data sets provide complementary information to that provided by optical and infra-red sensors as, for instance, Landsat TM, CBERS-2, IKONOS and SPOT, to name a few. SAR sensors capture information about the target roughness and its dielectric properties, and their imaging capabilities are able to penetrate clouds, fog, rain and even some types of land cover as, for instance, forest canopies. A major issue related to the use of SAR images is their statistical behavior. It is well known that classical Gaussian and additive models do not hold for such data. The multiplicative model (MM) has been extensively tested with success, and it is able to explain phenomenological aspects of the image formation. One of the most important distributions related to the MM is the G0 law. The G0 distribution, as all other laws related to the MM, greatly departs from the Gaussian model. This paper assesses the SAR image discrimination capabilities of selected parametric methods based on divergences measures, when compared to the nonparametric Kolmogorov-Smirnov testing methodology. The importance of the Triangular and Arithmetic-Geometric distances is quantified with respect to the Kullback-Leibler parametric and Kolmogorov-Smirnov non-parametric classical distances by means of Monte Carlo simulation.},
doi = {10.1109/TIC-STH.2009.5444431},
owner = {rjdsc},
timestamp = {2010.08.10}
}

@inproceedings{nascimento2009stochastic,
title = {Stochastic distances and hypothesis testing in speckled data},
author = {A. D. C. Nascimento and R. J. Cintra and A. C. Frery},
booktitle = {Anais do XIV Simp\'osio Brasileiro de Sensoriamento Remoto (Proceedings of the XIV Brazilian Symposium on Remote Sensing)},
year = {2009},
month = apr,
pages = {7353--7360},
publisher = {INPE},
owner = {rjdsc},
timestamp = {2010.08.10},
url = {http://marte.dpi.inpe.br/col/dpi.inpe.br/sbsr@80/2008/11.17.13.10/doc/7353-7360.pdf}
}

@inproceedings{nascimento2009analysis,
title = {Analysis of Speckled Imagery with Parametric and Nonparametric Tests},
author = {A. D. C. Nascimento and A. C. Frery and R. J. Cintra},
booktitle = {Proceedings of the XXII Brazilian Symposium on Computer Graphics and Image Processing},
year = {2009},
address = {Rio de Janeiro, Brazil},
owner = {rjdsc},
timestamp = {2010.08.10},
url = {http://www.matmidia.mat.puc-rio.br/sibgrapi2009/media/theses_and_dissertations/57758.pdf}
}

@inproceedings{oliveira2013uma,
title = {Uma Representa\c{c}\~ao {K}otel'nikov para Wavelets e Bancos de Filtros sem Superposi\c{c}\~ao Espectral},
author = {H. M. Oliveira and R. J. Cintra and R. C. Oliveira},
booktitle = {Anais do Simp\'osio Brasileiro de Telecomunica\c{c}\~oes},
year = {2013},
month = sep,
doi = {10.14209/sbrt.2013.137},
owner = {rjdsc},
timestamp = {2013.10.11}
}

@inproceedings{oliveira2013umaa,
title = {Uma Aproxima\c{c}\~ao Ortogonal Para a {DCT}},
author = {R. S. Oliveira and R. J. Cintra and F. M. Bayer and C. J. Tablada},
booktitle = {Anais do Simp\'osio Brasileiro de Telecomunica\c{c}\~oes},
year = {2013},
month = sep,
doi = {10.14209/sbrt.2013.69},
owner = {rjdsc},
timestamp = {2013.10.11}
}

@inproceedings{silveira2014algoritmos,
title = {Algoritmos {R}\'apidos para Cifragem de Imagens Utilizando Aproxima\c{c}\~oes da {DCT} de Comprimento 8},
author = {T. L. T. Silveira and F. M. Bayer and R. J. Cintra and A. J. Kozakevicius},
booktitle = {Proceeding Series of the Brazilian Society of Computational and Applied Mathematics},
year = {2014},
number = {1},
volume = {2},
doi = {10.5540/03.2014.002.01.0123},
owner = {rjdsc},
timestamp = {2013.10.11}
}

@inproceedings{soares2006applications,
title = {Applications of Non-Orthogonal Filter Banks to Signal and Image Analysis},
author = {L. R. Soares and H. M. Oliveira and R. J. Cintra},
booktitle = {Proceedings of the IEEE/PES Transmission \& Distribution Conference and Exposition: Latin America TDC '06},
year = {2006},
month = aug,
pages = {1--6},
abstract = {A non-orthogonal wavelet-based multiresolution analysis was already provided by scaling and wavelet filters derived from Gegenbauer polynomials. Allowing for odd n (the polynomial order) and a value (a polynomial parameter) within the orthogonality range of such polynomials, scaling and wavelet functions are generated by frequency selective FIR filters. These filters have compact support and generalized linear phase. Special cases of such filter banks include Haar, Legendre, and Chebyshev wavelets. As an improvement, it has been achieved that for specific a values it is possible to reach a filter with flat magnitude frequency response. We obtain a unique closed expression for a value for every n odd value. The main advantages in favor of Gegenbauer filters are their smaller computational effort and a constant group delay, as they are symmetric filters. Potential applications of such wavelets include fault analysis in transmission lines of power systems and image processing.},
doi = {10.1109/TDCLA.2006.311513},
owner = {rjdsc},
timestamp = {2010.08.10}
}

@inproceedings{soares2006signal,
title = {Signal Analysis Using {F}ourier-like Wavelets},
author = {L. R. Soares and H. M. Oliveira and R. J. Cintra},
booktitle = {Proceedings of the IEEE/PES Transmission \& Distribution Conference and Exposition: Latin America TDC '06},
year = {2006},
month = aug,
pages = {1--6},
abstract = {In continuous-time wavelet analysis, most wavelet presents some kind of symmetry. Based on the Fourier and Hartley transform kernels, a new wavelet multiresolution analysis has been proposed. This approach is based on a pair of orthogonal wavelet functions and can be named as the Fourier-like and Hartley-like wavelet analysis. In this paper we carry a preliminary investigation about potentials applications for the Fourier-like wavelet analysis on signals derived from power systems to illustrate the behavior of such wavelets.},
doi = {10.1109/TDCLA.2006.311514},
owner = {rjdsc},
timestamp = {2010.08.10}
}

@inproceedings{soares2004gegenbauer,
title = {New compactly supported scaling and wavelet functions derived from {G}egenbauer polynomials},
author = {L. R. Soares and H. M. de Oliveira and R. J. Cintra},
booktitle = {Proceedings of the Canadian Conference on Electrical and Computer Engineering},
year = {2004},
month = may,
pages = {2347--2350},
volume = {4},
abstract = {A new family of scaling and wavelet functions is introduced; it is derived from Gegenbauer polynomials. The link of ordinary 2nd order differential equations to multiresolution filters is employed to construct these new functions. These functions, termed as ultraspherical harmonic or Gegenbauer scaling and wavelet functions, possess compact support and generalized linear phase. This is an interesting property since, from the computational point of view, only half the number of filter coefficients is required to be computed. By using an alpha factor that is within the orthogonality range of such polynomials, scaling and wavelet functions are generated by frequency selective FIR filters. Potential applications of such wavelets include fault defection in transmission lines of power systems.},
doi = {10.1109/CCECE.2004.1347717},
owner = {rjdsc},
timestamp = {2010.08.10}
}

@inproceedings{tablada2013duas,
title = {Duas Aproxima\c{c}\~oes Para a {DCT} Baseadas Na Fatora\c{c}\~ao De {C}hen},
author = {C. J. Tablada and F. M. Bayer and R. J. Cintra},
booktitle = {Anais do Simp\'osio Brasileiro de Telecomunica\c{c}\~oes},
year = {2013},