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IEEE/SP 13th Workshop on Statistical Signal Processing, 2005

Date 17-20 July 2005

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Displaying Results 1 - 25 of 274
  • 2005 IEEE/SP 13th Workshop on Statistical Signal Processing - Book of Abstracts

    Publication Year: 2005, Page(s):0_1 - 0_2
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  • [Title page]

    Publication Year: 2005, Page(s):i - ii
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  • Copyright

    Publication Year: 2005, Page(s):iii - iv
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  • Table of contents

    Publication Year: 2005, Page(s):v - x
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  • Sessions

    Publication Year: 2005, Page(s):11 - 12
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  • Opportunities for statistical signal processing in high energy physics

    Publication Year: 2005, Page(s):13 - 18
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (120 KB)

    Data processing in high energy physics experiments is a multi-tiered process in which raw detector signals are first processed locally into physics objects, and then collated into event records which can be scrutinized by a fast online trigger system. The resulting selection of events are reconstructed and pass through a number of software filters before arriving at a final offline analysis where ... View full abstract»

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  • Filtering, robust and adaptive methods for track reconstruction

    Publication Year: 2005, Page(s):19 - 24
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (280 KB)

    The task of processing and analyzing data from experiments at the future large Hadron collider accelerator at CERN will be huge. Track reconstruction is one of the crucial parts of the data analysis chain in such experiments. After a brief introduction into the problem of track reconstruction, various methods for solving this task are presented. Emphasis is on state-of-the-art robust and adaptive ... View full abstract»

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  • Signal reconstruction in a high rate environment for scintillator calorimeters

    Publication Year: 2005, Page(s):25 - 28
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (169 KB)

    We present an algorithm to reconstruct online the energy in the TiCal detector of ATLAS. The algorithm consists in weighted sums of the digital samples of the photomultiplier signal. The weights are calculated to reconstruct the desired parameters of the signal while minimizing the noise impact on the resolution. The algorithm has been satisfactorily tested in two types of data, data obtained with... View full abstract»

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  • Track identification in high energy physics

    Publication Year: 2005, Page(s):29 - 34
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (152 KB)

    The new particle accelerators and detectors create a challenging processing environment, characterized by huge mass of recorded data of which only small part is of scientific interest. This paper addresses the problem of muon track identification in a cathode strip chamber (CSC), which is a part of the ATLAS detector. We suggest a new "detect-before-estimate" approach, which first detect the parti... View full abstract»

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  • 2 - Special Session: Student Paper Contest 1

    Publication Year: 2005, Page(s):35 - 36
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  • Simulation of postive normal variables using several proposal distributions

    Publication Year: 2005, Page(s):37 - 42
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (292 KB)

    In this paper, we propose a new methodology to generate random variables distributed according to a Gaussian with positive support. We narrow the study to the univariate case. The method consists in an accept-reject algorithm in which a previous step is added consisting in choosing among several proposal distributions the one which gives the highest average probability of acceptance for given para... View full abstract»

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  • PHD filtering for tracking an unknown number of sources using an array of sensors

    Publication Year: 2005, Page(s):43 - 48
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (260 KB)

    In this paper, direction of arrival (DOA) tracking of an unknown number of sources in a highly non-stationary environment is considered. Conventional DOA estimation techniques, such as MUSIC, fail when the stationary assumption is violated. Furthermore, the time-varying number of sources makes the problem even more challenging. Recently, a particle filtering approach, which propagates the approxim... View full abstract»

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  • Composite likelihood estimation for multivariate mixed poisson distributions

    Publication Year: 2005, Page(s):49 - 54
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (540 KB)

    This paper addresses the problem of estimating the parameters of multivariate mixed Poisson distributions. The classical maximum likelihood approach cannot be used for such distributions since they cannot be expressed in simple closed-form. This paper studies an estimation strategy based on the maximization of a so-called composite likelihood criterion. This strategy is compared to a more classica... View full abstract»

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  • Parametric estimation of multi-dimensional affine transformations in the presence of noise: a linear solution

    Publication Year: 2005, Page(s):55 - 58
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (177 KB)

    We consider the general framework of planar object registration and recognition based on a set of known templates. While the set of templates is known, the tremendous set of possible affine transformations that may relate the template and the observed signature, makes any detection and recognition problem ill-defined unless this variability is taken into account. Given a noisy observation on one o... View full abstract»

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  • 3 - Special Session: Student Paper Contest 2

    Publication Year: 2005, Page(s):59 - 60
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  • Robust independent component analysis

    Publication Year: 2005, Page(s):61 - 64
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (287 KB)

    Independent component analysis (ICA) attempts to separate independent components present in the mixture signals. Several criteria have been suggested for ICA in the past, including kurtosis and negentropy. Kurtosis suffers from a drawback of being outlier sensitive. As a remedy, we propose robust ICA (RICA), which employs appropriate robust estimators. In this paper, we compare the robustness prop... View full abstract»

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  • Robust linear receiver design for multi-access space-time block coded MIMO systems using stochastic optimization

    Publication Year: 2005, Page(s):65 - 70
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (202 KB)

    Traditional receiver algorithms developed for multiple-input multiple-output (MIMO) wireless systems are based on the assumption that the channel state information (CSI) is precisely known at the receiver. However, in real environments the exact CSI may be unavailable. In this paper, we address the problem of robustness of multi-access space-time block coded (STBC) MIMO systems against imperfect C... View full abstract»

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  • A new family of approximate QR-LS algorithms for adaptive filtering

    Publication Year: 2005, Page(s):71 - 76
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (166 KB)

    This paper proposes a new family of approximate QR-based least squares (LS) adaptive filtering algorithms called p-TA-QR-LS algorithms. It extends the TA-QR-LS algorithm by retaining different number of diagonal plus off-diagonals (denoted by an integer p) of the triangular factor of the augmented data matrix. For p=1 and N it reduces respectively to the TA-QR-LS and the QR-RLS algorithms. It not ... View full abstract»

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  • Multi-channel mono-path periodic signal extraction with global amplitude and phase modulation for music and speech signal analysis

    Publication Year: 2005, Page(s):77 - 82
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (588 KB)

    A key building block in music transcription and indexing operations is the decomposition of the music signal into notes. We model a note signal as a periodic signal with (slow) global variation of amplitude (reflecting attack, sustain, decay) and frequency (limited time warping). Also voiced speech admits such a representation. The bandlimited variation of global amplitude and frequency gets expre... View full abstract»

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  • Alamouti space-time coded relay strategy for wireless networks

    Publication Year: 2005, Page(s):83 - 88
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (172 KB)

    A relay strategy for Alamouti space-time coded transmissions is proposed. The relay structure is optimized to maximize the received SNR and the receiver is able to exploit the orthogonal structure of the code to ensure temporal and spatial diversity View full abstract»

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  • Particle filtering under communications constraints

    Publication Year: 2005, Page(s):89 - 94
    Cited by:  Papers (14)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (315 KB)

    Particle filtering is often applied to the problem of object tracking under non-Gaussian uncertainty: however, sensor networks frequently require that the implementation be local to the region of interest, eventually forcing the large, sample-based representation to be moved among power-constrained sensors. We consider the problem of successive approximation (i.e., lossy compression) of each sampl... View full abstract»

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  • 4 - Adaptive Filters

    Publication Year: 2005, Page(s):95 - 96
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  • An efficient model for the convergence behavior of the FXLMS algorithm with gaussian inputs

    Publication Year: 2005, Page(s):97 - 102
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (187 KB)

    This paper presents a simple and efficient analytical model for the convergence behavior of the filtered-x LMS (FXLMS) algorithm with Gaussian input data. Deterministic recursions are obtained for the mean weight vector and the mean square error. The new model predicts the algorithm behavior for a wide range of practical applications. This model can be employed either when the adaptive filter lies... View full abstract»

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  • Robustness analysis of a gradient indentification method for a nonlinear wiener system

    Publication Year: 2005, Page(s):103 - 108
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (239 KB)

    The gradient identification of the linear filter part of a nonlinear Wiener system with unknown output non-linearity is investigated with respect to robustness in a deterministic sense. In order to estimate accurately the linear filter coefficients, an adaptive nonlinear filter is placed at the output of the Wiener system which compensates the output non-linearity. Therefore, two adaptive algorith... View full abstract»

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  • Tracking properties of a convex combination of two adaptive filters

    Publication Year: 2005, Page(s):109 - 114
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (228 KB)

    Combination approaches provide a useful way to improve adaptive filter performance. In this paper, we study the tracking performance of an adaptive convex combination of two transversal filters. The individual filters are independently adapted using their own error signals, while the combination is adapted to minimize the error of the overall structure. We show the universality of the approach wit... View full abstract»

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