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IEE Proceedings - Vision, Image and Signal Processing

Issue 5 • Date Oct 2001

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Displaying Results 1 - 8 of 8
  • Laplace spectrum for exponential decomposition and pole-zero estimation

    Publication Year: 2001, Page(s):305 - 314
    Cited by:  Papers (2)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (658 KB)

    A novel Laplace transform power spectrum is proposed as a basic tool for complex-exponential decomposition of finite-duration continuous functions. The weighted spectrum leads to a direct decomposition in terms of exponential damping function content in addition to the usual decomposition in terms of sinusoidal circular content produced by Fourier and Laplace transforms. The weighting results in a... View full abstract»

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  • Robust least mean square adaptive FIR filter algorithm

    Publication Year: 2001, Page(s):332 - 336
    Cited by:  Papers (2)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (416 KB)

    The authors propose a new robust adaptive FIR filter algorithm for system identification applications based on a statistical approach named the M estimation. The proposed robust least mean square algorithm differs from the conventional one by the insertion of a suitably chosen nonlinear transformation of the prediction residuals. The effect of nonlinearity is to assign less weight to a small porti... View full abstract»

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  • Analytical model for the first and second moments of an adaptive interpolated FIR filter using the constrained filtered-X LMS algorithm

    Publication Year: 2001, Page(s):337 - 347
    Cited by:  Papers (9)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (736 KB)

    The authors present an analytical model for the mean weight behaviour and weight covariance matrix of an adaptive interpolated FIR filter using the LMS algorithm to adapt the filter weights. The particular structure of this adaptive filter determines that special analytical considerations must be used. First, the introduction of an interpolating block cascaded with the adaptive sparse filter requi... View full abstract»

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  • Design of two-dimensional FIR digital filters by McClellan transform and quadratic programming

    Publication Year: 2001, Page(s):325 - 331
    Cited by:  Papers (6)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (529 KB)

    A quadratic programming (QP) approach for determining the coefficients of the McClellan transform is presented for the design of 2-D FIR digital filters. Three features of the proposed method are as follows. First, the transform parameters are determined by minimising the integration of the squared errors along the desired contour. Second, a set of linear constraints are incorporated into the QP f... View full abstract»

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  • New nonparametric dominant point detection algorithm

    Publication Year: 2001, Page(s):363 - 374
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (1058 KB)

    The authors propose a new nonparametric dominant point detection algorithm which is divided into two phases: an initial detection phase that locates possible dominant points and a suppression phase that removes redundant dominant points. In the initial detection phase, not only the points with high local curvatures, but also the end points and interception points are detected. In the suppression p... View full abstract»

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  • Estimation of depth from defocus as polynomial system identification

    Publication Year: 2001, Page(s):356 - 362
    Cited by:  Papers (3)  |  Patents (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (1310 KB)

    The two-image depth from defocus problem is considered as a system identification problem. The underlying phenomenon of defocusing is modelled as a linear system with an appropriate transfer function. Using a general measure for the spread, a relation between the spread and the system transfer function is obtained. A parametric transfer function is utilised in deriving an analytical expression for... View full abstract»

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  • Online unsupervised learning of hidden Markov models for adaptive speech recognition

    Publication Year: 2001, Page(s):315 - 324
    Cited by:  Patents (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (1067 KB)

    A novel framework of an online unsupervised learning algorithm is presented to flexibly adapt the existing speaker-independent hidden Markov models (HMMs) to nonstationary environments induced by varying speakers, transmission channels, ambient noises, etc. The quasi-Bayes (QB) estimate is applied to incrementally obtain word sequence and adaptation parameters for adjusting HMMs when a block of un... View full abstract»

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  • Practical self-calibration of pan-tilt cameras

    Publication Year: 2001, Page(s):349 - 355
    Cited by:  Papers (6)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (1019 KB)

    The authors propose a practical self-calibration method of rotating and zooming cameras. The problem with previous methods occurs when the camera motion is almost fully zoomed with very little rotation, which is called the 'near-degenerate' configuration. In that case, the solutions become unstable and rotation angles cannot be calculated. When a pan-tilt camera (without z-axis rotation) is adopte... View full abstract»

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