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IEE Proceedings - Vision, Image and Signal Processing

Issue 2 • Date Apr 1995

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Displaying Results 1 - 7 of 7
  • Pulsed residual excited linear prediction

    Publication Year: 1995, Page(s):105 - 110
    Cited by:  Papers (2)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (460 KB)

    Linear predictive coding of speech has been widely used at 16 kb/s in the form of adaptive predictive coding (APC) down to 4.8 kb/s in the form of code-excited linear prediction (CELP). Since its invention in 1984 there have been many variations of CELP which differ mainly in the way the final excitation signal (codebook) is produced and quantised. These variations either produce better speech qua... View full abstract»

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  • Fourier descriptor based technique for reconstructing 3D contours from stereo images

    Publication Year: 1995, Page(s):95 - 104
    Cited by:  Papers (2)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (548 KB)

    A Fourier descriptor based hierarchy for stereo correspondence has been suggested by Wu and Sheu (see Proceeding of IPPR conference on computer vision, graphics and image processing, p. 263-270, 1993). However, the offset in starting points and the correspondence between the points constrained on the contours associated with the contours in correspondence were unsolved. An iterative algorithm is p... View full abstract»

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  • Mode filtering to reduce ultrasound speckle for feature extraction

    Publication Year: 1995, Page(s):87 - 94
    Cited by:  Papers (8)  |  Patents (4)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (620 KB)

    The authors investigate the use of filtering techniques to reduce speckle in ultrasound images, to improve their suitability for later feature extraction. The maximum likelihood estimator for a speckle corrupted image is shown to correspond to the statistical mode but this is difficult to determine for small populations, such as those contained by a filter mask. The truncated median filter approxi... View full abstract»

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  • Generalised scheme for optimal learning in recurrent neural networks

    Publication Year: 1995, Page(s):71 - 77
    Cited by:  Papers (3)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (388 KB)

    A new learning scheme is proposed for neural network architectures like the Hopfield network and bidirectional associative memory. This scheme, which replaces the commonly used learning rules, follows from the proof of the result that learning in these connectivity architectures is equivalent to learning in the 2-state perceptron. Consequently, optimal learning algorithms for the perceptron can be... View full abstract»

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  • Fixed-point error analysis of radix-4 FHT algorithm with optimised scaling schemes

    Publication Year: 1995, Page(s):65 - 70
    Cited by:  Papers (3)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (280 KB)

    The fixed-point error performance of the various fast Hartley transform (FHT) algorithms have been investigated. Scaling schemes have been proposed for each of the algorithms. However, due to their better error performance, only the decimation-in-time (DIT) FHT algorithms have been examined. The fixed-point error analysis of the radix-4 DIT algorithm is discussed first and is shown to agree closel... View full abstract»

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  • AR modelling of skewed signals using third-order cumulants

    Publication Year: 1995, Page(s):78 - 86
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (520 KB)

    Algorithms for selecting the order and estimating the parameters of an AR process, which is driven by noise having an underlying non-Gaussian distribution, from the observed noisy time series are presented. The order selection algorithm makes use of the growing memory covariance predictive least-squares (GMCPLS) criterion together with diagonal slices of the third-order cumulant plane. A triangula... View full abstract»

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  • Peano scanning based classified vector quantiser

    Publication Year: 1995, Page(s):111 - 119
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (1156 KB)

    The authors present a classified vector quantiser (CVQ) based on Peano scanning. The Peano scanning, which is used to reduce the dimensionality of the data, provides a one-dimensional algorithm to classify an image block. The class of the block is determined based on its Peano scanning value from a look up table (LUT) of representative Peano scanning values and their associated classes. The Peano ... View full abstract»

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