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IEE Proceedings - Vision, Image and Signal Processing

Issue 1 • Feb 1994

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Displaying Results 1 - 12 of 12
  • Algorithmic engineering in adaptive signal processing: worked examples

    Publication Year: 1994, Page(s):19 - 26
    Cited by:  Papers (9)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (560 KB)

    Algorithmic engineering provides a rigorous framework for describing and manipulating the type of building blocks commonly used to define parallel algorithms and architectures for digital signal processing. So far, the concept has only been illustrated by means of relatively simple examples relating to the use of QR decomposition (QRD) by Givens rotations for the purposes of adaptive filtering and... View full abstract»

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  • Fast orthogonal search for array processing and spectrum estimation

    Publication Year: 1994, Page(s):13 - 18
    Cited by:  Papers (7)  |  Patents (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (444 KB)

    An efficient, general purpose modelling algorithm known as fast orthogonal search (FOS) is applied to the problem of estimating the angles of arrival of multiple plane waves incident on an array of sensors and to the related problem of estimating the temporal frequencies of narrowband signals in noise. An iterative version of the algorithm (IFOS), which approaches a minimum in the mean squared err... View full abstract»

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  • Bayesian model selection applied to spatial signal processing

    Publication Year: 1994, Page(s):76 - 80
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (308 KB)

    Inference is applied to the problem of direction of arrival estimation and the determination of the number of sources present in the case of signals impinging on a linear array of sensors. The method is discussed, and the algorithm is found to outperform methods such as AIC and MDL even in the case of very low signal-to-noise ratios and closely spaced sources. The two levels of inference involved ... View full abstract»

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  • Optimum classification of non-Gaussian processes using neural networks

    Publication Year: 1994, Page(s):56 - 66
    Cited by:  Papers (2)  |  Patents (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (1044 KB)

    A prerequisite for target detection in synthetic aperture radar and moving target imaging radars is an ability to classify background clutter in an optimal manner. Such radar clutter can frequently be modelled as a correlated nonGaussian process with, for example, Weibull or K statistics. Maximum likelihood (ML) provides an optimum classification scheme but cannot always be formulated when correla... View full abstract»

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  • Designs of Chebyshev-type complex FIR filters and digital beamformers with linear-phase characteristics

    Publication Year: 1994, Page(s):2 - 8
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (472 KB)

    Based on the theory of optimal polynomial approximation, the authors present a complex alternation theorem which shows the existence of Chebyshev complex FIR filters. According to the theorem, a method for designing Chebyshev-type complex FIR filter and DBFs with linear-phase characteristics is proposed. A zero exchange algorithm and the related procedures are used to iteratively find the best app... View full abstract»

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  • NTSC component separation via Hadamard transform

    Publication Year: 1994, Page(s):27 - 32
    Cited by:  Papers (3)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (420 KB)

    The authors present a technique for separating the NTSC composite signal into its components (Y, I, Q) by applying an N×N Hadamard transform directly to the composite signal sampled at four times the colour subcarrier. They show that the Y, I, Q component signals are mapped into specific areas in the Hadamard domain. Component separation is achieved by assigning particular transform coeffici... View full abstract»

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  • Least-squares spectrum estimation through a neural network-inverse predictor structure

    Publication Year: 1994, Page(s):67 - 70
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (212 KB)

    A method for the spectral estimation of random processes composed of sinusoids in white noise is proposed, based on the least-squares solution of an overdetermined set of linear equations representing the relationship between the power spectrum and the autocorrelation of the process. As operation in real-time is assumed, a problem to be faced is the accurate estimation of the autocorrelation, usin... View full abstract»

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  • Superresolution technique with edge-based ringing reduction for passive millimetre-wave images

    Publication Year: 1994, Page(s):9 - 12
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (224 KB)

    Images obtained by passive millimetre-wave systems are heavily blurred and band-limited owing to diffraction. A superresolution algorithm has been developed to improve their spatial resolution beyond the diffraction limit. Initially the spectrum of an image is restored within the passband but the resulting image then contains strong ringing owing to the lack of higher spatial frequencies. These ri... View full abstract»

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  • Time domain algorithm for the estimation of two sinusoidal frequencies

    Publication Year: 1994, Page(s):33 - 38
    Cited by:  Papers (4)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (340 KB)

    A computationally simple algorithm is presented that measures one or two frequencies using lookup tables and simple adders. The algorithm is based on a real-time processing of instantaneous frequency and envelope. The algorithm provides a maximum likelihood estimate in the single frequency case. Oversampling is required and the algorithm cannot estimate three or more frequencies. A complete error ... View full abstract»

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  • Modelling of medical magnetic-resonance-imaging signals

    Publication Year: 1994, Page(s):71 - 75
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (340 KB)

    Estimation of images of metabolite concentrations in humans from in vivo magnetic-resonance signals is considered. A 3-dimensional model function is set up in which one dimension pertains to the time domain, and the other two to the reciprocal spatial domain. In the various stages of the estimation fast Fourier transforms and a state-space approach are applied. The computation time can be limited ... View full abstract»

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  • Classified vector quantisation with variable block-size DCT models

    Publication Year: 1994, Page(s):39 - 48
    Cited by:  Papers (7)  |  Patents (4)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (760 KB)

    The paper describes the classified vector quantisation (CVQ) of an image, based on quadtrees and a classification technique in the discrete cosine transform (DCT) domain. In this scheme, a quadtree is used to segment low-detail regions into variable sized blocks and high-detail regions into uniform 4×4 blocks of various edge and mixed classes. High-detail blocks are classified by an edge-ori... View full abstract»

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  • Detection of circular arcs for content-based retrieval from an image database

    Publication Year: 1994, Page(s):49 - 55
    Cited by:  Patents (4)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (472 KB)

    Methods are discussed for producing a summary of geometric content for images from a specific geological application, which can be used for content-based retrieval of interesting images from a large database. Using a data set of 100 images, it is shown that a local are detection scheme provides a more concise and hence a better summary of image content than a conventional edge map, while giving a ... View full abstract»

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Aims & Scope

Published from 1994-2006, IEE Proceedings - Vision, Image and Signal Processing contained significant and original contributions on computer vision, image processing and signal processing.

Full Aims & Scope