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Proceedings of the IEEE

Issue 5 • Date May 1995

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Displaying Results 1 - 4 of 4
  • Discrete simulation of colored noise and stochastic processes and 1/fα power law noise generation

    Publication Year: 1995, Page(s):802 - 827
    Cited by:  Papers (154)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2220 KB)

    This paper discusses techniques for generating digital sequences of noise which simulate processes with certain known properties or describing equations. Part I of the paper presents a review of stochastic processes and spectral estimation (with some new results) and a tutorial on simulating continuous noise processes with a known autospectral density or autocorrelation function. In defining these... View full abstract»

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  • Human and machine recognition of faces: a survey

    Publication Year: 1995, Page(s):705 - 741
    Cited by:  Papers (1174)  |  Patents (24)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3964 KB)

    The goal of this paper is to present a critical survey of existing literature on human and machine recognition of faces. Machine recognition of faces has several applications, ranging from static matching of controlled photographs as in mug shots matching and credit card verification to surveillance video images. Such applications have different constraints in terms of complexity of processing req... View full abstract»

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  • Neural networks for statistical recognition of continuous speech

    Publication Year: 1995, Page(s):742 - 772
    Cited by:  Papers (67)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2812 KB)

    In recent years there has been a significant body of work, both theoretical and experimental, that has established the viability of artificial neural networks (ANN's) as a useful technology for speech recognition. It has been shown that neural networks can be used to augment speech recognizers whose underlying structure is essentially that of hidden Markov models (HMM's). In particular, we have de... View full abstract»

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  • Dataflow process networks

    Publication Year: 1995, Page(s):773 - 801
    Cited by:  Papers (326)  |  Patents (59)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2684 KB)

    We review a model of computation used in industrial practice in signal processing software environments and experimentally and other contexts. We give this model the name “dataflow process networks,” and study its formal properties as well as its utility as a basis for programming language design. Variants of this model are used in commercial visual programming systems such as SPW from... View full abstract»

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North Carolina State University