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IEEE Signal Processing Letters

Issue 12 • Date Dec. 1994

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Displaying Results 1 - 8 of 8
  • A new variable frame analysis method for speech recognition

    Publication Year: 1994, Page(s):185 - 187
    Cited by:  Papers (19)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (324 KB)

    Variable frame rate (VFR) analysis is a technique used in speech processing and recognition for discarding frames that are too much alike. The article introduces a new method for VFR. Instead of calculating the distance between frames, the norm of the derivative parameters is used in deciding to retain or to discard a frame, informal inspection of speech spectrograms shows that this new method put... View full abstract»

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  • Isolated word recognition using interframe dependent hidden Markov models

    Publication Year: 1994, Page(s):188 - 190
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (270 KB)

    A new hidden Markov model (HMM) with first-order dependent observation densities is presented to account for the statistical dependence between successive frames. In this model, the dependence relation among the frames is optimized to maximize the likelihood for both the training and testing data. Experimental comparisons with the standard continuous density HMM as well as the conditional-observat... View full abstract»

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  • A stability result for RLS adaptive bilinear filters

    Publication Year: 1994, Page(s):191 - 193
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (221 KB)

    The article considers recursive least squares (RLS) adaptive nonlinear filtering using bilinear system models. It is shown that the extended RLS adaptive bilinear filter, as well as the equation-error RLS adaptive bilinear filter, are guaranteed to be stable in the sense that the time average of the squared estimation error is bounded whenever the underlying process that generates the input signal... View full abstract»

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  • An adaptive calibration algorithm for synchronized chaos

    Publication Year: 1994, Page(s):194 - 195
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (182 KB)

    An approximate gradient descent algorithm is proposed for adaptive calibration of the composite error system associated with the transmitter-receiver of a recently proposed scheme for secure communication based on synchronized chaos.<> View full abstract»

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  • Performance analysis of the dual sign algorithm for additive contaminated-Gaussian noise

    Publication Year: 1994, Page(s):196 - 198
    Cited by:  Papers (8)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (279 KB)

    In the previous analysis of the dual sign algorithm (DSA), Gaussian signals were assumed. When the desired response contains additive impulsive interference, however, the analysis seems to be inadequate. In this article, a performance analysis of the DSA is considered when the signals are zero-mean stationary Gaussian, and the additive noise of the desired response is zero-mean stationary contamin... View full abstract»

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  • Approximating time-frequency density functions via optimal combinations of spectrograms

    Publication Year: 1994, Page(s):199 - 202
    Cited by:  Papers (25)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (345 KB)

    We demonstrate that two previously proposed methods for combining the information content from multiple spectrograms into a single, positive time-frequency function are optimal in a cross-entropy sense. The goal in combining the spectrograms is to obtain an improved approximation of the joint time-frequency signal density by overcoming limitations of any single spectrogram. An example of each meth... View full abstract»

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  • The two source maximum likelihood function

    Publication Year: 1994, Page(s):203 - 204
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (143 KB)

    The maximum likelihood method is designed to yield high resolution estimates in a multiple source environment. The article derive a simplified representation of the maximum likelihood function for the two source case. This case is instructive to understand when and why the full power of the maximum likelihood method should be used. This approach extends the results of a previous paper (see J. Pipe... View full abstract»

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  • A deterministic approach to blind symbol estimation

    Publication Year: 1994, Page(s):205 - 207
    Cited by:  Papers (64)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (243 KB)

    A blind symbol estimation technique for digital communication is developed by exploiting a special data structure of the oversampled channel output. The proposed method achieves direct symbol estimation without determining the channel characteristics. Moreover, if the transmitting symbols belong to a finite set of alphabets, the new approach can be extended to handle multiple sources.<> View full abstract»

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Aims & Scope

The IEEE Signal Processing Letters is a monthly, archival publication designed to provide rapid dissemination of original, cutting-edge ideas and timely, significant contributions in signal, image, speech, language and audio processing.

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Meet Our Editors

Editor-in-Chief
Peter Willett
University of Connecticut
Storrs, CT 06269
peter.willett@uconn.edu