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IEEE Signal Processing Letters

Issue 4 • Date April 1997

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Displaying Results 1 - 9 of 9
  • LD-CELP speech coding with nonlinear prediction

    Publication Year: 1997, Page(s):89 - 91
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (58 KB)

    A technique for nonlinear prediction of speech via local linear prediction (LLP) is presented and applied to LD-CELP at 16 kbps. With 18th-order backward adaptive LLP for voiced frames, the hybrid LD-CELP coder gives higher segmental signal-to-noise ratio (SNR) compared to a reference version of the ITU-T G.728 LD-CELP algorithm, which has a 50th-order backward adaptive linear predictor. The compu... View full abstract»

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  • Speech enhancement for crosstalk interference

    Publication Year: 1997, Page(s):92 - 95
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (172 KB)

    Speech signals are often degraded by additive interference over single-channel communication systems. For stationary and well defined noise sources, effective solutions exist. However, it is often difficult to formulate a model for nonstationary and speechlike noise sources such as crosstalk or multispeaker babble, which exist in real scenarios. In this paper, we propose a solution to this problem... View full abstract»

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  • Fast, approximate maximum a posteriori probability parameter estimation

    Publication Year: 1997, Page(s):96 - 99
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (126 KB)

    In many estimation problems, the set of unknown parameters can be divided into a subset of desired parameters and a subset of nuisance parameters. Using a maximum a posteriori (MAP) approach to parameter estimation, these nuisance parameters are integrated out in the estimation process. This can result in an extremely computationally intensive estimator. This letter proposes a method by which comp... View full abstract»

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  • Adaptive VSS blind equalizers

    Publication Year: 1997, Page(s):100 - 102
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (117 KB)

    It is well known that an adaptive filter with a large step size in the transient period and a small one in the convergence period gives small mean squared steady state error while achieving a fast convergence rate. Based upon this idea, we present two variable step size (VSS) blind equalizers. The first one employs an intersymbol interference (ISI) estimator to control the step size, the second al... View full abstract»

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  • Analytical performance evaluation of MMSE-DFE on twisted-pair lines

    Publication Year: 1997, Page(s):103 - 105
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (105 KB)

    A tight lower-bound on the decision-point signal-to-noise ratio (SNR) of the infinite-length minimum mean square error decision feedback equalizer (MMSE-DFE) on additive white Gaussian noise (AWGN) plus near-end crosstalk (NEXT) impaired twisted-pair lines is derived in closed form. For the finite-length MMSE-DFE, the performance is completely determined by the maximum diagonal element in a Choles... View full abstract»

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  • Single-snapshot DOA estimation and source number detection

    Publication Year: 1997, Page(s):109 - 111
    Cited by:  Papers (31)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (96 KB)

    We present a Bayesian solution to the problem of multiple direction of arrival (DOA) detection/estimation from a single temporal observation of array data, where the array can be of general configuration. The proposed method consists of multiple-step likelihood marginalizations using noninformative priors selected specifically to allow valid comparison of alternative model orders. This yields a no... View full abstract»

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  • Infomax and maximum likelihood for blind source separation

    Publication Year: 1997, Page(s):112 - 114
    Cited by:  Papers (304)  |  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (98 KB)

    Algorithms for the blind separation of sources can be derived from several different principles. This article shows that the infomax (information-maximization) principle is equivalent to the maximum likelihood. The application of the infomax principle to source separation consists of maximizing an output entropy. View full abstract»

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  • Comments on "Inversion of the VanderMonde matrix"

    Publication Year: 1997
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (18 KB)

    The authors comment that Neagoe (see ibid., vol.3, no.4, p.119-120, 1996) derives, in a direct manner, an explicit formula for the inverse of the VanderMonde matrix. They point out that an alternative derivation of this formula, based on the Lagrange interpolation formula, is given in Macon and Spitzbart (1958). Their formula appears to be slightly different, primarily because of the manner in whi... View full abstract»

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  • Oversampled Wilson expansions

    Publication Year: 1997, Page(s):106 - 108
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (137 KB)

    Orthonormal Wilson bases with good time-frequency localization have been constructed by Daubechies, Jaffard, and Journe (1991). We extend this construction to Wilson sets and frames with arbitrary oversampling (or redundancy). We state conditions under which dual Weyl-Heisenberg (WH) sets induce dual Wilson sets, and we formulate duality conditions in the time domain and frequency domain. We show ... 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