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IEEE Transactions on Signal Processing

Issue 8 • Date Aug 1993

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Displaying Results 1 - 18 of 18
  • Differential delay/Doppler ML estimation with unknown signals

    Publication Year: 1993, Page(s):2717 - 2719
    Cited by:  Papers (69)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (284 KB)

    Previously published analyses on the maximum-likelihood estimation of joint frequency and time offsets between two noisy versions of a common signal have assumed a Gaussian random signal with a known power spectrum. In many applications, the common signal is not Gaussian and there may be no prior knowledge of its detailed structure. Instead, estimation of a hypothesized common signal can be constr... View full abstract»

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  • Oversampling in the Gabor scheme

    Publication Year: 1993, Page(s):2679 - 2687
    Cited by:  Papers (83)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (536 KB)

    A method for calculating the coefficients of the Gabor expansion in the case of oversampling is presented. The method is based on the concept of frames and utilizes the Zak transform. As such, the Zak transform highlights the meaning and importance of frames in the context of oversampling, and other aspects of signal representation by means of nonorthogonal bases View full abstract»

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  • Wavelets and recursive filter banks

    Publication Year: 1993, Page(s):2536 - 2556
    Cited by:  Papers (144)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1480 KB)

    It is shown that infinite impulse response (IIR) filters lead to more general wavelets of infinite support than finite impulse response (FIR) filters. A complete constructive method that yields all orthogonal two channel filter banks, where the filters have rational transfer functions, is given, and it is shown how these can be used to generate orthonormal wavelet bases. A family of orthonormal wa... View full abstract»

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  • Multilayer feedforward neural networks with single powers-of-two weights

    Publication Year: 1993, Page(s):2724 - 2727
    Cited by:  Papers (18)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (312 KB)

    A new algorithm for designing multilayer feedforward neural networks with single powers-of-two weights is presented. By applying this algorithm, the digital hardware implementation of such networks becomes easier as a result of the elimination of multipliers. This proposed algorithm consists of two stages. First, the network is trained by using the standard backpropagation algorithm. Weights are t... View full abstract»

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  • The multigraph and structural adaptivity

    Publication Year: 1993, Page(s):2695 - 2716
    Cited by:  Papers (24)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1736 KB)

    Structurally adaptive and dynamically reconfigurable systems are presented as important ingredients in the design and development of robust large-scale signal processing systems for operation in complex nonstationary environments. The multigraph programming and execution environment (MPEE) simplifies the design and implementation of such systems because of its graph-based computational model, supp... View full abstract»

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  • A unified texture model based on a 2-D Wold-like decomposition

    Publication Year: 1993, Page(s):2665 - 2678
    Cited by:  Papers (99)  |  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1256 KB)

    A unified texture model that is applicable to a wide variety of texture types found in natural images is presented. This model leads to the derivation of texture analysis and synthesis algorithms designed to estimate the texture parameters and to reconstruct the original texture field from these parameters. The texture field is assumed to be a realization of a regular homogeneous random field, whi... View full abstract»

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  • Comparative performance analysis of adaptive multispectral detectors

    Publication Year: 1993, Page(s):2639 - 2656
    Cited by:  Papers (66)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1216 KB)

    The fully adaptive hypothesis testing algorithm developed by I.S. Reed and X. Yu (1990) for detecting low-contrast objects of unknown spectral features in a nonstationary background is extended to the case in which the relative spectral signatures of objects can be specified in advance. The resulting background-adaptive algorithm is analyzed and shown to achieve robust spectral feature discriminat... View full abstract»

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  • Cascaded frequency domain bandpass filters for multivernier spectra

    Publication Year: 1993, Page(s):2618 - 2627
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (880 KB)

    Passive sonar processing generally consists of many concurrent verniers on each beam or channel which are very narrow bands centered at widely separated, independent frequencies sparsely placed across the total search band. Each is analyzed by a fast Fourier transform (FFT) with extremely narrow coefficients. A cascaded frequency domain filter structure that provides such verniers with fewer compu... View full abstract»

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  • Analysis and implementation of variable step size adaptive algorithms

    Publication Year: 1993, Page(s):2517 - 2535
    Cited by:  Papers (45)  |  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1036 KB)

    Stochastic gradient adaptive filtering algorithms using variable step sizes are investigated. The variable-step-size algorithm improves the convergence rate while sacrificing little in steady-state error. Expressions describing the convergence of the mean and mean-squared values of the coefficients are developed and used to calculate the mean-square-error evolution. The initial convergence rate an... View full abstract»

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  • Maximum-likelihood localization of narrow-band autoregressive sources via the EM algorithm

    Publication Year: 1993, Page(s):2719 - 2724
    Cited by:  Papers (11)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (380 KB)

    The authors derive an expectation-maximization algorithm for the maximum-likelihood estimation of the directions of arrival of multiple narrowband autoregressive (AR) signals embedded in noise. The proposed algorithm simultaneously estimates the location parameters, the AR coefficients, and the signals. The additional structural information that the sources are of the AR type enables one to resolv... View full abstract»

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  • A new algorithm for order statistic and sorting

    Publication Year: 1993, Page(s):2688 - 2694
    Cited by:  Papers (36)  |  Patents (14)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (516 KB)

    An algorithm for rank filtering and stack filtering is presented. This algorithm is simple and results in fast and easy implementations. Various implementations of the algorithm are described, and the H-tree design is shown to be most area efficient. Also introduced is a modification of the filtering algorithm that results in better implement sorting View full abstract»

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  • On-line estimation of hidden Markov model parameters based on the Kullback-Leibler information measure

    Publication Year: 1993, Page(s):2557 - 2573
    Cited by:  Papers (163)  |  Patents (23)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1112 KB)

    Sequential or online hidden Markov model (HMM) signal processing schemes are derived, and their performance is illustrated by simulation. The online algorithms are sequential expectation maximization (EM) schemes and are derived by using stochastic approximations to maximize the Kullback-Leibler information measure. The schemes can be implemented either as filters or fixed-lag or sawtooth-lag smoo... View full abstract»

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  • Singular value decomposition-based MA order determination of non-Gaussian ARMA models

    Publication Year: 1993, Page(s):2657 - 2664
    Cited by:  Papers (48)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (652 KB)

    Singular-value-decomposition (SVD)-based moving-average (MA) order determination of non-Gaussian processes using higher-order statistics is addressed. It is shown that the MA order determination of autoregressive moving-average (ARMA) models is equivalent to the rank determination of a certain error matrix, and a SVD approach is proposed. Its simplified form is applied to pure MA models. To improv... View full abstract»

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  • Analysis of a signal estimation algorithm for diversely polarized arrays

    Publication Year: 1993, Page(s):2628 - 2638
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (772 KB)

    The problem of separating and estimating the waveforms of superimposed signals received by a diversely polarized array is considered. Signal estimation is accomplished by a two-step procedure: (1) The directions of arrival and polarization parameters of all the signals are estimated using an eigenstructure-based technique; (2) The estimated signal is obtained as a linear combination of the array o... View full abstract»

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  • Filtering interpolators for frame differencing signal processors

    Publication Year: 1993, Page(s):2574 - 2582
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (684 KB)

    Interpolation error contributes to clutter leakage through a frame differencing signal processor, especially for highly structured scenes. For low sampling rates, interpolation error can be reduced by as much as an order of magnitude by applying a spectral filter to the unshifted frame that matches the filtering effect of applying the interpolator to the frame that is shifted. The signature reduct... View full abstract»

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  • Using an IIR adaptive filter bank to analyze short data segments of noisy sinusoids

    Publication Year: 1993, Page(s):2583 - 2590
    Cited by:  Papers (9)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (684 KB)

    An infinite impulse response (IIR) adaptive resonator-in-a-loop filter bank that can be used for high-resolution spectral analysis of not only long data segments, but short data segments as well, with accuracies approaching the Cramer-Rao lower bounds for SNRs as well as 10 dB is described. The basic approach taken is to reanalyze the data segment many times while running the data forward and back... View full abstract»

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  • A discrete-time multiresolution theory

    Publication Year: 1993, Page(s):2591 - 2606
    Cited by:  Papers (55)  |  Patents (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1268 KB)

    Multiresolution analysis and synthesis for discrete-time signals is described. Concepts of scale and resolution are first reviewed in discrete time. The resulting framework allows one to treat the discrete wavelet transform, octave-band perfect reconstruction filter banks, and pyramid transforms from a unified standpoint. This approach is very close to previous work on multiresolution decompositio... View full abstract»

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  • A generalization of McWhirter's formulas

    Publication Year: 1993, Page(s):2607 - 2617
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (696 KB)

    A spatial QR recursive least squares adaptive filter with fast implicit computation of the residual in the more general case of delayed filtering is presented. The new recursions can be reviewed as a generalization of J.G. McWhirter's (1983) formulas. Experimental results confirm the superior performance of this algorithm. In a systolic realization these generalized McWhirter recursions can be imp... View full abstract»

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Aims & Scope

IEEE Transactions on Signal Processing covers novel theory, algorithms, performance analyses and applications of techniques for the processing, understanding, learning, retrieval, mining, and extraction of information from signals

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Meet Our Editors

Editor-in-Chief
Sergios Theodoridis
University of Athens