IEEE Transactions on Acoustics, Speech, and Signal Processing

Issue 4 • August 1984

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Displaying Results 1 - 25 of 42
  • [Front cover and table of contents]

    Publication Year: 1984, Page(s): 0
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    Freely Available from IEEE
  • Editorial

    Publication Year: 1984, Page(s):681 - 682
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    Freely Available from IEEE
  • Maximum entropy spectral estimation for regular time series of degenerate rank

    Publication Year: 1984, Page(s):733 - 740
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (753 KB)

    This paper deals with multichannel time series of degenerate rank, and extends the maximum entropy method over the degenerate rank case. In order to define the entropy of a multichannel time series of degenerate rank, we must first clarify all the deterministic relationships in the time series. This will be done for any regular time series matching given finite data{R_{0}, R_{1},..., R_{n}} View full abstract»

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  • On the stability of two-dimensional state-space systems: A special case

    Publication Year: 1984, Page(s):921 - 922
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (257 KB)

    The stability of two-dimensional state-space systems can be determined by knowing the zero manifolds of the characteristic equationdet(I- z_{1}A_{1} - z_{2}A_{2}) = 0or, equivalently, the eigenvalues of the matrix(A_{1} + e^{Jomega}A_{2})for all real ω. We propose a new simple test for the special case when the matrices A1and A2are simultaneously re... View full abstract»

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  • On the absence of limit cycles in a class of state-space digital filters which contains minimum noise realizations

    Publication Year: 1984, Page(s):928 - 930
    Cited by:  Papers (26)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (370 KB)

    This paper presents a theorem for the absence of limit cycles in a class of state-space digital filters. Such a class contains minimum noise realizations of any order as a special case, that is, it is proved that the transition matrix A of minimum noise realizations of any order satisfiesI - A^{t}A geq 0, and thus the realizations are free of limit cycles. View full abstract»

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  • A comment on "A memory compression scheme for modular arithmetic"

    Publication Year: 1984, Page(s): 932
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    First Page of the Article
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  • [Back cover]

    Publication Year: 1984, Page(s): c4
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    Freely Available from IEEE
  • On the eigenstructure of Toeplitz matrices

    Publication Year: 1984, Page(s):918 - 921
    Cited by:  Papers (22)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (504 KB)

    In spite of the fact that Toeplitz eigenvalue problems have important applications in signal processing, relatively little is known about the eigenstructure of finite real symmetric Toeplitz matrices. In this paper, we exhibit two facts about the Toeplitz eigenstructure problem. First we show that any reciprocal or anti-reciprocal n vector is an eigenvector for at least an [(n + 1)/2]-dimensional ... View full abstract»

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  • The integrated signal processing system ISP

    Publication Year: 1984, Page(s):842 - 851
    Cited by:  Papers (18)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1280 KB)

    The Integrated Signal Processing System (ISP) is a Lisp machine-based workstation which provides a unified environment for signal data processing and the development of signal processing algorithms. ISP is based on a model of signal processing computation in which the fundamental activities are creating and manipulating abstract signal objects. ISP consists of three main subsystems. The signal rep... View full abstract»

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  • Quantizers for the gamma distribution and other symmetrical distributions

    Publication Year: 1984, Page(s):836 - 841
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (672 KB)

    This paper discusses minimum mean-square error quantization for symmetric distributions. If the distribution satisfies a log-concavity condition, the optimal quantizer is itself symmetric. For the gamma distribution often used to model speech signals, the log-concavity condition is not satisfied. It is shown that for this distribution both the uniformly spaced and the nonuniformly spaced optimal q... View full abstract»

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  • On time delay estimation involving received signals

    Publication Year: 1984, Page(s):828 - 835
    Cited by:  Papers (4)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (904 KB)

    The estimation of time delay between two received signals is reexamined for the three basic approaches to this problem: 1) phase data, 2) generalized cross correlation, and 3) parameter estimation. For a simple delay problem with short data lengths, arguments are presented to refute the claim that the parameter estimation approach is superior to the usual cross-correlation method. Special consider... View full abstract»

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  • The use of linear constraints to reduce the variance of time of arrival difference estimates for source location

    Publication Year: 1984, Page(s):907 - 912
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (672 KB)

    Research on the estimation of time of arrival (TOA) differences has emphasized the reduction of variance for measurements corresponding to individual pairs of signals, each estimate being regarded as an independent variable. In reality, the geometry of a source location system results in linear constraints which must be satisfied by the TOA differences. These constraints, known from a priori infor... View full abstract»

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  • A limitation of the Kumaresan-Prony algorithm in direction-finding applications

    Publication Year: 1984, Page(s):912 - 914
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (408 KB)

    A modification of the forward-backward linear prediction method of spectral analysis due to Tufts and Kumaresan was evaluated for use in direction finding with an array of sensors. A special case of this method, called the Kumaresan-Prony case, is especially attractive due to its ease of computation. This case, however, was found to exhibit blind angles, where performance was severely degraded in ... View full abstract»

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  • Adaptive notch filtering for the retrieval of sinusoids in noise

    Publication Year: 1984, Page(s):791 - 802
    Cited by:  Papers (178)  |  Patents (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1296 KB)

    In this paper, an adaptive notch filter is developed (employing a frequency domain and time domain analysis) for the enhancement and tracking of sinusoids in additive noise, colored or white. The notch filter is implemented as a constrained infinite impulse response filter with the constraint enforced by a single parameter termed the debiasing parameter. The resulting notch filter requires few par... View full abstract»

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  • Fast transforms: Algorithms, analyses, applications

    Publication Year: 1984, Page(s):941 - 942
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    First Page of the Article
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  • An enhanced LPC vocoder with no voiced/Unvoiced switch

    Publication Year: 1984, Page(s):851 - 858
    Cited by:  Papers (12)  |  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (896 KB)

    A modified LPC system (LPC plus) which requires no voiced/unvoiced switch at the synthesizer is presented in this paper. The excitation functions of the synthesizer filter are modeled to be the sum of the conventional pulse and noise sources. The mixture ratio is estimated from the LPC residual error signal, and this parameter controls the amplitudes of the pulse and noise sources. Since the V/UV ... View full abstract»

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  • A general lower bound for parametric spectrum estimation

    Publication Year: 1984, Page(s):728 - 733
    Cited by:  Papers (27)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (504 KB)

    The paper presents a lower bound on the variance of parametric spectral estimators. The bound is potentially useful for evaluating the performance of existing and newly proposed spectrum estimation techniques. Explicit formulas are given for ARMA and AR-plus-noise models. The behavior of the bound is illustrated by several examples. View full abstract»

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  • Spatio-temporal spectral analysis by eigenstructure methods

    Publication Year: 1984, Page(s):817 - 827
    Cited by:  Papers (268)  |  Patents (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1224 KB)

    This paper presents new algorithms for estimating the spatio-temporal spectrum of the signals received by a passive array. The algorithms are based on the eigenstructure of the covariance and spectral density matrices of the received signals. They allow partial correlation between the sources and thus are applicable to certain kinds of multipath problems. Simulation results that illustrate the per... View full abstract»

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  • Power normalization sensitivity of adaptive lattice structures

    Publication Year: 1984, Page(s):925 - 928
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (352 KB)

    The behavior of the gradient lattice (GL) and the least-squares lattice (LSL) when used to track multiple sinusoidal components whose power levels are widely separated is investigated. The sensitivity of the instantaneous frequency estimates to different time constants of the power estimation loops in the gradient method is of particular interest. Simulations are presented for the specific case of... View full abstract»

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  • Information tradeoffs in using the sample autocorrelation function in ARMA parameter estimation

    Publication Year: 1984, Page(s):701 - 715
    Cited by:  Papers (30)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1352 KB)

    This paper considers bounds on the statistical efficiency of estimators of the poles and zeros of an ARMA process based on estimates of the process autocorrelation function (ACF). Special attention is paid to autoregressive (AR) and AR plus white noise processes. It is seen that reducing the ARMA process data to a given set of consecutive lags of the popular lagged-product ACF estimates prior to p... View full abstract»

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  • On the computation of the Cramer-Rao bound for ARMA parameter estimation

    Publication Year: 1984, Page(s):721 - 727
    Cited by:  Papers (60)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (664 KB)

    The Cramer-Rao lower bound (CRLB) provides a useful tool for evaluating the performance of parameter estimation techniques. Several techniques for the computation of the asymptotic form of the CRLB for ARMA models are presented. It is shown that the asymptotic CRLB can be expressed as an explicit function of the model parameters. View full abstract»

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  • A positive-definite matrix which is not extendible

    Publication Year: 1984, Page(s):930 - 932
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (360 KB)

    It has been noted that not all positive-semidefinite matrices are extendible in the multidimensional case. However, no example of such a matrix has been presented for a simple multidimensional analog of the one-dimensional time-series case. It is shown how such a matrix can be derived. View full abstract»

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  • Parametric techniques for adaptive detection of Gaussian signals

    Publication Year: 1984, Page(s):780 - 790
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (904 KB)

    Two parametric techniques are presented for detection of Gaussian signals with unknown statistics in white Gaussian noise. The first method models the signal as an autoregressive process, while the second models the sum of the signal and the noise as an autoregressive moving-average process. For each model a test statistic (likelihood ratio) is proposed, based on the limiting properties of the lik... View full abstract»

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  • A study of rectangular transforms for data compression

    Publication Year: 1984, Page(s):934 - 938
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (688 KB)

    A rectangular transform is defined and an algorithm for the same has been developed and implemented. The results show that a reasonable amount of data compression is possible. An additional amount of data eompression can also be obtained by modifying the kernel. View full abstract»

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  • Sufficient conditions for minimum phase two-dimensional PLSI's

    Publication Year: 1984, Page(s):916 - 918
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (328 KB)

    In this paper we derive a set of sufficient conditions to obtain minimum phase two-dimensional planar least-squares inverses (PLSI's). The result enlarges the class of two-dimensional polynomials for which the Shanks conjecture holds. We give examples to illustrate the application of the sufficient conditions in the stabilization of two-dimensional recursive digital filters. View full abstract»

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Aims & Scope

This Transactions ceased production in 1990. The current retitled publication is IEEE Transactions on Signal Processing.

Full Aims & Scope