IEEE Transactions on Acoustics, Speech, and Signal Processing

Issue 3 • June 1986

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Displaying Results 1 - 25 of 38
  • [Front cover and table of contents]

    Publication Year: 1986, Page(s): 0
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    Freely Available from IEEE
  • Correction to "Fast Hankel transform algorithm"

    Publication Year: 1986, Page(s):623 - 624
    Cited by:  Papers (9)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (208 KB)

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  • On the evaluation of double square integral in the (s1, s2) complex biplane

    Publication Year: 1986, Page(s):630 - 632
    Cited by:  Papers (15)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (221 KB)

    In this correspondence, a method of evaluating the double square integralintmin{0}max{infin}intmin{0}max{infin} [h(t_{1}, t_{2})]^{2} dt_{1} dt_{2}= frac{1}{(2pij)^{2}} intmin{-jinfin}max{jinfin}intmin{-jinfin}max{jinfin} H(-s_{1}, -s_{2}) ds_{1} ds_{2}whereh(t_{1}, t_{2}) = L^{-1} [H(s_{1}, s_{2})]is discussed. The method of evaluation is based on using the double... View full abstract»

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  • Corrections to "The statistical performance of the MUSIC and the minimum-norm algorithms in resolving plane waves in noise"

    Publication Year: 1986, Page(s): 633
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (141 KB)

    First Page of the Article
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  • [Back cover]

    Publication Year: 1986, Page(s): c4
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    Freely Available from IEEE
  • Information theory measures with application to model identification

    Publication Year: 1986, Page(s):511 - 517
    Cited by:  Papers (17)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (616 KB)

    The identification of the order of a model which is fitted to data is of central importance. We have considered in this paper an information theoretic criterion, the AIC, which has found considerable use in many diverse applications. Our discussion is presented with various points in mind. First of all, since the theory of the AIC appears in the statistical literature in a complex form, we have at... View full abstract»

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  • Adaptive Gaussian filtering in routine ECG/VCG analysis

    Publication Year: 1986, Page(s):527 - 534
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (760 KB)

    Different types of filters are used in systems for the analysis of electrocardiograms and/or vectorcardiograms. These filters are mostly locally used to enhance the relevant signal components in order to improve the performance of one or more subtasks or modules rather than to provide filtered signals to be used in the feature extraction and classification part of the system. Filters are also used... View full abstract»

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  • Multichannel relative-entropy spectrum analysis

    Publication Year: 1986, Page(s):554 - 564
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1232 KB)

    A new relative-entropy method is presented for estimating the power spectral density matrix for multichannel data, given correlation values for linear combinations of the channels, and given an initial estimate of the spectral density matrix. A derivation of the method from the relative-entropy-principle is given. The basic approach is similar in spirit to the multisignal relative-entropy spectrum... View full abstract»

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  • Performance of transform-domain LMS adaptive digital filters

    Publication Year: 1986, Page(s):499 - 510
    Cited by:  Papers (155)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1224 KB)

    In this paper we analyze the performance, particularly the convergence behavior, of the transform-domain least mean-square (LMS) adaptive digital filter (ADF) using the discrete Fourier transform and discrete orthogonal transforms such as discrete cosine and sine transforms. We first obtain the optimum Wiener solution and the minimum mean-squared error (MSE) in the transform domain. It is shown th... View full abstract»

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  • A recursive algorithm for linear system identification

    Publication Year: 1986, Page(s):492 - 498
    Cited by:  Papers (1)  |  Patents (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (512 KB)

    This paper deals with the pole-zero identification of a linear system from a measured input-output record. It is shown that the minimization of a modified version of the squared Kalman equation error can be implemented by an order recursive algorithm in the time domain. The algorithm is based on the Gram-Schmidt orthogonalization of intertwined Krylov sequences involving a skew self-adjoint linear... View full abstract»

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  • Fast algorithms for the DFT and other sinusoidal transforms

    Publication Year: 1986, Page(s):642 - 644
    Cited by:  Papers (47)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (272 KB)

    A new matrix factorization is proposed for DCT-IV, which is the basis of fast algorithms for many sinusoidal transforms. The new fast algorithm for DFT, based on the new factorization, requires the same number of multiplications and far fewer additions than the Preuss algorithm. View full abstract»

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  • Algebraic approach to system identification

    Publication Year: 1986, Page(s):462 - 469
    Cited by:  Papers (40)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (848 KB)

    A variety of identification procedures exists for estimating the parameters of an autoregressive moving-average (ARMA) process from noise-free excitation and noise-contaminated response data. In this paper, an identification procedure is proposed for the more realistic situation in which both the excitation and response are contaminated by white noises. The method is based upon the null space char... View full abstract»

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  • Sinusoidal disturbance rejection with application to helicopter flight data estimation

    Publication Year: 1986, Page(s):479 - 484
    Cited by:  Papers (18)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (704 KB)

    This paper is concerned with the problem of eliminating sinusoidal disturbances from data while producing minimal distortion to the underlying data. A particular example of this problem arises in the filtering of helicopter data which are corrupted by sinusoidal disturbances due to rotor motion. It is shown that an optimal solution to the problem can be found using Kalman filtering theory. The pro... View full abstract»

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  • A new algorithm for speech fundamental frequency estimation

    Publication Year: 1986, Page(s):626 - 630
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (544 KB)

    In this correspondence, we present a method of detecting the fundamental frequency based on the recognition of "fundamental peaks" of a low-pass filtered (fc= 0.7 kHz) speech signal. Average overall recognition accuracy of approximately 99 percent for the training speech sample and 97.5 percent for a test speech sample were achieved. The experimental verification of the developed FPR (f... View full abstract»

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  • A real-time two-dimensional moment generating algorithm and its single chip implementation

    Publication Year: 1986, Page(s):546 - 553
    Cited by:  Papers (83)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (856 KB)

    We present a fast algorithm and its single chip VLSI implementation for generating moments of two-dimensional (2-D) digital images for real-time image processing applications. Using this algorithm, the number of multiplications for computing 16 moments of a 512 × 512 image is reduced by more than 5 orders of magnitude compared to the direct implementation; the number of additions is reduced b... View full abstract»

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  • Detection performance of the circular correlation coefficient receiver

    Publication Year: 1986, Page(s):399 - 404
    Cited by:  Papers (9)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (592 KB)

    The complex circular correlation detector is analyzed for the case of one complex sinusoid in complex white Gaussian noise. The distribution function of the squared modulus of the circular serial correlation coefficient is found when no signal is present, allowing computation of the detection threshold. For small data records, as is typical in radar applications, the performance of the correlation... View full abstract»

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  • A normalized frequency domain LMS adaptive algorithm

    Publication Year: 1986, Page(s):452 - 461
    Cited by:  Papers (31)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (712 KB)

    A scheme is presented for obtaining an input power estimate for setting the algorithm gain parameter μ separately in each frequency bin in the frequency domain LMS adaptive algorithm. This is particularly important if the input has large spectral variations, and a single feedback parameter, set on the broad-band power, could result in instability in the adaptive filters in some frequency bins... View full abstract»

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  • Time-varying filtering and signal estimation using Wigner distribution synthesis techniques

    Publication Year: 1986, Page(s):442 - 451
    Cited by:  Papers (174)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (960 KB)

    The short-time Fourier transform (STFT), the ambiguity function (AF), and the Wigner distribution (WD) are mixed time-frequency signal representations that use Fourier transform techniques to map a one-dimensional function of time into a two-dimensional function of time and frequency. These mixed time-frequency mappings have been used to analyze the local frequency characteristics of a variety of ... View full abstract»

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  • Adaptive identification of a time-varying ARMA speech model

    Publication Year: 1986, Page(s):423 - 433
    Cited by:  Papers (24)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1160 KB)

    We propose an adaptive algorithm to estimate time-varying ARMA parameters for speech signals. It estimates both input excitations and underlying system parameters. The proposed algorithm is an extended form of the Kalman filter algorithm. We assume the input is either a white Gaussian process or a pseudoperiodical pulse-train as commonly adopted in LPC processing. The time variation of parameters ... View full abstract»

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  • A parallel least-squares linear prediction method based on the circular lattice filter

    Publication Year: 1986, Page(s):640 - 642
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (344 KB)

    In this correspondence, we propose a parallel least-squares method for linear prediction and estimation based on the circular lattice filter. Instead of minimizing the total sum of prediction errors, the method proceeds by dividing the sum into several parts and then minimizing each part in parallel, and then averaging the resulting estimates to form a final estimate. It is shown that this estimat... View full abstract»

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  • Digital whitening of band-limited white noise in the presense of colored noise

    Publication Year: 1986, Page(s):621 - 623
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (368 KB)

    Four all zero whitening filters, one-sided and two-sided Wiener and linear prediction filters, are compared on the basis of reduction of input noise power, when the sum of a band-limited white noise and the colored noise is the input to a unity gain whitening filter. The colored noise is assumed to be one of the three types: equally spaced, equal power multiple tones, a periodic pulsetrain of rand... View full abstract»

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  • The discrete Gerchberg algorithm

    Publication Year: 1986, Page(s):624 - 626
    Cited by:  Papers (17)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (240 KB)

    The discrete version of the Gerchberg algorithm for iterative restoration of a time-constrained function from only partial knowledge of its spectrum (or vice versa) is analyzed. Although convergence is guaranteed, eigenvalues close to unity inhibit iteration to the limit. Identification of these large eigenvalues, allowing extrapolation to the limit, is described. View full abstract»

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  • Adaptive nonlinear digital filters using distributed arithmetic

    Publication Year: 1986, Page(s):518 - 526
    Cited by:  Papers (39)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (784 KB)

    A nonlinear adaptive filter structure, based upon the theory of the truncated discrete Volterra series, is presented. A memory-oriented implementation exploiting distributed arithmetic is considered, and the conventional LMS adaptation algorithms are suitably modified. Memory-size reduction methods are developed to obtain simpler actual realizations. Computer simulation results are presented. View full abstract»

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  • An all-digital realization of a baseband DLL implemented as a dynamical state estimator

    Publication Year: 1986, Page(s):535 - 545
    Cited by:  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1112 KB)

    The delay-locked-loop (DLL) is a device that automatically adjusts a local delay estimate to the time delay between two versions of an incoming signal. It has been shown that, in the sense of local variance, this device performs equally as well as the maximum-likelihood estimator, whereas the implementation cost can be reduced considerably. Several publications describe digital or hybrid implement... View full abstract»

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  • General in-place calculation of discrete Fourier transforms of multidimensional sequences

    Publication Year: 1986, Page(s):565 - 572
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (632 KB)

    The computation of the discrete Fourier transform (DFT) of real multidimensional sequences requires an extraordinary amount of computer memory. The in-place calculation of the discrete Fourier transform reduces the required memory and is thus highly desirable. The present paper relies on the conjugate property of the generalized DFT in order to define novel, advantageous algorithms for the in-plac... 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