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IEEE Transactions on Signal Processing

Issue 3 • Date March 1994

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Displaying Results 1 - 25 of 29
  • Comments on "A comparison of two quantized state adaptive algorithms"

    Publication Year: 1994, Page(s):672 - 673
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (213 KB)

    The author presents a correction to an error in the paper of W.A. Sethares and C.R. Johnson (see IEEE Trans. Acoust. Speech Signal Processing, vol.37, no.1, p.138, Jan. 1989). A comparison is carried out between the quantized error (QE) and the quantized regressor (QReg) algorithms in the paper by Sethares and Johnson. However, an error in Theorem 1 leads to incorrect conclusions about the perform... View full abstract»

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  • Consistent estimation of the cyclic autocorrelation

    Publication Year: 1994, Page(s):595 - 603
    Cited by:  Papers (23)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (716 KB)

    The cyclic autocorrelation is often used to describe nonstationary random processes. The authors investigate the conditions under which the cyclic autocorrelation can be estimated consistently in mean square for discrete time Gaussian processes. They extend and generalize results of Hurd (1989) and refine results of Boyles and Gardner (1983). They derive necessary and sufficient conditions for con... View full abstract»

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  • Markov-based eigenanalysis method for frequency estimation

    Publication Year: 1994, Page(s):586 - 594
    Cited by:  Papers (29)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (636 KB)

    This paper proposes an eigenanalysis-based method for estimating the frequencies of complex-valued sine waves. The basic idea behind this method consists of using a set of linearly independent vectors that are orthogonal to the signal subspace spanned by the principal eigenvectors of the data covariance matrix. Exploiting that orthogonality condition gives an overdetermined system of linear equati... View full abstract»

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  • Computation of the Fisher information matrix for SISO models

    Publication Year: 1994, Page(s):684 - 688
    Cited by:  Papers (12)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (412 KB)

    Closed form expressions and an algorithm for obtaining the Fisher information matrix of Gaussian single input single output (SISO) time series models are presented. It enables the computation of the asymptotic covariance matrix of maximum likelihood estimators of the parameters. The procedure makes use of the autocovariance function of one or more autoregressive processes. Under certain conditions... View full abstract»

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  • Development and analysis of a neural network approach to Pisarenko's harmonic retrieval method

    Publication Year: 1994, Page(s):663 - 667
    Cited by:  Papers (40)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (436 KB)

    Pisarenko's harmonic retrieval (PHR) method is perhaps the first eigenstructure based spectral estimation technique. The basic step in this method is the computation of eigenvector corresponding to the minimum eigenvalue of the autocorrelation matrix of the underlying data. The authors recast a known constrained minimization formulation for obtaining this eigenvector into the neural network (NN) f... View full abstract»

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  • Fast positive definite linear system solvers

    Publication Year: 1994, Page(s):572 - 585
    Cited by:  Papers (20)  |  Patents (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1008 KB)

    The authors show that the M-band wavelet transforms of a wide class of covariance matrices consist of subblocks that are essentially banded. Furthermore, they prove that the Cholesky factors of the transformed covariance matrices also consist of subblocks that are essentially banded. They combine these two observations to construct a fast O(N2) algorithm for solving the N×N linear... View full abstract»

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  • Improving resolution for array processing by new array geometry and spatial filter

    Publication Year: 1994, Page(s):680 - 683
    Cited by:  Papers (6)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (272 KB)

    A new array processing method based on a new array geometry and a spatial filter to improve the resolution is presented. The array aperture can be increased by the new array geometry. The spatial frequency aliasing can be removed and the effective signal-to-noise (SNR) can be raised by the spatial filter. Simulation results are presented to illustrate that the performance obtained by the new metho... View full abstract»

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  • Optimal biorthogonal analysis window function for discrete Gabor transform

    Publication Year: 1994, Page(s):694 - 697
    Cited by:  Papers (26)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (268 KB)

    Like the DFT-a discrete version of the Fourier transform-the recently developed discrete Gabor transform (DGT) provides a feasible vehicle to implement the very useful Gabor expansion. In general, the choice of the biorthogonal window function γ(i) is not unique. The authors discuss the solution of γ(i) that is optimally close to an arbitrary desired function d(i) when the synthesis wi... View full abstract»

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  • High sample rate array architectures for median filters

    Publication Year: 1994, Page(s):707 - 712
    Cited by:  Papers (14)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (520 KB)

    Presents high sample rate semi-systolic array architectures for computing 1D and 2D nonrecursive and recursive median filters. A high sample rate is obtained by pipelining the computations in each processor. Although the nonrecursive filters are pipelined by placing latches in the feedforward paths, the recursive filters are restructured to create additional delays in the feedback paths, and then ... View full abstract»

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  • Rapid prototyping on the Georgia Tech digital signal multiprocessor

    Publication Year: 1994, Page(s):649 - 662
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1276 KB)

    Signal processing supercomputers consisting of multiple programmable digital signal processors offer impressive computational performance while retaining flexibility of programming. The single most important factor limiting their performance has been the lack of a sophisticated software compiling and scheduling environment. Three generations of digital signal multiprocessors (DSMPs) have been desi... View full abstract»

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  • Adaptive high-resolution algorithms for tracking nonstationary sources without the estimation of source number

    Publication Year: 1994, Page(s):563 - 571
    Cited by:  Papers (3)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (792 KB)

    In this paper, a generalized inflation method which can adaptively and robustly converge to the noise-subspace is proposed to improve the performances of subspace algorithms used for tracking nonstationary sources. This generalized inflation method, which includes an inflation factor developed in the view point of orthogonal projection, preserves the parallel structure for realizations and achieve... View full abstract»

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  • Passive localization of near-field sources by path following

    Publication Year: 1994, Page(s):677 - 680
    Cited by:  Papers (54)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (364 KB)

    A new algorithm for passively estimating the ranges and bearings of multiple narrow-band sources using a uniform linear sensor array is presented. The algorithm is computationally efficient and converges globally. It minimizes the MUSIC cost function subject to geometrical constraints imposed by the curvature of the received wavefronts. The estimation problem is reduced to one of solving a set of ... View full abstract»

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  • On Di's and subspace fitting approaches to direction estimation

    Publication Year: 1994, Page(s):691 - 693
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (204 KB)

    The article relates the method for direction estimation in possibly coherent scenarios, which was proposed by Di (1985), to the class of subspace fitting (SSF) methods recently introduced in the literature. It also makes some general comments on the SSF class View full abstract»

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  • Efficient 2-D and multi-D symmetric FIR filter structures

    Publication Year: 1994, Page(s):702 - 707
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (424 KB)

    In literature, the symmetries are usually used to reduce the number of multiplications without affecting the number of additions. The author shows that the symmetries can be exploited not only to reduce the number of multiplications as much as usual but also to reduce significantly the number of additions. Moreover, the required number of delay units remains minimum. A number of 2-D FIR filter str... View full abstract»

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  • Adaptive McClellan transformations for quincunx filter banks

    Publication Year: 1994, Page(s):642 - 648
    Cited by:  Papers (11)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (620 KB)

    A technique is developed for the design of 2-D nonseparable two-channel filter banks for a quincunx sampling lattice, where the isopotentials of the frequency response can be optimized and adapted to the input signal's statistics. By employing known odd-length symmetric linear phase filter banks as the l-D prototype filters for 2-D filters parameterized by the McClellan transformation, conditions ... View full abstract»

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  • Estimation of quasiperiodic signal parameters by means of dynamic signal models

    Publication Year: 1994, Page(s):552 - 562
    Cited by:  Papers (13)  |  Patents (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (784 KB)

    The problem of estimating the parameters of a quasiperiodic signal consisting of a sum of a given number of sinusoidal signals with known frequencies but unknown time-varying amplitudes and phases superimposed by some additive noise sources is treated in this paper. Different estimation techniques that solve the problem are presented in this paper. The reason to do that is twofold: (1) to present ... View full abstract»

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  • An algorithm for the minimization of mixed l1 and l2 norms with application to Bayesian estimation

    Publication Year: 1994, Page(s):618 - 627
    Cited by:  Papers (102)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (892 KB)

    The regularizing functional approach is widely used in many estimation problems. In practice, the solution is defined as one minimum point of a suitable functional, the main part of which accounts for the underlying physical model, whereas the regularizing part represents some prior information about the unknowns. In the Bayesian interpretation, one has a maximum a posteriori (MAP) estimator in wh... View full abstract»

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  • The recursive pyramid algorithm for the discrete wavelet transform

    Publication Year: 1994, Page(s):673 - 676
    Cited by:  Papers (125)  |  Patents (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (324 KB)

    The recursive pyramid algorithm (RPA) is a reformulation of the classical pyramid algorithm (PA) for computing the discrete wavelet transform (DWT). The RPA computes the N-point DWT in real time (running DWT) using just L(log N-1) words of storage, as compared with O(N) words required by the PA. L is the length of the wavelet filter. The RPA is combined with the short-length FIR filter algorithms ... View full abstract»

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  • Generalized sliding FFT and its application to implementation of block LMS adaptive filters

    Publication Year: 1994, Page(s):532 - 538
    Cited by:  Papers (39)  |  Patents (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (568 KB)

    This paper has two contributions. First, the concept of the generalized sliding fast Fourier transform (GSFFT) as an efficient implementation of the hopping FFT is introduced. Application of the GSFFT is broad and not limited to what has been considered in this paper. The frequency domain block LMS (FBLMS) adaptive filters are then revised, and their implementations for block lengths less than the... View full abstract»

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  • Statistical analysis of beam-space estimation for direction-of-arrivals

    Publication Year: 1994, Page(s):604 - 610
    Cited by:  Papers (15)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (556 KB)

    The authors analyze the beam-space performance of the DOA estimation for several subspace processing algorithms in a unified fashion based on a finite amount of measurements. The mean-squared errors (MSE) of the beam-space DOA estimation for these algorithms are expressed; in a single formula using physical parameters like array manifold, beamformer matrix. The important properties of beam-space p... View full abstract»

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  • Resolution enhanced ESPRIT

    Publication Year: 1994, Page(s):688 - 691
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (324 KB)

    The authors present a variant of ESPRIT, known as the resolution enhanced (RE)-ESPRIT, that lowers resolution thresholds by incorporating left weighting of the signal eigenvectors to provide sector focusing. They discuss the advantages of this new left weighted ESPRIT. A compact expression for the asymptotic covariance matrix of the estimates is presented. Analytical and simulation results are inc... View full abstract»

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  • Analysis of LMS and NLMS algorithms with delayed coefficient update under the presence of spherically invariant processes

    Publication Year: 1994, Page(s):668 - 672
    Cited by:  Papers (38)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (412 KB)

    Certain conditions require a delay in the coefficient update of the least mean square (LMS) and normalized least mean square (NLMS) algorithms. This paper presents an in-depth analysis of these modificated versions for the important case of spherically invariant random processes (SIRPs), which are known as an excellent model for speech signals. Some derived bounds and the predicted dynamic behavio... View full abstract»

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  • A minimum free-energy hybrid algorithm for 2-D spectral estimation

    Publication Year: 1994, Page(s):698 - 702
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (484 KB)

    A separable quasi 2-D spectral estimation algorithm is presented. This hybrid algorithm combines the 1-D minimum free-energy method with the 1-D periodogram. The algorithm reduces to the corresponding maximum entropy hybrid spectral estimator in some cases. The minimum free-energy hybrid algorithm is preferable to the maximum entropy version when the estimated autocorrelation sequence is not exten... View full abstract»

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  • Two-dimensional linear prediction and spectral estimation on a polar raster

    Publication Year: 1994, Page(s):628 - 641
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1292 KB)

    A zero-mean homogeneous random field is defined on a discrete polar raster. Given sample values inside a disk of finite radius, the authors wish to estimate the field's power spectral density using linear prediction. Issues arising include estimation of covariance lags and extendibility of a finite set of lag estimates into a positive semidefinite covariance extension (required for a meaningful sp... View full abstract»

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  • Fast subspace decomposition

    Publication Year: 1994, Page(s):539 - 551
    Cited by:  Papers (49)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1008 KB)

    Many recent signal processing techniques in various areas, e.g., array signal processing, system identification, and spectrum estimation, require a step of extracting the low-dimensional subspace from a large space. This step is usually called subspace decomposition, which is conventionally accomplished by an eigendecomposition (ED). Since an ED requires O(M3) flops for an M×M mat... 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

Full Aims & Scope

Meet Our Editors

Editor-in-Chief
Sergios Theodoridis
University of Athens