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IEEE Transactions on Signal Processing

Issue 3 • Date Mar 1996

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Displaying Results 1 - 25 of 39
  • A direct solution for blind separation of sources

    Publication Year: 1996, Page(s):746 - 748
    Cited by:  Papers (18)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (300 KB)

    Proposes a direct estimation of the mixing matrix in the source separation problem. As a new result, we prove that for non-Gaussian sources, the mixing matrix can be obtained by solving a fourth-degree polynomial equation that derives from nonlinear equations only involving fourth-order cumulants View full abstract»

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  • Analysis and optimization of subset averaged median filters

    Publication Year: 1996, Page(s):742 - 746
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (484 KB)

    By analyzing the subset averaged median (SAM) filter based on threshold decomposition, we show that the class of SAM filters is identical to the class of extended threshold Boolean filters (ETBFs) with the extended self-dual property. This result indicates that the class of SAM filters encompasses a variety of digital filters such as linear finite impulse response (FIR), weighted median, symmetric... View full abstract»

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  • Design of an extended Kalman filter frequency tracker

    Publication Year: 1996, Page(s):739 - 742
    Cited by:  Papers (62)  |  Patents (71)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (432 KB)

    The design of an extended Kalman filter for tracking a time-varying frequency is discussed. Its principal modes of failure are explained. The design tradeoff between balancing noise rejection and tracking at a maximal slew rate is discussed. The performance penalties for overdesign and underdesign of noise covariances are examined, and theoretically supported design guidelines are suggested View full abstract»

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  • Using the residual area criterion for signal reconstruction from noiseless and noisy samples

    Publication Year: 1996, Page(s):732 - 738
    Cited by:  Papers (1)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (500 KB)

    We consider reconstruction of a signal from a univariate data set. A problem that is often observed using existing techniques is overshoots between data samples. We propose a criterion, called the residual area criterion, which addresses this problem. The curve of minimum arc length that interpolates the data is the piecewise linear curve connecting the data points. Our criterion is to minimize th... View full abstract»

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  • Model order selection of damped sinusoids in noise by predictive densities

    Publication Year: 1996, Page(s):611 - 619
    Cited by:  Papers (12)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (884 KB)

    We develop a procedure for the order selection of damped sinusoidal models based on the maximum a posteriori (MAP) criterion. The proposed method merges the concept of predictive densities with Bayesian inference to arrive at a complex multidimensional integral whose solution is achieved by way of the efficient Monte Carlo importance sampling technique. The importance function, a multivariate Cauc... View full abstract»

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  • Identification of 2-D noncausal Gauss-Markov random fields

    Publication Year: 1996, Page(s):759 - 764
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2384 KB)

    Parameter identification of multidimensional noncausal Markov random fields is an important paradigm in multidimensional signal processing and modeling, and the solutions to this problem are employed in many areas of image processing. An original procedure for estimating the model parameters of discrete-index 2-D noncausal Gauss-Markov random fields (GMRFs) from noisy observations is proposed, val... View full abstract»

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  • Wavelet synthesis by alternating projections

    Publication Year: 1996, Page(s):728 - 732
    Cited by:  Papers (12)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (496 KB)

    The coefficients of the quadrature mirror filters involved in orthonormal wavelet or wavelet packets signal decompositions are often chosen in an ad hoc manner. In order to adapt such a decomposition to the signal being analyzed, it may be pertinent to maximize an energy concentration criterion, which leads to a constrained optimization problem. A simple geometric interpretation of this problem is... View full abstract»

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  • Surface characterization using frequency diverse scattering measurements and regularity models

    Publication Year: 1996, Page(s):599 - 610
    Cited by:  Papers (8)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1240 KB)

    Accurate classification and characterization of image regions is often an important goal for the users of coherent imaging systems such as synthetic aperture radar (SAR). Many surfaces measured by remote sensing systems can be stochastically described by a regularity model. This parametric point-process model describes a 1-D surface in terms of the mean and variance of the interscatterer distances... View full abstract»

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  • Strict identifiability of multiple FIR channels driven by an unknown arbitrary sequence

    Publication Year: 1996, Page(s):756 - 759
    Cited by:  Papers (34)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (424 KB)

    The problem of blind identification of multiple finite impulse response (FIR) channels driven by a common input arises in a wide range of applications. It has received increasing attention in the signal processing community. A system of multiple FIR channels driven by an unknown input is said to be strictly identifiable if, in the absence of noise, the given channel outputs can only be realized by... View full abstract»

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  • Estimation of frequency in the presence of nonrandom interference

    Publication Year: 1996, Page(s):640 - 651
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (996 KB)

    This paper develops a method of error analysis for Fourier transform-based sinusoidal frequency estimation in the presence of nonrandom interferences. A general error formula is derived and then specialized to the cases of additive and multiplicative interferences. Approximate error formulas are derived for the case of additive polynomial-phase interference. Finally, an application to error analys... View full abstract»

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  • Approximation power of biorthogonal wavelet expansions

    Publication Year: 1996, Page(s):519 - 527
    Cited by:  Papers (62)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (808 KB)

    This paper looks at the effect of the number of vanishing moments on the approximation power of wavelet expansions. The Strang-Fix conditions imply that the error for an orthogonal wavelet approximation at scale a=2-i globally decays as aN, where N is the order of the transform. This is why, for a given number of scales, higher order wavelet transforms usually result in bette... View full abstract»

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  • Malvar wavelets with asymmetrically overlapped windows

    Publication Year: 1996, Page(s):723 - 728
    Cited by:  Papers (3)  |  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (464 KB)

    Malvar (see ibid., vol.38, p.969-78, June 1990) wavelets (or tapped orthogonal transforms) with symmetric overlaps have been studied extensively. We consider Malvar wavelets with asymmetric overlaps in both continuous-time and discrete-time cases. We present conditions on window functions in continuous-time case so that Malvar wavelets can be constructed from different local bases. However, in dis... View full abstract»

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  • The Viterbi optimal runlength-constrained approximation nonlinear filter

    Publication Year: 1996, Page(s):586 - 598
    Cited by:  Papers (8)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1336 KB)

    Simple nonlinear filters are often used to enforce “hard” syntactic constraints while remaining close to the observation data, e.g., in the binary case, it is common practice to employ iterations of a suitable median, or a one-pass recursive median, openclose, or closeopen filter to impose a minimum symbol runlength constraint while remaining “faithful” to the observation. ... View full abstract»

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  • Parallel singular value decomposition of complex matrices using multidimensional CORDIC algorithms

    Publication Year: 1996, Page(s):685 - 697
    Cited by:  Papers (22)  |  Patents (14)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1264 KB)

    The singular value decomposition (SVD) of complex matrices is computed in a highly parallel fashion on a square array of processors using Kogbetliantz's analog of Jacobi's eigenvalue decomposition method. To gain further speed, new algorithms for the basic SVD operations are proposed and their implementation as specialized processors is presented. The algorithms are 3-D and 4-D extensions of the C... View full abstract»

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  • The optimal focusing subspace for coherent signal subspace processing

    Publication Year: 1996, Page(s):752 - 756
    Cited by:  Papers (14)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (448 KB)

    We introduce a technique to determine an optimal focusing frequency for the direction-of-arrival estimation of wideband signals using the coherent signal-subspace processing method. We minimize the subspace fitting error to select an optimal focusing frequency. Direct optimization of this criterion can be computationally complex-the complexity increases with the number of frequency samples. An alt... View full abstract»

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  • Iterative and recursive estimators for hidden Markov errors-in-variables models

    Publication Year: 1996, Page(s):629 - 639
    Cited by:  Papers (13)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (860 KB)

    In this paper we propose maximum-likelihood (ML) estimation of errors in variables models with finite-state Markovian disturbances. Such models have applications in econometrics, speech processing, communication systems, and neurobiological signal processing. We derive the maximum likelihood (ML) model estimates using the expectation maximization (EM) algorithm. Then two recursive or “on-lin... View full abstract»

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  • Extended-window interpolation applied to digital filter design

    Publication Year: 1996, Page(s):457 - 472
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1524 KB)

    This paper develops a procedure for the design of frequency-selective interpolation operators that can be computed and saved once and for all. These operators are used to design real-time digital operators: interpolators, FIR differentiators, IIR filters, and composed interpolation and filtering operators. Each real-time operator is a matrix relating sets of data points to sets of interpolated val... View full abstract»

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  • Multirate filter banks with block sampling

    Publication Year: 1996, Page(s):484 - 496
    Cited by:  Papers (25)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1236 KB)

    Multirate filter banks with block sampling were recently studied by Khansari and Leon-Garcia (1993). In this paper, we want to systematically study multirate filter banks with block sampling by studying general vector filter banks where the input signals and transfer functions in conventional multirate filter banks are replaced by vector signals and transfer matrices, respectively. We show that mu... View full abstract»

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  • Vector-valued wavelets and vector filter banks

    Publication Year: 1996, Page(s):508 - 518
    Cited by:  Papers (114)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (912 KB)

    In this paper, we introduce vector-valued multiresolution analysis and vector-valued wavelets for vector-valued signal spaces. We construct vector-valued wavelets by using paraunitary vector filter bank theory. In particular, we construct vector-valued Meyer wavelets that are band-limited. We classify and construct vector-valued wavelets with sampling property. As an application of vector-valued w... View full abstract»

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  • FIR paraunitary filter banks given several analysis filters: factorizations and constructions

    Publication Year: 1996, Page(s):720 - 723
    Cited by:  Papers (15)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (424 KB)

    FIR paraunitary filter banks have been extensively studied and well understood. We address the following problem: how to characterize and construct an FIR paraunitary filter bank when its several analysis filters are given a priori. To study this problem is not only useful in orthogonal M-band wavelets with certain regularity where we need to construct wavelet filters when a scaling filter with ce... View full abstract»

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  • Analysis of pruning in fast cosine transform

    Publication Year: 1996, Page(s):714 - 717
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (360 KB)

    The discrete cosine transform (DCT) is now the established technique for image and video coding. In most image coding set schemes, a large number of high-frequency transform coefficients can be neglected and need not be calculated. Therefore, significant savings in computation can be obtained by applying pruning in the fast algorithms. We analyze pruning in Chan and Ho's (1990) fast DCT algorithm ... View full abstract»

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  • A minimum misadjustment adaptive FIR filter

    Publication Year: 1996, Page(s):577 - 585
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (784 KB)

    The performance of an adaptive filter is limited by the misadjustment resulting from the variance of adapting parameters. This paper develops a method to reduce the misadjustment when the additive noise in the desired signal is correlated. Given a static linear model, the linear estimator that can achieve the minimum parameter variance estimate is known as the best linear unbiased estimator (BLUE)... View full abstract»

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  • Modeling (almost) periodic moving average processes using cyclic statistics

    Publication Year: 1996, Page(s):673 - 684
    Cited by:  Papers (8)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1144 KB)

    Estimating parameters of almost cyclostationary non-Gaussian moving average (MA) processes using noisy output-only data is considered. It is shown that second-order cyclic correlations of the output are generally insufficient in uniquely characterizing almost periodically time-varying MA(q) models, while third-order and higher order cumulants can be used to estimate their model parameters within a... View full abstract»

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  • Optimal matrix-filter design

    Publication Year: 1996, Page(s):705 - 709
    Cited by:  Papers (27)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (364 KB)

    A matrix filter produces N output values given a block of N input values. Matrix filters are particularly useful for filtering short data records (e.g. N⩽20). We introduce a new set of matrix-filter design criteria and show that the design of a matrix filter can be formulated as a convex optimization problem. Several examples are given of lowpass and bandpass designs as well as a Hilbert trans... View full abstract»

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  • General approach to blind source separation

    Publication Year: 1996, Page(s):562 - 571
    Cited by:  Papers (132)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1004 KB)

    This paper identifies and studies two major issues in the blind source separation problem: separability and separation principles. We show that separability is an intrinsic property of the measured signals and can be described by the concept of m-row decomposability introduced in this paper; we also show that separation principles can be developed by using the structure characterization theory of ... 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