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Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on

Date 7-11 May 2001

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  • 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing Proceedings [front matter]

    Publication Year: 2001, Page(s):i - xci
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  • An iterative solution for the optimal poles in a Kautz series

    Publication Year: 2001, Page(s):3949 - 3952 vol.6
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (301 KB) | HTML iconHTML

    Kautz series allow orthogonal series expansion of finite-energy signals defined on a semi-infinite axis. The Kautz series consists of orthogonalized exponential functions or sequences. This series has as free parameters an ordered set of poles, each pole associated with an exponential function or sequence. For reasons of approximation and compact representation (coding), an appropriate set of orde... View full abstract»

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  • Some of the abstracts listed in the student forum reflect work that was not published in the ICASSP proceedings

    Publication Year: 2001, Page(s):4013 - 4053
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  • Author index

    Publication Year: 2001, Page(s):4055 - 4068
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  • Network tomography for internal delay estimation

    Publication Year: 2001, Page(s):3409 - 3412 vol.6
    Cited by:  Papers (23)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (340 KB) | HTML iconHTML

    On-line, spatially localized information about internal network performance can greatly assist dynamic routing algorithms and traffic transmission protocols. However, it is impractical to measure network traffic at all points in the network. A promising alternative is to measure only at the edge of the network and infer internal behavior from these measurements. We concentrate on the estimation an... View full abstract»

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  • Blind image restoration for ultrasonic C-scan using constrained 2D-HOS

    Publication Year: 2001, Page(s):3405 - 3408 vol.6
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (320 KB) | HTML iconHTML

    A new approach is presented to use higher order statistics (HOS) to deconvolve the effects of blurring in ultrasonic C-scans. The quantization effects of the mechanical scan-grid and the conversion of the 1D A-scan into one pixel on the image cause blurring. The proposed approach is completely blind to the source or the type of distortion and the formulation is purely two-dimensional. When the blu... View full abstract»

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  • Ultrasonic scatterer structure classification with the generalized spectrum

    Publication Year: 2001, Page(s):3401 - 3404 vol.6
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (316 KB) | HTML iconHTML

    Ultrasonic back-scattered shoes resulting from the structures within a scanned object contain information of potential diagnostic value. The most common nondestructive evaluation (NDE) techniques use large-scale changes in the back-scatterer coefficients to reveal boundaries between materials with different density/elasticity properties or defects in homogenous material regions. Less common techni... View full abstract»

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  • A new unbiased equation error algorithm for IIR ADF and its application to ALE

    Publication Year: 2001, Page(s):3737 - 3740 vol.6
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (252 KB) | HTML iconHTML

    A new online algorithm for updating equation error IIR ADF is proposed. The proposed algorithm, which involves maintaining a constant power of the desired signal, is independent of the white disturbance signal, and hence there is no bias in the coefficient's estimate of the ADF. We also provide the analysis and simulation results which verify this kind of performance. Application of the proposed a... View full abstract»

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  • The design of equiripple matrix filters

    Publication Year: 2001, Page(s):3793 - 3796 vol.6
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (292 KB) | HTML iconHTML

    This paper presents a procedure for deriving linear filters which are based on matrix-vector multiplication instead of linear convolution and which can be designed to match the frequency responses of linear equiripple FIR filters. The magnitude of the matrix filter response is matched to the magnitude response of a given linear FIR filter by solving a set of nonlinear equations numerically using B... View full abstract»

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  • Biorthogonal Butterworth wavelets

    Publication Year: 2001, Page(s):3645 - 3648 vol.6
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (296 KB) | HTML iconHTML

    We present a new family of biorthogonal wavelet transforms and a related library of biorthogonal symmetric wavelets. For the construction we use the interpolatory discrete splines which enable us to design perfect reconstruction filter banks related to the Butterworth filters. The construction is performed in a “lifting” manner. The proposed scheme is based on interpolation and, as suc... View full abstract»

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  • Speech dereverberation via maximum-kurtosis subband adaptive filtering

    Publication Year: 2001, Page(s):3701 - 3704 vol.6
    Cited by:  Papers (58)  |  Patents (26)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (360 KB) | HTML iconHTML

    This paper presents an efficient algorithm for high-quality speech capture in applications such as hands-free teleconferencing or voice recording by personal computers. We process the microphone signals by a subband adaptive filtering structure using a modulated complex lapped transform (MCLT), in which the subband filters are adapted to maximize the kurtosis of the linear prediction (LP) residual... View full abstract»

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  • Volterra filters using multirate signal processing and their application to loudspeaker systems

    Publication Year: 2001, Page(s):3497 - 3500 vol.6
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (304 KB) | HTML iconHTML

    We propose two methods for reducing the computational complexity of Volterra filters. First, a method reducing the computational complexity of Volterra filters is proposed. This method can be realized by incorporating multirate signal processing into the Volterra filters. Hence, it is possible to operate the bandlimited Volterra filter at a low sampling rate and with a short system length. Second,... View full abstract»

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  • Spatio-temporal signal processing for multisubject functional MRI studies

    Publication Year: 2001, Page(s):3441 - 3444 vol.6
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (228 KB) | HTML iconHTML

    We consider signal estimation for functional MRI studies on multiple subjects. There are two major issues; alignment or registration of images across subjects, and using the multisubject information to capture covariance information; we discuss only the latter. Capturing this covariance information properly can lead to great improvements in statistical efficiency beyond what simple averaging can o... View full abstract»

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  • Invariance algorithms for nondestructive evaluation

    Publication Year: 2001, Page(s):3397 - 3400 vol.6
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (308 KB) | HTML iconHTML

    A new class of invariant pattern recognition algorithms is required for interpreting nondestructive evaluation signals that occur during in-line inspection of components with varying material properties. This paper presents the theoretical development of these invariance algorithms and provides experimental validation of these algorithms using applications in magnetic flux leakage NDE and ultrasou... View full abstract»

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  • Signal-adaptive robust time-varying Wiener filters: best subspace selection and statistical analysis

    Publication Year: 2001, Page(s):3945 - 3948 vol.6
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (372 KB) | HTML iconHTML

    We propose a signal-adaptive robust time-varying Wiener filter for nonstationary signal estimation/enhancement. This filter uses projections onto local cosine subspaces and a novel “best subspace” algorithm. It allows efficient online operation including stable online estimation of design parameters. A statistical analysis is provided, and a speech enhancement example is considered View full abstract»

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  • Adaptive signal processing by particle filters and discounting of old measurements

    Publication Year: 2001, Page(s):3733 - 3736 vol.6
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (304 KB) | HTML iconHTML

    In adaptive signal processing the principle of exponentially weighted recursive least-squares plays a major role in developing various estimation algorithms. It is based on the concept of discounting of old measurements and allows for better performance in problems with time-varying signals and signals in nonstationary noise. We show how this concept can be combined with the Bayesian methodology. ... View full abstract»

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  • Orthonormal realization of fast fixed-order RLS adaptive filters

    Publication Year: 2001, Page(s):3789 - 3792 vol.6
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (260 KB) | HTML iconHTML

    The existing derivations of fast RLS adaptive filters are dependent on the shift structure in the input regression vectors. This structure arises when a tapped-delay line (FIR) filter is used as a modeling filter. We show, unlike what original derivations may suggest, that fast fixed-order RLS adaptive algorithms are not limited to FIR filter structures. We show that fast recursions in both explic... View full abstract»

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  • Frame reconstruction of the Laplacian pyramid

    Publication Year: 2001, Page(s):3641 - 3644 vol.6
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (300 KB) | HTML iconHTML

    We study the Laplacian pyramid (LP) as a frame operator, and this reveals that the usual reconstruction is suboptimal. With orthogonal filters, the LP is shown to be a tight frame, thus the optimal linear reconstruction using the dual frame operator has a simple structure as symmetrical with the forward transform. For more general cases, we propose an efficient filter bank for reconstruction in th... View full abstract»

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  • Sampling criterion for nonlinear systems with a bandpass input

    Publication Year: 2001, Page(s):3457 - 3460 vol.6
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (252 KB) | HTML iconHTML

    Sampling requirements for nonlinear systems with a bandpass input are developed. It is well known that the output of a nonlinear system may have a larger bandwidth than that of the input. According to the Nyquist sampling theorem, the sampling rate needs to be at least twice the maximum frequency of the output to avoid aliasing. However, if the input is a bandpass signal, the spectrum of the outpu... View full abstract»

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  • Jitter effects in a multipath environment

    Publication Year: 2001, Page(s):3905 - 3908 vol.6
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (244 KB) | HTML iconHTML

    This paper studies the effects of jitter in a multipath environment. The power spectral density of a process subjected to jitter and multipath is first derived. The problem of reconstruction of a time-continuous process from observations subjected to jitter and multipath is then considered. Simulation and theoretical results are finally shown to be in good agreement View full abstract»

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  • Revisiting adaptive signal subspace estimation based on Rayleigh's quotient

    Publication Year: 2001, Page(s):4009 - 4012 vol.6
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (232 KB) | HTML iconHTML

    We propose a new adaptive algorithm for subspace estimation and tracking that is based on Rayleigh's quotient. This algorithm allows the estimation of the signal subspace of a vector sequence. It has a number of interesting properties such as a low computational complexity, a fast convergence, orthogonality of the subspace vectors which is ensured at each iteration and a good numerical stability. ... View full abstract»

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  • Optimal prefilters for the multiwavelet filter banks

    Publication Year: 2001, Page(s):3613 - 3616 vol.6
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (272 KB) | HTML iconHTML

    This paper proposes a method to obtain optimal 2nd-order approximation preserving prefilters for a given orthogonal unbalanced multiwavelet basis. This procedure uses the prefilter construction introduced in Hardin et al., (1998). The prefilter optimization scheme exploits the Taylor series expansion of the prefilter combined with the multiwavelet. Using the DGHM multiwavelet with the obtained opt... View full abstract»

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  • Fabric defect detection using adaptive wavelet

    Publication Year: 2001, Page(s):3697 - 3700 vol.6
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (348 KB) | HTML iconHTML

    This paper studies the adaptive wavelet design for fabric defect detection. In order to achieve translation invariance and more flexible design, the wavelet design focuses on the nonsubsampled wavelet transform. We design the wavelet filters under the constraints that the analysis filters are power-complementary and the wavelet has only one vanishing moment, which corresponds to a multiscale edge ... View full abstract»

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  • A fully adaptive normalized nonlinear gradient descent algorithm for nonlinear system identification

    Publication Year: 2001, Page(s):3493 - 3496 vol.6
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (288 KB) | HTML iconHTML

    A fully adaptive normalized nonlinear gradient descent (FANNGD) algorithm for neural adaptive filters employed for nonlinear system identification is proposed. This full adaptation is achieved using the instantaneous squared prediction error to adapt the free parameter of the NNGD algorithm. The convergence analysis of the proposed algorithm is undertaken using the contractivity property of the no... View full abstract»

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  • Wavelet-based denoising using hidden Markov models

    Publication Year: 2001, Page(s):3925 - 3928 vol.6
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (312 KB) | HTML iconHTML

    Hidden Markov models have been used in a wide variety of wavelet-based statistical signal processing applications. Typically, Gaussian mixture distributions are used to model the wavelet coefficients and the correlation between the magnitudes of the wavelet coefficients within each scale and/or across the scales is captured by a Markov tree imposed on the (hidden) states of the mixture. This paper... View full abstract»

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