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Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on

6-10 April 2003

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Displaying Results 1 - 25 of 193
  • An adaptive variable step-size pre-filter bank algorithm for colored environments

    Publication Year: 2003, Page(s):VI - 357-60 vol.6
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (321 KB) | HTML iconHTML

    A variable step-size (VS) algorithm is proposed based on the pre-filter bank (pfb) adaptive algorithm, first introduced by Courville and Duhamel (1998). The proposed algorithm adjusts the step-sizes of the subbands by using a simplified version of the Benveniste procedure (Ang et al. (2001)). As the filter banks are commonly narrowband filters, their nondecimated outputs are highly correlated. Thi... View full abstract»

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  • Using carrier frequency estimators developed for AWGN channel in multipath fading channel

    Publication Year: 2003, Page(s):VI - 565-8 vol.6
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (348 KB) | HTML iconHTML

    A general approach that allows the extension of an CRB-achieving unbiased frequency estimator developed for the AWGN channel to be used for the multipath fading channel by using a periodic transmit sequence is given. The optimality of its performance is guaranteed in a multipath fading channel under certain conditions. The proposed method has low complexity but a reduced frequency operating range.... View full abstract»

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  • Transient behavior of affine projection algorithms

    Publication Year: 2003, Page(s):VI - 353-6 vol.6
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (319 KB) | HTML iconHTML

    Most analytical results on affine projection algorithms assume special regression models or Gaussian regression data. The available analyses also treat different affine projection filters separately. This paper provides a unified treatment of the transient performance of a family of affine projection algorithms. The treatment relies on energy conservation arguments and does not restrict the input ... View full abstract»

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  • Optimal FIR filters with almost linear phase

    Publication Year: 2003, Page(s):VI - 1-4 vol.6
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (266 KB) | HTML iconHTML

    FIR filters are known to be stable and have a linear phase when symmetry properties, e.g., h[n]=h[M-n], are kept. A common FIR filter design method is the Parks-McClellan algorithm. In this algorithm, linear phase FIR filters, which are optimal in the minimax sense, are designed. These filters have the form of H(ω)=A(ω)ej(β-ωα), where A(ω) is real, &al... View full abstract»

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  • An efficient quasi-maximum likelihood decoder for PSK signals

    Publication Year: 2003, Page(s):VI - 561-4 vol.6
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (318 KB) | HTML iconHTML

    Since exact maximum likelihood (ML) detection is computationally intractable in general, approximate ML approaches are needed to reduce the computation time while maintaining low bit error rate (BER). In this work, we develop an efficient approximate ML decoder for constant modulus signals based on a simple nonlinear programming relaxation. Unlike the existing sphere decoder whose expected complex... View full abstract»

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  • Block implementation of a synchronized learning algorithm in adaptive lattice filters

    Publication Year: 2003, Page(s):VI - 349-52 vol.6
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (321 KB) | HTML iconHTML

    In order to achieve fast convergence and less computation for adaptive filters, a joint method combining a whitening process and the NLMS algorithm is a hopeful approach. However, updating the filter coefficients is not synchronized with the reflection coefficient updating, resulting in unstable behavior. We analyze the effects of this, and propose the "synchronized learning algorithm" to solve th... View full abstract»

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  • An adaptive entropy optimization algorithm for blind source separation

    Publication Year: 2003, Page(s):VI - 605-8 vol.6
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (334 KB) | HTML iconHTML

    Independent component analysis (ICA) or blind signal separation (BSS) has become an increasing important research field due to its rapidly growing applications in various areas, such as telecommunication systems, sonar and radar systems, audio and acoustics, image enhancement and biomedical signal processing. First, a novel adaptive ICA (AICA) entropy optimization algorithm for finding pairs of si... View full abstract»

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  • Adaptive ESPRIT algorithm based on the PAST subspace tracker

    Publication Year: 2003, Page(s):VI - 229-32 vol.6
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (320 KB) | HTML iconHTML

    The Estimation of Signal Parameters via Rotational Invariance Techniques (ESPRIT) algorithm is a subspace-based analysis method used in source localization or frequency estimation, originally designed in a block signal processing context. In other respects, the Projection Approximation Subspace Tracker (PAST) is a fast and robust subspace tracking method. This paper introduces a new frequency esti... View full abstract»

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  • Robust classification of SAR imagery

    Publication Year: 2003, Page(s):VI - 557-60 vol.6
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (360 KB) | HTML iconHTML

    In this work the GA0 distribution is assumed as the universal model for amplitude synthetic aperture radar (SAR) imagery data under the multiplicative model. The observed data, therefore, is assumed to obey a GA0 (α, γ, n) law, where the parameter n is related to the speckle noise, and (α, γ) are related to the ground truth, givin... View full abstract»

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  • Orthogonal Hilbert transform filter banks and wavelets

    Publication Year: 2003, Page(s):VI - 505-8 vol.6
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (334 KB) | HTML iconHTML

    Complex wavelet transforms offer the opportunity to perform directional and coherent processing based on the local magnitude and phase of signals and images. Although denoising, segmentation, and image enhancement are significantly improved using complex wavelets, the redundancy of most current transforms hinders their application in compression and related problems. In this paper we introduce a n... View full abstract»

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  • Adaptive envelope-constrained filtering

    Publication Year: 2003, Page(s):VI - 345-8 vol.6
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (309 KB) | HTML iconHTML

    In the discrete-time envelope-constrained filtering problem, the gain of the filter is minimised subject to the constraint that the filter output to a prescribed input fits into a given envelope. A novel adaptive algorithm for solving this problem based on stochastic optimisation is presented. The algorithm is simple to implement on-line and convergence is demonstrated in numerical examples. Under... View full abstract»

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  • Bayesian learning for sparse signal reconstruction

    Publication Year: 2003, Page(s):VI - 601-4 vol.6
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (336 KB) | HTML iconHTML

    Sparse Bayesian learning and specifically relevance vector machines have received much attention as a means of achieving parsimonious representations of signals in the context of regression and classification. We provide a simplified derivation of this paradigm from a Bayesian evidence perspective and apply it to the problem of basis selection from overcomplete dictionaries. Furthermore, we prove ... View full abstract»

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  • Analysis of mismatch noise in randomly interleaved ADC system

    Publication Year: 2003, Page(s):VI - 277-80 vol.6
    Cited by:  Papers (8)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (301 KB) | HTML iconHTML

    Time interleaved A/D converters (ADC) can be used to increase the sample rate of an ADC system. However, a problem with time interleaved ADC is that distortion is introduced in the output signal due to various mismatch errors between the ADC. One way to decrease the impact of the mismatch errors is to introduce additional ADC in the interleaved structure and randomly select an ADC at each sample i... View full abstract»

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  • Interference suppression with minimal signal distortion

    Publication Year: 2003, Page(s):VI - 225-8 vol.6
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (319 KB) | HTML iconHTML

    We propose a two-stage adaptive filtering process for canceling narrowband interference from a wideband signal process, based on a reference signal consisting of a Doppler shifted version of the interference. The first stage uses the time-varying behavior of NLMS with large step-size to produce an estimate of the interference signal, in which the Doppler shift is mitigated. The second stage uses N... View full abstract»

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  • Robuston methods for stable statistical signal processing: principles and application to nonstationary signal estimation

    Publication Year: 2003, Page(s):VI - 649-52 vol.6
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (370 KB) | HTML iconHTML

    We introduce a reduced-detail paradigm for nonstationary statistical signal processing with enhanced performance. Time-frequency localized subspace signal components (called robustons) are used as atomic entities for statistical signal modeling and processing. Robuston signal processing employs special time-varying filters that allow an efficient on-line implementation, and statistical signal desc... View full abstract»

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  • Noise variance in signal denoising

    Publication Year: 2003, Page(s):VI - 185-8 vol.6
    Cited by:  Papers (4)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (313 KB) | HTML iconHTML

    In the thresholding method of denoising the optimum threshold is obtained as a function of additive noise variance. In practical problems, where the variance of the noise is unknown, the first step is to estimate the noise variance. The estimated noise variance is then implemented in calculation of the optimum threshold. The current available methods of variance estimation are heuristic. Here, we ... View full abstract»

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  • On the least squares signal approximation model for overdecimated rational nonuniform filter banks and applications

    Publication Year: 2003, Page(s):VI - 481-4 vol.6
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (324 KB) | HTML iconHTML

    With the advent of wavelets for lossy data compression came the notion of representing signals in a certain vector space by their projections in well chosen subspaces of the original space. In this paper, we consider the subspace of signals generated by an overdecimated rational nonuniform filter bank and find the optimal conditions under which the mean-squared error between a given deterministic ... View full abstract»

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  • Positioning using time-difference of arrival measurements

    Publication Year: 2003, Page(s):VI - 553-6 vol.6
    Cited by:  Papers (72)  |  Patents (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (308 KB) | HTML iconHTML

    The problem of position estimation from time difference of arrival (TDOA) measurements occurs in a range of applications from wireless communication networks to electronic warfare positioning. Correlation analysis of the transmitted signal to two receivers gives rise to one hyperbolic function. With more than two receivers, we can compute more hyperbolic functions, which ideally intersect in one u... View full abstract»

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  • On efficient implementation of oversampled linear phase perfect reconstruction filter banks

    Publication Year: 2003, Page(s):VI - 501-4 vol.6
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (355 KB) | HTML iconHTML

    In this paper, we first present an alternative way of generating oversampled linear phase perfect reconstruction filter banks (OSLPPRFB). We show that this method provides the minimal factorization of a subset of existing OSLPPRFB. The combination of the new structure and the conventional one leads to efficient implementations of a general class of OSLPPRFB. Possible application of the new scheme ... View full abstract»

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  • Analysis of adaptive filter algorithms in feedback systems

    Publication Year: 2003, Page(s):VI - 341-4 vol.6
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (316 KB) | HTML iconHTML

    The paper presents some convergence results of an adaptive filter algorithm for a feedback-type active noise control (ANC) system with feedback path modeling using a dither signal and for feedback path modeling of hearing aids. In these systems, there is an adaptive filter in the feedback path so that the conventional method for analysis does not work. A frequency domain method is used for the ana... View full abstract»

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  • Fast in-cylinder pressure reconstruction from structure-borne sound using the EM algorithm

    Publication Year: 2003, Page(s):VI - 597-600 vol.6
    Cited by:  Papers (8)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (362 KB) | HTML iconHTML

    The paper addresses the problem of reconstructing the low-frequency part of the in-cylinder pressure of spark ignition engines by analyzing structure-borne sound signals measured on the surface of the engine block. The new pressure trace model proposed yields accurate approximations with a minimal number of parameters. When combined with the EM algorithm, a processing scheme results that provides ... View full abstract»

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  • Image enlargement using fractal

    Publication Year: 2003, Page(s):VI - 273-6 vol.6
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (356 KB) | HTML iconHTML

    In fractal coding technique, an image is encoded by making use of its self-similarity property. The image can be reconstructed with some well-defined contractive mappings based on this property and hence, in theory, the reconstructed image can be of any desirable size by using an initial image of appropriate size during the decoding process. However, in practice, the enlarged image is always degra... View full abstract»

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  • Bases for the whole sample symmetric filter banks using a complex allpass filter

    Publication Year: 2003, Page(s):VI - 381-4 vol.6
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (283 KB) | HTML iconHTML

    This work is concerned with the design problem of a whole sample symmetric filter bank where the lowpass and highpass filters are defined in terms of a complex allpass filter. The design problem reduces to the evaluation of the coefficients of this allpass filter. The regularity requirement of the filter bank leads to a set of flatness constraints. The required frequency selectivity of the filters... View full abstract»

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  • Time-frequency-autoregressive random processes: modeling and fast parameter estimation

    Publication Year: 2003, Page(s):VI - 125-8 vol.6
    Cited by:  Papers (11)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (373 KB) | HTML iconHTML

    We present a novel formulation of nonstationary autoregressive (AR) models in terms of time-frequency (TF) shifts. The parameters of the proposed TFAR model are determined by "TF Yule-Walker equations" that involve the expected ambiguity function and can be solved efficiently due to their block-Toeplitz structure. For moderate model orders, we also propose approximate TF Yule-Walker equations that... View full abstract»

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  • A gradient algorithm for phase-only adaptive FIR filtering

    Publication Year: 2003, Page(s):VI - 221-4 vol.6
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (310 KB) | HTML iconHTML

    In this paper, we describe a simple gradient algorithm for adapting the phase response of an FIR filter whose magnitude response is already specified. The algorithm is an extension of a previously-developed gradient adaptive algorithm for allpass filtering. The algorithm directly adjusts the impulse response of the FIR filter using input and desired response signals in a simple manner without the ... View full abstract»

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