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IEEE Signal Processing Letters

Issue 5 • May 2006

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Displaying Results 1 - 22 of 22
  • Table of contents

    Publication Year: 2006, Page(s):c1 - c4
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  • IEEE Signal Processing Letters publication information

    Publication Year: 2006, Page(s): c2
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  • Tunable dispersion filter design for piano synthesis

    Publication Year: 2006, Page(s):253 - 256
    Cited by:  Papers (12)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (160 KB) | HTML iconHTML

    The tunable dispersion filter is a new design approach presented in this letter to provide dispersion modeling for digital waveguide synthesis of musical instruments, which do not produce extremely inharmonic sounds, such as the piano. We propose to use a cascade of second-order allpass filters for modeling dispersion. The filter coefficients can be calculated by using simple formulae based on the... View full abstract»

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  • Minimum probability of error-based adaptive multiuser decision feedback detection

    Publication Year: 2006, Page(s):257 - 260
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (216 KB) | HTML iconHTML

    For synchronous direct-sequence code-division multiple access (DS-CDMA) systems, a new criterion based on minimum probability of error (MPE) is proposed for designing decision feedback detectors (DFDs) instead of the conventional minimum mean-squared error criterion. The MPE criterion-based DFD (MPEDFD) tries to minimize the average/conditional probability of error adaptively. Study of bit-error r... View full abstract»

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  • Cyclic prefixed single carrier transmission with SFBC over mobile wireless channels

    Publication Year: 2006, Page(s):261 - 264
    Cited by:  Papers (43)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (208 KB) | HTML iconHTML

    This letter proposes a space-frequency block-coded (SFBC) single-carrier frequency-domain equalization (SC-FDE) system. The transmit sequence of the proposed system is designed to have spatial and frequency diversities, and the corresponding combining receiver is derived under a minimum mean square error criterion. It is shown that the proposed system significantly outperforms the space-time block... View full abstract»

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  • A square-root adaptive V-BLAST algorithm for fast time-varying MIMO channels

    Publication Year: 2006, Page(s):265 - 268
    Cited by:  Papers (19)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (248 KB) | HTML iconHTML

    Among the methods that have been proposed for a multiple-input multiple-output (MIMO) receiver, the V-BLAST algorithm provides a good compromise between transmission rate, achievable diversity, and decoding complexity. In this letter, we derive a new adaptive V-BLAST-type equalization scheme for fast time-varying, flat-fading MIMO channels. The proposed equalizer stems from the Cholesky factorizat... View full abstract»

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  • Performance analysis for optimum combining of Rayleigh fading signals with correlated Rayleigh interferers and noise

    Publication Year: 2006, Page(s):269 - 272
    Cited by:  Papers (15)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (184 KB) | HTML iconHTML

    The exact performance analysis for optimum combining of faded signals is a difficult problem in the presence of both interferers and noise. This letter derives exact closed-form expressions for the probability density function and outage probability of output signal-to-interference-plus-noise ratio with a Rayleigh fading signal in the presence of additive noise and correlated equal-power Rayleigh ... View full abstract»

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  • Closed-loop extended orthogonal space-time block codes for three and four transmit antennas

    Publication Year: 2006, Page(s):273 - 276
    Cited by:  Papers (34)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (200 KB) | HTML iconHTML

    Complex orthogonal space-time block codes (STBCs) with linear processing for more than two transmit antennas cannot achieve a full rate in multiple-input and multiple-output (MIMO) channels. However, at the expense of losing some degree of diversity advantage, it is possible to achieve a full rate or even rates higher than one for any number of transmit antennas. In this letter, we propose new clo... View full abstract»

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  • Blind direct estimation of PSK symbols for zero padding OFDM in rapid channel variation cases

    Publication Year: 2006, Page(s):277 - 280
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (160 KB) | HTML iconHTML

    A totally blind ZP-OFDM receiver is derived in this letter. Unlike existing blind receivers that are based on the scheme that channels are estimated first and then equalizers (MMSE or ZF) are adopted to detect information symbols, our scheme is based on the symbol-block-by-symbol-block direct symbol estimation approach. The proposed receiver is also robust in rapid channel variation cases as long ... View full abstract»

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  • Adaptive image approximation by linear splines over locally optimal delaunay triangulations

    Publication Year: 2006, Page(s):281 - 284
    Cited by:  Papers (11)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (504 KB) | HTML iconHTML

    Locally optimal Delaunay triangulations are constructed to improve previous image approximation schemes. Our construction relies on a local optimization procedure, termed exchange. The efficient implementation of the exchange algorithm is addressed, and its complexity is discussed. The good performance of our improved image approximation is illustrated by numerical comparisons. View full abstract»

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  • LSB matching revisited

    Publication Year: 2006, Page(s):285 - 287
    Cited by:  Papers (302)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (95 KB) | HTML iconHTML

    This letter proposes a modification to the least-significant-bit (LSB) matching, a steganographic method for embedding message bits into a still image. In the LSB matching, the choice of whether to add or subtract one from the cover image pixel is random. The new method uses the choice to set a binary function of two cover pixels to the desired value. The embedding is performed using a pair of pix... View full abstract»

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  • An expected least-squares beamforming approach to signal estimation with steering vector uncertainties

    Publication Year: 2006, Page(s):288 - 291
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (624 KB) | HTML iconHTML

    We treat the problem of beamforming for signal estimation in the presence of steering vector uncertainties, where the goal is to estimate a signal amplitude from a set of array observations. Conventional beamforming methods typically aim at maximizing the signal-to-interference-plus-noise ratio (SINR). Recently, a maximum likelihood (ML) approach was introduced that leads to an iterative beamforme... View full abstract»

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  • Maximum likelihood estimation in linear models with a Gaussian model matrix

    Publication Year: 2006, Page(s):292 - 295
    Cited by:  Papers (16)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (160 KB) | HTML iconHTML

    We consider the problem of estimating an unknown deterministic parameter vector in a linear model with a Gaussian model matrix. We derive the maximum likelihood (ML) estimator for this problem and show that it can be found using a simple line-search over a unimodal function that can be efficiently evaluated. We then discuss the similarity between the ML, the total least squares (TLS), the regulari... View full abstract»

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  • Minimum risk thresholds for data with heavy noise

    Publication Year: 2006, Page(s):296 - 299
    Cited by:  Papers (12)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (160 KB) | HTML iconHTML

    In the estimation of data with many zeros (sparse data), such as wavelet coefficients, thresholding is a common technique. This letter investigates the behavior of the minimum risk threshold for large values of the noise standard deviation. It finds that the threshold depends quadratically on the noise standard deviation. The relevance of this result is situated in the context of both Bayesian and... View full abstract»

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  • On the multivariate Laplace distribution

    Publication Year: 2006, Page(s):300 - 303
    Cited by:  Papers (83)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (304 KB) | HTML iconHTML

    In this letter, we discuss the multivariate Laplace probability model in the context of a normal variance mixture model. We briefly review the derivation of the probability density function (pdf) and discuss a few important properties. We then present two methods for estimating its parameters from data and include an example of usage, where we apply the model to represent the statistics of the dis... View full abstract»

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  • Multichannel parametric speech enhancement

    Publication Year: 2006, Page(s):304 - 307
    Cited by:  Papers (8)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (160 KB) | HTML iconHTML

    We present a parametric model-based multichannel approach for speech enhancement. By employing an autoregressive model for the speech signal and using a trained codebook of speech linear predictive coefficients, minimum mean square error estimation of the speech signal is performed. By explicitly accounting for steering errors in the signal model, robust estimates are obtained. Experiments show th... View full abstract»

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  • Support vector machines using GMM supervectors for speaker verification

    Publication Year: 2006, Page(s):308 - 311
    Cited by:  Papers (368)  |  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (136 KB) | HTML iconHTML

    Gaussian mixture models (GMMs) have proven extremely successful for text-independent speaker recognition. The standard training method for GMM models is to use MAP adaptation of the means of the mixture components based on speech from a target speaker. Recent methods in compensation for speaker and channel variability have proposed the idea of stacking the means of the GMM model to form a GMM mean... View full abstract»

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  • IEEE Signal Processing Letters Information for authors

    Publication Year: 2006, Page(s):312 - 313
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  • Special issue on blind signal processing for speech and audio applications

    Publication Year: 2006, Page(s): 314
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  • Special issue on content storage and delivery in peer-to-peer network

    Publication Year: 2006, Page(s): 315
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  • Special issue on semantic image and video indexing in broad domains

    Publication Year: 2006, Page(s): 316
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  • IEEE Signal Processing Society Information

    Publication Year: 2006, Page(s): c3
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Aims & Scope

The IEEE Signal Processing Letters is a monthly, archival publication designed to provide rapid dissemination of original, cutting-edge ideas and timely, significant contributions in signal, image, speech, language and audio processing.

Full Aims & Scope

Meet Our Editors

Editor-in-Chief
James E. Fowler
Dept Electrical & Computer Engineering
Associate Director                         
Distributed Analytics and Security Institute
Mississippi State University
Mississippi State, MS 39762 USA
fowler@ece.msstate.edu