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IEEE Signal Processing Letters

Issue 6 • Date June 2006

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Displaying Results 1 - 23 of 23
  • 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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  • A new differential modulation for coded OFDM with multiple transmit antennas

    Publication Year: 2006, Page(s):317 - 320
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (216 KB) | HTML iconHTML

    A new differential modulation scheme is presented for coded orthogonal frequency-division multiplexing (OFDM) systems with multiple transmit antennas in frequency- and time-selective channels. In contrast to an earlier scheme that involves differential modulation in space and time (ST) across two code matrices, the new scheme performs it in space and frequency (SF) within only one code matrix. As ... View full abstract»

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  • Suboptimal soft-output MAP detector with lattice reduction

    Publication Year: 2006, Page(s):321 - 324
    Cited by:  Papers (34)  |  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (224 KB) | HTML iconHTML

    The use of lattice reduction (LR) has been shown to be a very effective method for signal detection in multiple antenna systems. In this letter, the performance of the suboptimal soft-output maximum a posteriori (MAP) detector with lattice reduction is studied. We propose two polynomial-time methods for flat fading channels to generate the desired size candidate list in the reduced lattice. The su... View full abstract»

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  • Separate linear receiver interfaces for MIMO multiple-access channels

    Publication Year: 2006, Page(s):325 - 328
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (232 KB) | HTML iconHTML

    We address the design of a receiver for the uplink of a direct sequence code division multiple access wireless communication system, endowed with multiple transmit and receive antennas and affected by multiple-access interference (MAI) for the presence of multiple transmitting users. The receiver is assumed to keep separate the tasks of mitigating the spatial and MAI in order to be implementable i... View full abstract»

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  • The multiple-parameter discrete fractional Fourier transform

    Publication Year: 2006, Page(s):329 - 332
    Cited by:  Papers (50)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (520 KB) | HTML iconHTML

    The discrete fractional Fourier transform (DFRFT) is a generalization of the discrete Fourier transform (DFT) with one additional order parameter. In this letter, we extend the DFRFT to have N order parameters, where N is the number of the input data points. The proposed multiple-parameter discrete fractional Fourier transform (MPDFRFT) is shown to have all of the desired properties for fractional... View full abstract»

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  • Multinomial Lagrange-Bernstein approximants

    Publication Year: 2006, Page(s):333 - 336
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (152 KB) | HTML iconHTML

    The well-known Bernstein polynomials are frequently used in signal representation, finite impulse response filter realization, computer-aided geometric design, and B-spline techniques. In this letter, a refinement of the Bernstein approximation scheme for complex exponentials, by making use of a judicious Lagrange interpolation scheme, is proposed. Applied to a general function, this approach lead... View full abstract»

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  • Noise estimation for video processing based on spatio-temporal gradients

    Publication Year: 2006, Page(s):337 - 340
    Cited by:  Papers (18)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (208 KB) | HTML iconHTML

    We propose an efficient and accurate wavelet-based noise estimation method for white Gaussian noise in video sequences. The proposed method analyzes the distribution of spatial and temporal gradients in the video sequence in order to estimate the noise variance. The estimate is derived from the most frequent gradient in the two distributions and is compensated for the errors due to the spatio-temp... View full abstract»

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  • Model-based joint source channel coding for subband video

    Publication Year: 2006, Page(s):341 - 344
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (192 KB) | HTML iconHTML

    The objective of joint source channel coding (JSCC) is to optimally allocate the available channel bandwidth between source coding and channel coding in order to minimize the average distortion in the presence of packet losses. Unlike previous research, which focuses on determining distortion-optimized methods for JSCC using either assumptions about the rate-distortion (R-D) curve properties of so... View full abstract»

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  • Modified M-band synthesis filter bank for fractional scalability of images

    Publication Year: 2006, Page(s):345 - 348
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (536 KB) | HTML iconHTML

    Subband image coding with classical wavelet transforms inherently provides dyadic scalability since the low-pass approximation band can be used as a half-sized version of the original image. The multiresolution approach further provides scalability factors that are powers of two, but no other factors can be easily reached. On the other hand, a hierarchical scheme based on M-bandtransforms will lea... View full abstract»

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  • Improved structured least squares for the application of unitary ESPRIT to cross arrays

    Publication Year: 2006, Page(s):349 - 352
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (152 KB) | HTML iconHTML

    A key problem in high-resolution multidimensional parameter estimation via unitary ESPRIT is to jointly solve a set of invariance equations by means of least-squares minimization. It has been shown previously that existing least-squares techniques fail when applied to the category of cross arrays, which consist of perpendicular uniform linear arrays crossing at the center of the array. Cross array... View full abstract»

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  • The impact of the cropping attack on scalar STDM data hiding

    Publication Year: 2006, Page(s):353 - 356
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (176 KB) | HTML iconHTML

    Scalar spread transform dither modulation (SSTDM), together with its variants, is one of the foremost side-informed data hiding methods. Because of the projection stage of additive spread spectrum (Add-SS), SSTDM achieves the same spreading gain as the former, so that both become robust to additive attacks. We show that the similarities between Add-SS and SSTDM do not extend to the popular croppin... View full abstract»

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  • A particle filter for tracking two closely spaced objects using monopulse radar channel signals

    Publication Year: 2006, Page(s):357 - 360
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (312 KB) | HTML iconHTML

    For the case of a single resolved target, monopulse-based radar sub-beam angle and sub-bin range measurements carry errors that are approximately Gaussian with known covariances, and hence, a tracker that uses them can be Kalman based. However, the errors accruing from extracting measurements for multiple unresolved targets are not Gaussian. We therefore submit that to track such targets, it is wo... View full abstract»

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  • Hierarchical-likelihood-based wavelet method for denoising signals with missing data

    Publication Year: 2006, Page(s):361 - 364
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (584 KB) | HTML iconHTML

    This letter proposes a wavelet denoising method in the presence of missing data. This approach is based on a coupling of wavelet shrinkage and hierarchical (or h)-likelihood method. The h-likelihood provides an effective imputation methodology of missing data to give wavelet estimators for signals and motivates a fast and simple algorithm. The method can be easily extended to other settings, such ... View full abstract»

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  • Gauss–Markov Model for Wavelet-Based SAR Image Despeckling

    Publication Year: 2006, Page(s):365 - 368
    Cited by:  Papers (23)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (608 KB) | HTML iconHTML

    This letter presents synthetic aperture radar (SAR) image despeckling using dyadic wavelet transform. Maximum a posteriori (MAP) estimation is used to despeckle a SAR image in the wavelet domain. A wavelet transformed speckle-free image is approximated with a Gauss–Markov random field, and a Gaussian model is chosen to approximate speckle in the wavelet domain. A speckle-free wavelet coeffic... View full abstract»

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  • Mixture effects in FIR low-pass filtered signals

    Publication Year: 2006, Page(s):369 - 372
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (240 KB) | HTML iconHTML

    Accurate classification of signals composed of two or more classification classes (e.g., biomedical imaging data with pathological structures) might utilize a density that takes account of the signal acquisition process. A new density based on a Gaussian point spread function (PSF) and another utilizing a phenomenological observation known as Benford's Law are presented. Histograms of filtered sig... View full abstract»

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  • On Ryde´n's EM algorithm for estimating MMPPs

    Publication Year: 2006, Page(s):373 - 376
    Cited by:  Papers (21)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (176 KB) | HTML iconHTML

    Two aspects of Ryden's expectation-maximization algorithm for estimating the parameter of a Markov modulated Poisson process are addressed. First, a scaling procedure is developed for the forward-backward recursions that circumvents the need for customized floating-point software. Second, evaluation of integrals of matrix exponentials is facilitated by applying a result due to Van Loan. For an MMP... View full abstract»

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  • State smoothing in Markov-switching time-frequency GARCH models

    Publication Year: 2006, Page(s):377 - 380
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (160 KB) | HTML iconHTML

    In this letter, we propose a state smoothing algorithm for path-dependent Markov-switching generalized autoregressive conditional heteroscedasticity (GARCH) processes. Our smoothing technique extends the forward-backward recursions of Chang and Hancock and the stable backward recursion of Lindgren, Askar and Derin. We derive two recursive steps for the evaluation of conditional densities of future... View full abstract»

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  • Wiener-Hammerstein systems modeling using diagonal Volterra kernels coefficients

    Publication Year: 2006, Page(s):381 - 384
    Cited by:  Papers (30)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (160 KB) | HTML iconHTML

    In this letter, we first present explicit relations between block-oriented nonlinear representations and Volterra models. For an identification purpose, we show that the estimation of the diagonal coefficients of the Volterra kernels associated with the considered block-oriented nonlinear structures is sufficient to recover the overall model. An alternating least squares-type algorithm is provided... View full abstract»

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  • IEEE Signal Processing Letters Information for authors

    Publication Year: 2006, Page(s):385 - 386
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    Freely Available from IEEE
  • Call for papers on network-aware multimedia processing and communications

    Publication Year: 2006, Page(s): 387
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  • Special issue on adaptive waveform design for agile sensing and communication

    Publication Year: 2006, Page(s): 388
    Request permission for commercial reuse | PDF file iconPDF (168 KB)
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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
Peter Willett
University of Connecticut
Storrs, CT 06269
peter.willett@uconn.edu