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IEEE Signal Processing Letters

Issue 12 • Date Dec. 2010

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Displaying Results 1 - 21 of 21
  • IEEE Signal Processing Letters publication information

    Publication Year: 2010, Page(s): C2
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  • Table of contents

    Publication Year: 2010, Page(s):979 - 980
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  • ICI Mitigation for OFDM Using PEKF

    Publication Year: 2010, Page(s):981 - 984
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (343 KB) | HTML iconHTML

    Orthogonal frequency division multiplexing (OFDM) is widely known as the promising broadband wireless communication technology due to the high spectral efficiency and robustness to the multi-path interference. However, the inter-carrier interference (ICI) caused by Doppler frequency offset is an important issue for OFDM in high mobility. In this paper, the method to mitigate ICI for OFDM system is... View full abstract»

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  • Proportionate Adaptive Filters From a Basis Pursuit Perspective

    Publication Year: 2010, Page(s):985 - 988
    Cited by:  Papers (11)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (150 KB) | HTML iconHTML

    In this letter, we show that the normalized least-mean-square (NLMS) algorithm and the affine projection algorithm (APA) can be decomposed as the sum of two orthogonal vectors. One of these vectors is derived from an ℓ2-norm optimization problem while the other one is simply a good initialization vector. By replacing this optimization with the basis pursuit, which is based on the... View full abstract»

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  • Image Enhancement and Noise Suppression for FLAIR MRIs With White Matter Lesions

    Publication Year: 2010, Page(s):989 - 992
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (407 KB) | HTML iconHTML

    This work presents an image reconstruction technique for noise suppression in FLAIR MRI with white matter lesions (WML). The technique utilizes a fuzzy edge estimate to initially localize edge information. Edge and intensity information are coupled through the conditional expectation operator, resulting in a robust and global description of the edge content in the image. As this global measure sep... View full abstract»

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  • Semi-Blind Joint Channel Estimation and Data Detection for Space-Time Shift Keying Systems

    Publication Year: 2010, Page(s):993 - 996
    Cited by:  Papers (17)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (176 KB) | HTML iconHTML

    A low-complexity semi-blind joint channel estimation and data detection scheme is proposed for space-time shift keying (STSK) based multiple-input multiple-output systems. The minimum number of STSK training blocks, which is related to the number of transmitter antennas, is first utilized to provide a rough initial least square channel estimate (LSCE). Then low-complexity single-stream maximum lik... View full abstract»

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  • Single Relay Selection With Feedback and Power Allocation in Multisource Multidestination Cooperative Networks

    Publication Year: 2010, Page(s):997 - 1000
    Cited by:  Papers (8)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (175 KB) | HTML iconHTML

    Single relay selection has been shown to be an attractive strategy for cooperative communications. In this work, we extend the distributed selection cooperation protocol with feedback to multisource multidestination cooperative networks and investigate the best relay confliction problem existing in the scenario. In the high signal-to-noise ratio (SNR) regime, due to the fact that sharing the same ... View full abstract»

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  • An Array Recursive Least-Squares Algorithm With Generic Nonfading Regularization Matrix

    Publication Year: 2010, Page(s):1001 - 1004
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (390 KB) | HTML iconHTML

    We present a novel array RLS algorithm with forgetting factor that circumvents the problem of fading regularization, inherent to the standard exponentially-weighted RLS, by allowing for time-varying regularization matrices with generic structure. Simulations in finite precision show the algorithm's superiority as compared to alternative algorithms in the context of adaptive beamforming. View full abstract»

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  • Optimal Mean-Square Noise Benefits in Quantizer-Array Linear Estimation

    Publication Year: 2010, Page(s):1005 - 1009
    Cited by:  Papers (8)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (208 KB) | HTML iconHTML

    A new theorem shows that additive quantizer noise decreases the mean-squared error of threshold-array optimal and suboptimal linear estimators. The initial rate of this noise benefit improves as the number of threshold sensors or quantizers increases. The array sums the outputs of identical binary quantizers that receive the same random input signal. The theorem further shows that zero-symmetric u... View full abstract»

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  • Improving Speech Intelligibility in Noise Using a Binary Mask That Is Based on Magnitude Spectrum Constraints

    Publication Year: 2010, Page(s):1010 - 1013
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (604 KB) | HTML iconHTML

    A new binary mask is introduced for improving speech intelligibility based on magnitude spectrum constraints. The proposed binary mask is designed to retain time-frequency (T-F) units of the mixture signal satisfying a magnitude constraint while discarding T-F units violating the constraint. Motivated by prior intelligibility studies of speech synthesized using the ideal binary mask, an algorithm ... View full abstract»

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  • Distribution Preserving Quantization With Dithering and Transformation

    Publication Year: 2010, Page(s):1014 - 1017
    Cited by:  Papers (13)  |  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (168 KB) | HTML iconHTML

    A new quantization scheme that preserves the probability distribution of the source signal is presented. The distribution preserving quantization (DPQ) achieves the optimal trade-off between mean square error and bit rate asymptotically. It provides a continuum ranging from rate-distortion optimal signal quantization to parametric coding. The method can be used as a core component for scalable cod... View full abstract»

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  • Texture-Preserving Image Deblurring

    Publication Year: 2010, Page(s):1018 - 1021
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (380 KB) | HTML iconHTML

    In this letter, a two-step texture-preserving image deblurring method is proposed. This method restores the blurred image in the frequency domain to obtain a noisy result with minimal loss of signal components, followed by a modified non-local means (NLM) filter to attenuate the leaked colored noise. This modified NLM filter computes the weights not only using the self-similarity of the neighbors,... View full abstract»

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  • Comments on “Iterative Estimation of Sinusoidal Signal Parameters”

    Publication Year: 2010, Page(s):1022 - 1023
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (248 KB) | HTML iconHTML

    In this note, we show that the iterative frequency estimation technique proposed in is nothing but an approximate Gauss-Newton (GN) algorithm for minimizing the standard nonlinear least squares fitting criterion. Starting from the complex sinusoidal data model used in , we derive the GN algorithm for frequency estimation and show that by approximating some steps in the GN algorithm we arrive at th... View full abstract»

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  • Reply to “Comments on ‘Iterative Estimation of Sinusoidal Signal Parameters’”

    Publication Year: 2010, Page(s):1024 - 1026
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (177 KB) | HTML iconHTML

    The method proposed in , referred to as iterative Quasi-Harmonic Model (iQHM), is an iterative frequency estimation technique. It is based on a linearized version of the frequency error between the true frequency and the initially provided frequency, while the estimation of its unknown parameters is performed by Least Squares (LS) method. In , a relationship between iQHM and Gauss-Newton (GN) meth... View full abstract»

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  • List of Reviewers

    Publication Year: 2010, Page(s):1027 - 1033
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  • IEEE Signal Processing Letters Information for authors

    Publication Year: 2010, Page(s):1034 - 1035
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  • Advertisement - IEEE Foundation

    Publication Year: 2010, Page(s): 1063
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  • Proven powerful [advertisement]

    Publication Year: 2010, Page(s): 1064
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  • 2010 Index IEEE Signal Processing Letters Vol. 17

    Publication Year: 2010, Page(s):1038 - 1064
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  • IEEE Signal Processing Society Information

    Publication Year: 2010, Page(s): C3
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  • Blank page [back cover]

    Publication Year: 2010, Page(s): C4
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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