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IEEE Signal Processing Letters

Issue 2 • Date Feb. 2006

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Displaying Results 1 - 19 of 19
  • 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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  • Approximate inference in hidden Markov models using iterative active state selection

    Publication Year: 2006, Page(s):65 - 68
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (208 KB) | HTML iconHTML

    The inferential task of computing the marginal posterior probability mass functions of state variables and pairs of consecutive state variables of a hidden Markov model is considered. This can be exactly and efficiently performed using a message passing scheme such as the Bahl-Cocke-Jelinek-Raviv (BCJR) algorithm. We present a novel iterative reduced complexity variation of the BCJR algorithm that... View full abstract»

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  • Binary arithmetic coding with key-based interval splitting

    Publication Year: 2006, Page(s):69 - 72
    Cited by:  Papers (37)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (176 KB) | HTML iconHTML

    Binary arithmetic coding involves recursive partitioning the range [0,1) in accordance with the relative probabilities of occurrence of the two input symbols. We describe a modification of this approach in which the overall length within the range [0,1) allocated to each symbol is preserved, but the traditional assumption that a single contiguous interval is used for each symbol is removed. A key ... View full abstract»

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  • Blind maximum likelihood CFO estimation for OFDM systems via polynomial rooting

    Publication Year: 2006, Page(s):73 - 76
    Cited by:  Papers (30)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (216 KB) | HTML iconHTML

    The blind carrier frequency offset estimation problem has been well studied by exploiting the virtual carriers existing in practical orthogonal frequency division multiplexing transmissions. A highly efficient approach by rooting a polynomial has been proposed in the literature. However, this rooting method is suboptimal when noise is present. In this letter, we propose an improved polynomial root... View full abstract»

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  • An efficient architecture for orthogonal wavelet transforms

    Publication Year: 2006, Page(s):77 - 79
    Cited by:  Papers (8)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (160 KB) | HTML iconHTML

    A novel architecture is advanced for the efficient high-speed computation of orthogonal one-dimensional two-channel discrete wavelet transforms. The structure is derived when the multirate operations (downsampling and upsampling) are staggered. Compared with the polyphase and lattice architectures the developed architecture requires the minimum number of multiplications. It preserves orthogonality... View full abstract»

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  • Threshold performance of MUSIC when using the forward-backward data matrix

    Publication Year: 2006, Page(s):80 - 83
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (176 KB) | HTML iconHTML

    The multiple signal classification (MUSIC) frequency estimator is a suboptimal method for estimating the frequencies of multiple sinusoids buried in white noise and has a threshold of around 14 dB for the well-known two-sinusoid example (equal amplitudes f1=0.52, f2=0.5, φ1=π/4, and φ2=0). We point out that this threshold value is the result o... View full abstract»

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  • Error resiliency measure for RVLC codes

    Publication Year: 2006, Page(s):84 - 87
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (176 KB) | HTML iconHTML

    Video signals transmitted over error-prone wireless channels are often corrupted by bit errors. Due to their superior data recovery performance, the reversible variable length coding (RVLC) has been used as an error resiliency scheme in the MPEG-4 and H.263 video coding standards. In order to evaluate and compare the error resiliency performance of RVLC codes, we develop an error resiliency measur... View full abstract»

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  • SNR scalability by coefficient refinement for hybrid video coding

    Publication Year: 2006, Page(s):88 - 91
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (184 KB) | HTML iconHTML

    A novel quality-scalable hybrid video coding scheme based on coefficient refinement and encoder quality constraints is developed. The technique, which also enables region-of-interest coding, is tested as a possible extension to the H.264 standard with excellent results. That is, the bit-rate increase typically encountered with scalable hybrid coding schemes is, for certain coding parameters, only ... View full abstract»

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  • Audio steganalysis with content-independent distortion measures

    Publication Year: 2006, Page(s):92 - 95
    Cited by:  Papers (24)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (144 KB) | HTML iconHTML

    We first propose a novel content-independent distortion measurement method and use this methodology for digital audio steganalysis. Content-independent distortion measures are utilized as features for the classifier (steganalyzer) design. Experimental results show that the removal of content dependency from features enhances their discriminatory power. View full abstract»

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  • Median-based clustering for underdetermined blind signal processing

    Publication Year: 2006, Page(s):96 - 99
    Cited by:  Papers (12)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (232 KB) | HTML iconHTML

    In underdetermined blind source separation, more sources are to be extracted from less observed mixtures without knowing both sources and mixing matrix. k-means-style clustering algorithms are commonly used to do this algorithmically given sufficiently sparse sources, but in any case other than deterministic sources, this lacks theoretical justification. After establishing that mean-based algorith... View full abstract»

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  • Subspace identification through blind source separation

    Publication Year: 2006, Page(s):100 - 103
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (208 KB) | HTML iconHTML

    Given a linear and instantaneous mixture model, we prove that for blind source separation (BSS) algorithms based on mutual information, only sources with non-Gaussian distribution are consistently reconstructed independent of initial conditions. This allows the identification of non-Gaussian sources and consequently the identification of signal and noise subspaces through BSS. The results are illu... View full abstract»

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  • Statistical aspects concerning signal coherence applied to randomly modulated periodic signals

    Publication Year: 2006, Page(s):104 - 107
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (160 KB) | HTML iconHTML

    The signal coherence (SC) function was developed for detecting signals that exhibit an inherent nondeterminism in their genesis. To allow the use of this technique as an objective response detector, the necessary statistical apparatus is developed in this letter. It is shown that SC is, in fact, a deterministic transformation of the magnitude-squared coherence (MSC) function, whose sampling distri... View full abstract»

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  • Nonintrusive speech quality estimation using Gaussian mixture models

    Publication Year: 2006, Page(s):108 - 111
    Cited by:  Papers (19)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (160 KB) | HTML iconHTML

    An algorithm for nonintrusive speech quality estimation based on Gaussian mixture models (GMMs) is presented. GMMs are used to form an artificial reference model of the behavior of features of undegraded speech. Consistency measures between the degraded speech signal and the reference model serve as indicators of speech quality. Consistency values are mapped to an objective speech quality score us... View full abstract»

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  • IEEE Signal Processing Letters Information for authors

    Publication Year: 2006, Page(s):112 - 113
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  • 2006 IEEE Workshop on Machine Learning for Signal Processing

    Publication Year: 2006, Page(s): 114
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  • IEEE Signal Processing Society 2006 International Workshop on Multimedia Signal Processing

    Publication Year: 2006, Page(s): 115
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  • Special issue on blind signal processing for speech and audio applications

    Publication Year: 2006, Page(s): 116
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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.

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Meet Our Editors

Editor-in-Chief
Peter Willett
University of Connecticut
Storrs, CT 06269
peter.willett@uconn.edu