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IEEE Signal Processing Letters

Issue 9 • Date Sept. 2013

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Displaying Results 1 - 25 of 28
  • [Front cover]

    Publication Year: 2013, Page(s): C1
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  • IEEE Signal Processing Letters publication information

    Publication Year: 2013, Page(s): C2
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  • Table of contents

    Publication Year: 2013, Page(s):837 - 838
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  • Table of contents

    Publication Year: 2013, Page(s):839 - 840
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  • Fast \ell ^{0} -Regularized Kernel Estimation for Robust Motion Deblurring

    Publication Year: 2013, Page(s):841 - 844
    Cited by:  Papers (9)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (770 KB) | HTML iconHTML

    Blind image deblurring is a challenging problem in computer vision and image processing. In this paper, we propose a new l0-regularized approach to estimate a blur kernel from a single blurred image by regularizing the sparsity property of natural images. Furthermore, by introducing an adaptive structure map in the deblurring process, our method is able to restore useful salient ... View full abstract»

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  • Estimating Visual Saliency Through Single Image Optimization

    Publication Year: 2013, Page(s):845 - 848
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (771 KB) | HTML iconHTML

    This letter presents a novel approach for visual saliency estimation through single image optimization. Instead of directly mapping visual features to saliency values with a unified model, we treat regional saliency values as the optimization objective on each single image. By using a quadratic programming framework, our approach can adaptively optimize the regional saliency values on each specifi... View full abstract»

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  • Interval-Passing Algorithm for Chemical Mixture Estimation

    Publication Year: 2013, Page(s):849 - 852
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (590 KB) | HTML iconHTML

    In this letter, we propose a compressive sensing scheme for the mixture estimation problem in spectroscopy. We show that by applying an appropriate measurement matrix on the chemical mixture spectrum, we obtain an overall measurement matrix which is sparse. This enables the use of a low-complexity iterative reconstruction algorithm, called the interval-passing algorithm, to estimate the concentrat... View full abstract»

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  • Pixel to Patch Sampling Structure and Local Neighboring Intensity Relationship Patterns for Texture Classification

    Publication Year: 2013, Page(s):853 - 856
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (621 KB) | HTML iconHTML

    In this letter, we explore local image descriptors for texture classification. We mainly propose two novel contributions: an effective sampling structure based on Pixel To Patch (PTP) to mimic the retinal sampling pattern; and a novel Local Neighboring Intensity Relationship Pattern (LNIRP) descriptor to extract texture feature by exploring neighboring gray-scale properties. The LNIRP descriptor i... View full abstract»

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  • Extracting Colored Noise Statistics in Time Series via Negentropy

    Publication Year: 2013, Page(s):857 - 860
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (838 KB) | HTML iconHTML

    In the analysis of some specific time series (e.g., Global Positioning System coordinate time series, chaotic time series, human brain imaging), the noise is generally modeled as a sum of a power-law noise and white noise. Some existing softwares estimate the amplitude of the noise components using convex optimization (e.g., Levenberg-Marquadt) applied to a log-likelihood cost function. This work ... View full abstract»

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  • One-Bit Decentralized Detection With a Rao Test for Multisensor Fusion

    Publication Year: 2013, Page(s):861 - 864
    Cited by:  Papers (9)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1209 KB) | HTML iconHTML

    In this letter, we propose the Rao test as a simpler alternative to the generalized likelihood ratio test (GLRT) for multisensor fusion. We consider sensors observing an unknown deterministic parameter with symmetric and unimodal noise. A decision fusion center (DFC) receives quantized sensor observations through error-prone binary symmetric channels and makes a global decision. We analyze the opt... View full abstract»

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  • Utilization of Noise-Only Samples in Array Processing With Prior Knowledge

    Publication Year: 2013, Page(s):865 - 868
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1242 KB) | HTML iconHTML

    For array processing, we consider the problem of estimating signals of interest, and their directions of arrival (DOA), in unknown colored noise fields. We develop an estimator that efficiently utilizes a set of noise-only samples and, further, can incorporate prior knowledge of the DOAs with varying degrees of certainty. The estimator is compared with state of the art estimators that utilize nois... View full abstract»

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  • New Insights Into Optimal Acoustic Feedback Cancellation

    Publication Year: 2013, Page(s):869 - 872
    Cited by:  Papers (8)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1042 KB) | HTML iconHTML

    In this letter, we present new insights into the bias problem for acoustic feedback cancellation when a probe signal approach is used. The optimum solution of the feedback canceler is not the feedback path but the product of the feedback path and the sensitivity function and hence, the solution is biased. The novelty of this paper also consists of the derivation of the conditions for unbiased feed... View full abstract»

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  • Location-Specific Coverage in Heterogeneous Networks

    Publication Year: 2013, Page(s):873 - 876
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1134 KB) | HTML iconHTML

    Cellular networks are taking on a more heterogeneous character with the introduction of low power nodes. Besides the aggregate performance over the entire network, it is also of interest to evaluate the coverage probability conditioning on a specific user location in a cell. This letter proposes a method to compute the location-specific coverage probability inside the inscribing ball of a weighted... View full abstract»

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  • A Generalized Theorem on the Average Array Directivity Factor

    Publication Year: 2013, Page(s):877 - 880
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (659 KB) | HTML iconHTML

    The beampattern of an array consisting of N elements is determined by the beampatterns of the individual elements, their placement, and the weights assigned to them. For each look direction, it is possible to design weights that maximize the array directivity factor (DF). For the case of an array of omnidirectional ele... View full abstract»

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  • Tuning Parameter Selection for Underdetermined Reduced-Rank Regression

    Publication Year: 2013, Page(s):881 - 884
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1140 KB) | HTML iconHTML

    Multivariate regression is one of the most widely applied multivariate statistical methods with many uses across a range of disciplines. But the number of parameters increases exponentially with dimension and reduced-rank regression (RRR) is a well known approach to dimension reduction. But traditional RRR applies only to an overdetermined system. For increasingly common undetermined systems this ... View full abstract»

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  • Spectrum Combining for ENF Signal Estimation

    Publication Year: 2013, Page(s):885 - 888
    Cited by:  Papers (13)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (751 KB) | HTML iconHTML

    The Electric Network Frequency (ENF) is the supply frequency of power distribution networks, and is often captured by audio or video measurements recorded near power supplies. The time varying nature of the ENF allows it to be used for such forensic applications as estimating the time and location of media recordings, and discerning their integrity. An initial step in such applications is to extra... View full abstract»

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  • An Improved Auto-Calibration Algorithm Based on Sparse Bayesian Learning Framework

    Publication Year: 2013, Page(s):889 - 892
    Cited by:  Papers (18)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (936 KB) | HTML iconHTML

    This letter considers the multiplicative perturbation problem in compressive sensing, which has become an increasingly important issue on obtaining robust performance for practical applications. The problem is formulated in a probabilistic model and an auto-calibration sparse Bayesian learning algorithm is proposed. In this algorithm, signal and perturbation are iteratively estimated to achieve sp... View full abstract»

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  • A Novel DCT-Based JND Model for Luminance Adaptation Effect in DCT Frequency

    Publication Year: 2013, Page(s):893 - 896
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1176 KB) | HTML iconHTML

    Many conventional DCT based Just Noticeable Distortion (JND) models incorporate luminance adaptation (LA) effect of the human visual system (HVS). The conventional LA-JND models exploit only background luminance to estimate JND values. In this letter, we reveal that the LA effect of HVS depends not only on background luminance but also on frequency in DCT domain. In addition, we first propose a no... View full abstract»

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  • A Study on Visible to Infrared Action Recognition

    Publication Year: 2013, Page(s):897 - 900
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1009 KB) | HTML iconHTML

    Human action recognition is important in image and video processing with many applications. With the development of sensor technology, different cameras can be used for action acquisition, e.g., infrared cameras. Is it possible to adapt the visible light action recognizers to a new modality or domain? In this paper, we study the feasibility to adapt the action recognizer learned from visible light... View full abstract»

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  • Using Polynomial Kernel Support Vector Machines for Speaker Verification

    Publication Year: 2013, Page(s):901 - 904
    Cited by:  Papers (9)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (572 KB) | HTML iconHTML

    In this letter, we propose a discriminative modeling approach for the speaker verification problem that uses polynomial kernel support vector machines (PK-SVMs). The proposed approach is rooted in an equivalence relationship between the state-of-the-art probabilistic linear discriminant analysis (PLDA) and second degree polynomial kernel methods. We present two techniques for overcoming the memory... View full abstract»

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  • Rotation Invariant Texture Descriptor Using Local Shearlet-Based Energy Histograms

    Publication Year: 2013, Page(s):905 - 908
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (617 KB) | HTML iconHTML

    This letter presents a rotation invariant descriptor based on the shearlet transform for texture classification. In the presented method, texture images are first decomposed by the shearlet transform, followed by construction of local energy features. Afterwards, the local energy features are quantized and encoded to be rotation invariant. The energy histograms accumulated over all decomposition l... View full abstract»

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  • Robust and Fast Localization of Single Speech Source Using a Planar Array

    Publication Year: 2013, Page(s):909 - 912
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (598 KB) | HTML iconHTML

    Heavy computational load and acoustic interferences are two major problems to speech source localization in real applications. Conventional methods can mitigate one problem, but deteriorate the other. This letter proposes an algorithm of direction-of-arrival (DOA) estimation, which is both computationally efficient and robust in the presence of acoustic interferences. The robustness is considered ... View full abstract»

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  • Analysis and Further Improvement of Fine Resolution Frequency Estimation Method From Three DFT Samples

    Publication Year: 2013, Page(s):913 - 916
    Cited by:  Papers (18)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1229 KB) | HTML iconHTML

    The bias and mean square error (MSE) analysis of the frequency estimator suggested in is given and an improved version of the estimator, with the removal of estimator bias, is suggested. The signal-to-noise ratio (SNR) threshold above which the bias removal is effective is also determined. View full abstract»

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  • IEEE Signal Processing Letters information for authors

    Publication Year: 2013, Page(s):917 - 918
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  • IEEE Signal Processing Letters EDICS

    Publication Year: 2013, Page(s): 919
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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