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IEEE Signal Processing Letters

Issue 2 • Date Feb. 2012

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Displaying Results 1 - 20 of 20
  • [Front cover]

    Publication Year: 2012, Page(s): C1
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  • IEEE Signal Processing Letters publication information

    Publication Year: 2012, Page(s): C2
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  • Table of contents

    Publication Year: 2012, Page(s):61 - 62
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  • Video Super-Resolution Using Generalized Gaussian Markov Random Fields

    Publication Year: 2012, Page(s):63 - 66
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (717 KB) | HTML iconHTML

    In this letter, we present the first application of the Generalized Gaussian Markov Random Field (GGMRF) to the problem of video super-resolution. The GGMRF prior is employed to perform a maximum a posteriori (MAP) estimation of the desired high-resolution image. Compared with traditional prior models, the GGMRF can describe the distribution of the high-resolution image much better and can also pr... View full abstract»

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  • Reducing Aliasing from Synthetic Audio Signals Using Polynomial Transition Regions

    Publication Year: 2012, Page(s):67 - 70
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (664 KB) | HTML iconHTML

    Sampling of discontinuous audio signals with rich spectra is a valuable asset in subtractive synthesis, but results in aliasing distortion. This letter proposes an aliasing-reduction technique, which is cost-effective, transient-free, and extensible to various discontinuities. It replaces the samples on a finite region around each discontinuity with values taken from a smooth polynomial, based on ... View full abstract»

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  • Outage Probability Based Power Distribution Between Data and Artificial Noise for Physical Layer Security

    Publication Year: 2012, Page(s):71 - 74
    Cited by:  Papers (41)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (856 KB) | HTML iconHTML

    In this letter, we address physical layer security in MISO communications in the presence of passive eavesdroppers, i.e., the eavesdroppers' channels are unknown to the transmitter. Spatial beamforming and artificial noise broadcasting are chosen as the strategy for secure transmission. With the aim of guaranteeing a given probability of secrecy, defined by quality of service constraints at the in... View full abstract»

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  • Blind Image Quality Assessment Without Human Training Using Latent Quality Factors

    Publication Year: 2012, Page(s):75 - 78
    Cited by:  Papers (28)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (520 KB) | HTML iconHTML

    We propose a highly unsupervised, training free, no reference image quality assessment (IQA) model that is based on the hypothesis that distorted images have certain latent characteristics that differ from those of “natural” or “pristine” images. These latent characteristics are uncovered by applying a “topic model” to visual words extracted from an assort... View full abstract»

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  • Fast Candidate Points Selection in the LASSO Path

    Publication Year: 2012, Page(s):79 - 82
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (810 KB) | HTML iconHTML

    The LASSO sparse regression method has recently received attention in a variety of applications from image compression techniques to parameter estimation problems. This paper addresses the problem of regularization parameter selection in this method in a general case of complex-valued regressors and bases. Generally, this parameter controls the degree of sparsity or equivalently, the estimated mod... View full abstract»

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  • A Novel Multiple Sparse Source Localization Using Triangular Pyramid Microphone Array

    Publication Year: 2012, Page(s):83 - 86
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (802 KB) | HTML iconHTML

    Making use of the time-frequency spectra sparsity of the speech sources and the spatial and inter-relation information provided from a triangular pyramid microphone array (TPMA), the ratio of the inter-sensor phase difference (RIPD) is defined and a direct relationship between RIPD information and the direction of arrival (DOA) of each source is obtained. A novel multiple speech source localizatio... View full abstract»

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  • An Adaptive Derivative Free Method for Bayesian Posterior Approximation

    Publication Year: 2012, Page(s):87 - 90
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (805 KB) | HTML iconHTML

    In the Gaussian mixture approach a Bayesian posterior probability distribution function is approximated using a weighted sum of Gaussians. This work presents a novel method for generating a Gaussian mixture by splitting the prior taking the direction of maximum nonlinearity into account. The proposed method is computationally feasible and does not require analytical differentiation. Tests show tha... View full abstract»

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  • Multivariate Multiscale Entropy Analysis

    Publication Year: 2012, Page(s):91 - 94
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (745 KB) | HTML iconHTML

    Multivariate physical and biological recordings are common and their simultaneous analysis is a prerequisite for the understanding of the complexity of underlying signal generating mechanisms. Traditional entropy measures are maximized for random processes and fail to quantify inherent long-range dependencies in real world data, a key feature of complex systems. The recently introduced multiscale ... View full abstract»

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  • Tensor Discriminant Analysis With Multiscale Features for Action Modeling and Categorization

    Publication Year: 2012, Page(s):95 - 98
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (934 KB) | HTML iconHTML

    This letter addresses the problem of analyzing spatio-temporal patterns for action recognition. In this letter we organize the whole training set in a single tensor, with each mode indicating one factor which influences the result of recognition, e.g., various view points. A novel method is proposed for tensor decomposition by discriminant analysis of multiscale features which represent the motion... View full abstract»

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  • Cepstrum Prefiltering for Binaural Source Localization in Reverberant Environments

    Publication Year: 2012, Page(s):99 - 102
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2505 KB) | HTML iconHTML

    Binaural sound source localization can be performed by imitation of the fundamental mechanisms of the human auditory system, which is based on the integrated effects of ear, pinnae, head and torso. In particular, two physical cues can be exploited, i.e. the Interaural Time Difference (ITD) and the Interaural Level Difference (ILD). It is known that joint use of ITD and ILD provides good source azi... View full abstract»

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  • Solving Ill-Posed Linear Systems With Constraints on Statistical Moments

    Publication Year: 2012, Page(s):103 - 106
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (774 KB) | HTML iconHTML

    Abstract-The problem of finding a solution to an ill-posed linear problem Ax = b, with specific statistical properties is addressed, constraining the statistical moments of the N elements in x up to a given order d. It is reformulated as a higher dimension minimization problem with Nd variables, whose objective function is the composition of a convex function and a projection. Although convergence... View full abstract»

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  • Blind Source Separation With Compressively Sensed Linear Mixtures

    Publication Year: 2012, Page(s):107 - 110
    Cited by:  Papers (8)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (865 KB) | HTML iconHTML

    This work studies the problem of simultaneously separating and reconstructing signals from compressively sensed linear mixtures. We assume that all source signals share a common sparse representation basis. The approach combines classical Compressive Sensing (CS) theory with a linear mixing model. It allows the mixtures to be sampled independently of each other. If samples are acquired in the time... View full abstract»

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  • Unified Training of Feature Extractor and HMM Classifier for Speech Recognition

    Publication Year: 2012, Page(s):111 - 114
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (783 KB) | HTML iconHTML

    We present a new unified training scheme using a feature extractor and HMM classifiers for better speech recognition performance. Both feature extractor and classifier are trained simultaneously to minimize classification error. Multiframe features are extracted using spectro-temporal dynamics and the feature extractor is implemented as a multilayer network, which is trained by a backpropagation (... View full abstract»

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  • A Low Complexity Iterative Algorithm for Joint Zero Diagonalization

    Publication Year: 2012, Page(s):115 - 118
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (871 KB) | HTML iconHTML

    In this letter, we introduce a fast and computationally efficient iterative algorithm for joint zero diagonalization of a set of complex-valued target matrices. The proposed algorithm is actually a low complexity version of FJZD algorithm, it has a computational complexity of O(K N2), where K and N are the number and dimension of the target matrices respectively. Moreover,... View full abstract»

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  • [Blank page]

    Publication Year: 2012, Page(s):119 - 120
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  • IEEE Signal Processing Society Information

    Publication Year: 2012, Page(s): C3
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  • [Blank page - back cover]

    Publication Year: 2012, 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