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IEEE Signal Processing Letters

Issue 1 • Jan. 2009

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Displaying Results 1 - 23 of 23
  • [Front cover]

    Publication Year: 2009, Page(s): C1
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  • IEEE Signal Processing Letters publication information

    Publication Year: 2009, Page(s): C2
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  • Table of contents

    Publication Year: 2009, Page(s):i - ii
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  • Message From the New Editor-In-Chief

    Publication Year: 2009, Page(s): 1
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  • Suppression of Residual Noise From Speech Signals Using Empirical Mode Decomposition

    Publication Year: 2009, Page(s):2 - 5
    Cited by:  Papers (18)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (168 KB) | HTML iconHTML

    This letter illustrates a novel and effective method for suppressing residual noise from enhanced speech signals as a second-stage post-filtering technique using empirical mode decomposition. The method significantly improves speech listening quality with simultaneous improvement of objective quality indices. The listening test results demonstrate the superiority of the proposed scheme compared to... View full abstract»

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  • Speech-Annotated Photo Retrieval Using Syllable-Transformed Patterns

    Publication Year: 2009, Page(s):6 - 9
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (233 KB) | HTML iconHTML

    This study presents a novel indexing and retrieval scheme for digital photos with speech annotations based on syllable-transformed image-like patterns. Speech recognition error and out-of-vocabulary (OOV) problems generally result in incorrect indexing and degrade the retrieval performance. In this study, the recognized n -best candidates used to deal with recognition error problems are tra... View full abstract»

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  • Graphical Models for Joint Segmentation and Recognition of License Plate Characters

    Publication Year: 2009, Page(s):10 - 13
    Cited by:  Papers (15)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (356 KB) | HTML iconHTML

    We formulate the issue of joint image segmentation and recognition as an integrated statistical inference problem. A two-layer graphical model is proposed that supports the optimal segmentation and recognition in an unified Bayesian framework. Due to the explicit modeling of two tasks in the graphical model, an efficient non-iterative belief propagation algorithm is used for state estimation. The ... View full abstract»

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  • Bandpass Sampling of One RF Signal Over Multiple RF Signals With Contiguous Spectrums

    Publication Year: 2009, Page(s):14 - 17
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (240 KB) | HTML iconHTML

    In this letter, we consider a case in which only one radio frequency (RF) signal is of interest over multiple RF signals with contiguous spectrums (i.e., these RF signals are adjacent to each other). The minimum valid bandpass sampling range for a desired RF signal over multiple ones is derived under the assumption of contiguous spectrums. The sampling frequency confined by the derived minimum val... View full abstract»

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  • Second-Order Volterra System Identification With Noisy Input–Output Measurements

    Publication Year: 2009, Page(s):18 - 21
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (196 KB) | HTML iconHTML

    System identification with noisy input-output measurements has been dominantly addressed through the optimization of the mean-squared-error criterion (MSE), especially in adaptive filtering. MSE is known to provide models that approximate the conditional expectation of the target output given the input; however, when the input signal is also contaminated by noise - a frequent occurrence - MSE yiel... View full abstract»

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  • A Robust Adaptive Dimension Reduction Technique With Application to Array Processing

    Publication Year: 2009, Page(s):22 - 25
    Cited by:  Papers (15)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (274 KB) | HTML iconHTML

    We develop a data-adaptive dimension reduction algorithm that is robust against out-of-sector sources in application to array processing. The dimension reduction is done as a linear transformation (matrix filter). The matrix filter is designed adaptively such that the signal power within a certain sector is preserved while the out-of-sector power is maximally rejected. The columns of the beamspace... View full abstract»

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  • Blind DFE With Maximum-Entropy Feedback

    Publication Year: 2009, Page(s):26 - 29
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (229 KB) | HTML iconHTML

    This letter proposes an entropy-gradient adaptive feedback filter specially derived for the blind decision feedback equalizer with a self-optimized configuration. Using software simulations, the parametric nonlinearity of the feedback filter is aligned through two operation modes-blind acquisition and soft transition-to respond with a maximum entropy signal. As a result, a simple stochastic gradie... View full abstract»

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  • Fast Algorithm for Modulated Complex Lapped Transform

    Publication Year: 2009, Page(s):30 - 33
    Cited by:  Papers (4)  |  Patents (8)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (136 KB) | HTML iconHTML

    A new algorithm for the modulated complex lapped transform (MCLT) with a sine windowing function is presented. It is shown that by merging the windowing operation with the main computation, both the real and the imaginary parts of the MCLT with 2N inputs can be obtained from two N-point discrete cosine transforms of type II (DCTs-II) of appropriate inputs. The resulting algorithm is ... View full abstract»

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  • A Novel LMS Algorithm Applied to Adaptive Noise Cancellation

    Publication Year: 2009, Page(s):34 - 37
    Cited by:  Papers (28)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (299 KB) | HTML iconHTML

    In this letter, we propose a novel least-mean-square (LMS) algorithm for filtering speech sounds in the adaptive noise cancellation (ANC) problem. It is based on the minimization of the squared Euclidean norm of the difference weight vector under a stability constraint defined over the a posteriori estimation error. To this purpose, the Lagrangian methodology has been used in order t... View full abstract»

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  • Almost Quadriphase Sequence With Ideal Autocorrelation Property

    Publication Year: 2009, Page(s):38 - 40
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (104 KB) | HTML iconHTML

    In this letter, a new class of almost quadriphase sequences with a single zero element of period N, where N=1( mod 4) a prime, is presented. The new sequences have ideal autocorrelation property. View full abstract»

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  • Least-Squares Contour Alignment

    Publication Year: 2009, Page(s):41 - 44
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (248 KB) | HTML iconHTML

    The contour alignment problem, considered in this letter, is to compute the minimal distance in a least-squares sense, between two explicitly represented contours, specified by corresponding points, after arbitrary rotation, scaling, and translation of one of the contours. This is a constrained nonlinear optimization problem with respect to the translation, rotation, and scaling parameters; howeve... View full abstract»

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  • JPEG2000 ROI Coding With Fine-Grain Accuracy Through Rate-Distortion Optimization Techniques

    Publication Year: 2009, Page(s):45 - 48
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (282 KB) | HTML iconHTML

    Region of interest (ROI) coding is a feature of prominent image coding systems that enables the specification of different coding priorities to certain regions of the image. JPEG2000 provides ROI coding through two mechanisms: either modifying wavelet coefficients or using rate-distortion optimization techniques. Although ROI coding methods based on the modification of wavelet coefficients provide... View full abstract»

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  • An SVM Kernel With GMM-Supervector Based on the Bhattacharyya Distance for Speaker Recognition

    Publication Year: 2009, Page(s):49 - 52
    Cited by:  Papers (33)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (228 KB) | HTML iconHTML

    Gaussian mixture model (GMM) and support vector machine (SVM) have become popular classifiers in text-independent speaker recognition. A GMM-supervector characterizes a speaker's voice with the parameters of GMM, which include mean vectors, covariance matrices, and mixture weights. GMM-supervector SVM benefits from both GMM and SVM frameworks to achieve the state-of-the-art performance. Convention... View full abstract»

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  • Frequency Domain Acoustic Echo Suppression Based on Soft Decision

    Publication Year: 2009, Page(s):53 - 56
    Cited by:  Papers (11)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (551 KB) | HTML iconHTML

    In this letter, we propose a novel acoustic echo suppression (AES) technique based on soft decision in a frequency domain. The proposed approach provides an efficient and unified framework for such procedures as AES gain computation, AES gain modification using soft decision, and estimation of relevant parameters based on the same statistical model assumption of the near-end and far-end signal ins... View full abstract»

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  • Global Soft Decision Employing Support Vector Machine For Speech Enhancement

    Publication Year: 2009, Page(s):57 - 60
    Cited by:  Papers (11)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (185 KB) | HTML iconHTML

    In this letter, we propose a novel speech enhancement technique based on global soft decision incorporating a support vector machine (SVM). Global soft decision in the proposed approach is performed employing the probabilistic outputs of the SVM rather than the conventional Bayes' rule. Actually, global speech absence probability (GSAP) is determined by the sigmoid function based on key parameters... View full abstract»

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  • IEEE Signal Processing Letters Information for authors

    Publication Year: 2009, Page(s):63 - 64
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  • Call for papers on Applications of Signal Processing to Audio and Acoustic

    Publication Year: 2009, Page(s): 65
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  • IEEE International Workshop on Information Forensics and Security (WIFS)

    Publication Year: 2009, Page(s): 66
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  • IEEE Signal Processing Society Information

    Publication Year: 2009, 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
James E. Fowler
Dept Electrical & Computer Engineering
Associate Director                         
Distributed Analytics and Security Institute
Mississippi State University
Mississippi State, MS 39762 USA
fowler@ece.msstate.edu