By Topic

IEEE Signal Processing Letters

Issue 7 • Date July 2011

Filter Results

Displaying Results 1 - 19 of 19
  • [Front cover]

    Publication Year: 2011, Page(s): C1
    Request permission for commercial reuse | PDF file iconPDF (192 KB)
    Freely Available from IEEE
  • IEEE Signal Processing Letters publication information

    Publication Year: 2011, Page(s): C2
    Request permission for commercial reuse | PDF file iconPDF (37 KB)
    Freely Available from IEEE
  • Table of contents

    Publication Year: 2011, Page(s):389 - 390
    Request permission for commercial reuse | PDF file iconPDF (155 KB)
    Freely Available from IEEE
  • Backtracking-Based Matching Pursuit Method for Sparse Signal Reconstruction

    Publication Year: 2011, Page(s):391 - 394
    Cited by:  Papers (22)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (740 KB) | HTML iconHTML

    This letter presents a variant of Orthogonal Matching Pursuit (OMP) method, called Backtracking-based Adaptive OMP (BAOMP), for compressive sensing and sparse signal reconstruction. As an extension of the OMP algorithm, the BAOMP method incorporates a simple backtracking technique to detect the previous chosen atoms' reliability and then deletes the unreliable atoms at each iteration. Through this... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Bayesian Estimation With Imprecise Likelihoods: Random Set Approach

    Publication Year: 2011, Page(s):395 - 398
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (866 KB) | HTML iconHTML

    In many practical applications of statistical signal processing, the likelihood functions are only partially known. The measurement model in this case is affected by two sources of uncertainty: stochastic uncertainty and imprecision. Following the framework of random set theory , the paper presents the optimal Bayesian estimator for this problem. The resulting Bayes estimator in general has no ana... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Joint DOD and DOA Estimation for MIMO Array With Velocity Receive Sensors

    Publication Year: 2011, Page(s):399 - 402
    Cited by:  Papers (8)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (864 KB) | HTML iconHTML

    This letter investigates the problem of joint estimation of the direction of departure (DOD) and the direction of arrival (DOA) for multi-input multi-output (MIMO) array systems. A new bistatic MIMO array system, configured with multiple transmit sensors and multiple velocity receive sensors is introduced, and a new joint DOD and DOA estimation algorithm is proposed. The key idea behind the propos... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Tensor Versus Matrix Completion: A Comparison With Application to Spectral Data

    Publication Year: 2011, Page(s):403 - 406
    Cited by:  Papers (14)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1057 KB) | HTML iconHTML

    Tensor completion recently emerged as a generalization of matrix completion for higher order arrays. This problem formulation allows one to exploit the structure of data that intrinsically have multiple dimensions. In this work, we recall a convex formulation for minimum (multilinear) ranks completion of arrays of arbitrary order. Successively we focus on completion of partially observed spectral ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Standard Deviation for Obtaining the Optimal Direction in the Removal of Impulse Noise

    Publication Year: 2011, Page(s):407 - 410
    Cited by:  Papers (11)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3668 KB) | HTML iconHTML

    This letter proposes a new technique of restoring images distorted by random-valued impulse noise. The detection process is based on finding the optimum direction, by calculating the standard deviation in different directions in the filtering window. The tested pixel is deemed original if it is similar to the pixels in the optimum direction. Extensive simulations prove that the proposed technique ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Handoff Optimization Using Hidden Markov Model

    Publication Year: 2011, Page(s):411 - 414
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1086 KB) | HTML iconHTML

    This letter establishes the similarity between the sensor scheduling problem and the handoff (i.e., base station assignment) problem in cellular networks. A mobile user behavior is then modelled by a Hidden Markov Model (HMM). The handoff problem is formulated as an optimization problem of base station scheduling that minimizes a cost function that involves the HMM state estimation error and base ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • GMM-Based KLT-Domain Switched-Split Vector Quantization for LSF Coding

    Publication Year: 2011, Page(s):415 - 418
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (720 KB) | HTML iconHTML

    For quantization of line spectral frequency (LSF), Gaussian mixture model (GMM) based switched split vector quantization (SSVQ) has been reported as the best performing intra-frame coding method. However, GMM-SSVQ partly recovers correlations between the subvectors of split vector quantization (SVQ). In the proposed GMM-SSVQ with the Karhunen-Loève Transform (KLT), KLT-domain quantization ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Regularized Subspace Gaussian Mixture Models for Speech Recognition

    Publication Year: 2011, Page(s):419 - 422
    Cited by:  Papers (12)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (559 KB) | HTML iconHTML

    Subspace Gaussian mixture models (SGMMs) provide a compact representation of the Gaussian parameters in an acoustic model, but may still suffer from over-fitting with insufficient training data. In this letter, the SGMM state parameters are estimated using a penalized maximum-likelihood objective, based on l1 and l2 regularization, as well as their combination, referred to as... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Energy Detection Limits Under Log-Normal Approximated Noise Uncertainty

    Publication Year: 2011, Page(s):423 - 426
    Cited by:  Papers (9)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (992 KB) | HTML iconHTML

    We revisit, in this letter, the impact of noise uncertainty on the performance of the well known energy detector. Mainly, we reconsider the case of a Log-Normal approximated noise uncertainty suggested in the work of Alexander Sonnenschein and Philip M. Fishman. We show that under a Log-Normal noise uncertainty, closed form expressions of the detector's performances and limits can be provided. Thu... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Low-Complexity Channel-Estimate Based Adaptive Linear Equalizer

    Publication Year: 2011, Page(s):427 - 430
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1134 KB) | HTML iconHTML

    In this letter, we propose a low-complexity channel-estimate based adaptive linear equalizer. The equalizer exploits coordinate descent iterations for computation of equalizer coefficients. The proposed technique has as low complexity as operations per sample, where and are the equalizer and channel estimator length, respectively, and is the number of iterations such that and . Moreover, with dich... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Joint Subspace Learning for View-Invariant Gait Recognition

    Publication Year: 2011, Page(s):431 - 434
    Cited by:  Papers (13)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (701 KB) | HTML iconHTML

    We propose in this paper a novel joint subspace learning (JSL) method for view-invariant gait recognition. Inspired by the finding that if a 3-D object can be well represented by the weighted sum of a sufficiently small number of prototypes in the same view, then the representation coefficients are generally consistent across different views, we propose to use these coefficients as view-invariant ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Performance Bounds of Network Coding Aided Cooperative Multiuser Systems

    Publication Year: 2011, Page(s):435 - 438
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1304 KB) | HTML iconHTML

    In this contribution, we derive the upper and lower Frame Error Ratio (FER) performance bounds of cooperative multiuser communications systems using network coding. Our Monte Carlo simulation based results confirm the accuracy of our derivation. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Blank page

    Publication Year: 2011, Page(s):439 - 440
    Request permission for commercial reuse | PDF file iconPDF (6 KB)
    Freely Available from IEEE
  • IEEE Signal Processing Letters Information for authors

    Publication Year: 2011, Page(s):441 - 442
    Request permission for commercial reuse | PDF file iconPDF (142 KB)
    Freely Available from IEEE
  • IEEE Signal Processing Society Information

    Publication Year: 2011, Page(s): C3
    Request permission for commercial reuse | PDF file iconPDF (34 KB)
    Freely Available from IEEE
  • Blank page [back cover]

    Publication Year: 2011, Page(s): C4
    Request permission for commercial reuse | PDF file iconPDF (5 KB)
    Freely Available from IEEE

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