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IEEE Signal Processing Letters

Issue 9 • Date Sept. 2010

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Displaying Results 1 - 14 of 14
  • [Front cover]

    Publication Year: 2010, Page(s): C1
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  • IEEE Signal Processing Letters publication information

    Publication Year: 2010, Page(s): C2
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  • Table of contents

    Publication Year: 2010, Page(s):777 - 778
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  • Approximate SEP Analysis for DF Cooperative Networks With Opportunistic Relaying

    Publication Year: 2010, Page(s):779 - 782
    Cited by:  Papers (20)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (284 KB) | HTML iconHTML

    We analyze the symbol error probability (SEP) performance of cooperative diversity networks with opportunistic decode-and-forward (ODF) relaying. Assuming that channels suffer from independent nonidentical Rayleigh fading and symbols are M-PSK modulated, the approximate closed-form SEP expressions are derived for opportunistic relaying with adaptive and fixed DF protocols, respectively. Simulation... View full abstract»

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  • Comparison of Two Frame Rate Conversion Schemes for Reducing LCD Motion Blurs

    Publication Year: 2010, Page(s):783 - 786
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (467 KB) | HTML iconHTML

    Liquid crystal display (LCD) is known to have motion blur due to the slow response and sample-hold characteristics of the liquid crystal (LC). To alleviate the LCD motion blur, improving the LC response is the most fundamental solution. However, if the response time is shortened, then more frames are needed and hence frame rate up conversion (FRUC) should be used. In this paper, we study two FRUC ... View full abstract»

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  • Model Based Motion Vector Predictor for Zoom Motion

    Publication Year: 2010, Page(s):787 - 790
    Cited by:  Papers (13)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (180 KB) | HTML iconHTML

    As zoom motion is common in video applications, a linear motion model is derived to describe zoom motion based on the analyses of camera imaging principles. Based on the motion model, a motion vector predictor for videos involving zoom motion is proposed. A rate distortion (RD) criterion is used to choose the optimal motion vector predictor between the one utilized in H.264/AVC and the one derived... View full abstract»

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  • Adaptive Solution for Blind Equalization and Carrier-Phase Recovery of Square-QAM

    Publication Year: 2010, Page(s):791 - 794
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (608 KB) | HTML iconHTML

    In this letter, we adaptively optimize the equalizer output energy to obtain a joint blind equalization and carrier-phase recovery solution. The resulting (multimodulus) update algorithm possesses a particular zero-memory Bussgang-type nonlinearity. We provide evidence of good performance, in comparison to existing adaptive methods, like RCA, MMA and CMA, through computer simulations for higher-or... View full abstract»

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  • Parametric FIR Design of Propagation Loss Filters in Digital Waveguide String Models

    Publication Year: 2010, Page(s):795 - 798
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (279 KB) | HTML iconHTML Multimedia Media

    One of the attractive features of sound synthesis by physical modeling is the potential to build acoustic-sounding digital instruments that offer more flexibility and different options in its design and control than their real-life counterparts. In order to develop such virtual-acoustic instruments, the models they are based on need to be fully parametric, i.e., all coefficients employed in the mo... View full abstract»

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  • Blind Source Separation by Fully Nonnegative Constrained Iterative Volume Maximization

    Publication Year: 2010, Page(s):799 - 802
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (796 KB) | HTML iconHTML

    Blind source separation (BSS) has been widely discussed in many real applications. Recently, under the assumption that both of the sources and the mixing matrix are nonnegative, Wang develop an amazing BSS method by using volume maximization. However, the algorithm that they have proposed can guarantee the nonnegativities of the sources only, but cannot obtain a nonnegative mixing matrix necessari... View full abstract»

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  • Locally Affine Invariant Descriptors for Shape Matching and Retrieval

    Publication Year: 2010, Page(s):803 - 806
    Cited by:  Papers (20)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (233 KB) | HTML iconHTML

    This work proposes novel locally affine invariant descriptors for shape representation. The descriptors are theoretically simple and solid, derived from the matrix theories. They can be used for matching and retrieval of shapes under affine transformation, articulated motion or nonrigid deformation. Comparisons of the work with the state-of-the-art shape descriptors are performed based on syntheti... View full abstract»

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  • Sigma Set Based Implicit Online Learning for Object Tracking

    Publication Year: 2010, Page(s):807 - 810
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (312 KB) | HTML iconHTML

    This letter presents a novel object tracking approach within the Bayesian inference framework through implicit online learning. In our approach, the target is represented by multiple patches, each of which is encoded by a powerful and efficient region descriptor called Sigma set. To model each target patch, we propose to utilize the online one-class support vector machine algorithm, named Implicit... View full abstract»

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  • Minimax Robust Optimal Estimation Fusion in Distributed Multisensor Systems With Uncertainties

    Publication Year: 2010, Page(s):811 - 814
    Cited by:  Papers (11)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (140 KB) | HTML iconHTML

    In this paper, the robust estimation fusion problem in multisensor systems with norm-bounded uncertainties concerning the error covariance matrix between local estimates is addressed. A robust fusion method by minimizing the worst-case fused mean-squared error (MSE) for all feasible error covariance matrices of local estimates is proposed. The minimax robust fusion weighting matrices can be explic... View full abstract»

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  • IEEE Signal Processing Letters Information for authors

    Publication Year: 2010, Page(s):815 - 816
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  • IEEE Signal Processing Society Information

    Publication Year: 2010, 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