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Signal Processing Letters, IEEE

Issue 1 • Date Jan. 2012

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Displaying Results 1 - 21 of 21
  • [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): 1 - 2
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  • A few words from the new Editor-in-Chief

    Publication Year: 2012 , Page(s): 3
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  • Performance Enhancement of Subspace Detection With a Diversely Polarized Antenna

    Publication Year: 2012 , Page(s): 4 - 7
    Cited by:  Papers (4)
    Request Permissions | Click to expandAbstract | PDF file iconPDF (1017 KB) |  | HTML iconHTML  

    Based on a diversely polarized antenna, we address the problems of adaptive detection and performance enhancement in partially homogeneous environments where the test and training data samples share the same noise covariance matrix up to an unknown scaling factor. The matched subspace detector and adaptive subspace detector are employed to handle the detection problem for the cases of known and un... View full abstract»

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  • On the Use of Unit-Norm Tight Frames to Improve the Average MSE Performance in Compressive Sensing Applications

    Publication Year: 2012 , Page(s): 8 - 11
    Cited by:  Papers (10)
    Request Permissions | Click to expandAbstract | PDF file iconPDF (800 KB) |  | HTML iconHTML  

    This letter considers the design of sensing matrices with good expected-case performance for compressive sensing applications. By capitalizing on the mean squared error (MSE) of the oracle estimator, whose performance has been shown to act as a benchmark to the performance of standard sparse recovery algorithms, we demonstrate that a unit-norm tight frame is the closest design-in the Frobenius nor... View full abstract»

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  • Reference Estimation in EEG: Analysis of Equivalent Approaches

    Publication Year: 2012 , Page(s): 12 - 15
    Cited by:  Papers (1)
    Request Permissions | Click to expandAbstract | PDF file iconPDF (632 KB) |  | HTML iconHTML  

    This letter demonstrates the theoretical equivalence between the different ICA/beamforming based solutions proposed in the literature for the reference-estimation problem in electroencephalographic (EEG) recordings . By reference, we understand an unknown, non-null, time-varying potential, measured at the reference electrode situated sufficiently distant from the measuring electrodes. Despite the ... View full abstract»

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  • Beamforming Amplify-and-Forward Relay Networks With Feedback Delay and Interference

    Publication Year: 2012 , Page(s): 16 - 19
    Cited by:  Papers (14)
    Request Permissions | Click to expandAbstract | PDF file iconPDF (1166 KB) |  | HTML iconHTML  

    In this letter, we investigate the effect of feedback delay on the performance of a dual-hop amplify-and-forward (AF) relay network with beamforming in the presence of multiple interferers over Rayleigh fading channels. Specifically, we derive closed-form expressions for the outage probability (OP) and the symbol error rate (SER). Furthermore, to render insights into the effect of feedback delay a... View full abstract»

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  • Stability Analysis and Power Optimization for Energy Harvesting Cooperative Networks

    Publication Year: 2012 , Page(s): 20 - 23
    Cited by:  Papers (19)
    Request Permissions | Click to expandAbstract | PDF file iconPDF (719 KB) |  | HTML iconHTML  

    In this letter, we investigate the effects of network-layer cooperation in a wireless three-node network with energy-harvesting nodes and bursty data traffic. By modelling energy harvesting in each node as a queue (buffer) that stores the received energy, we study the interaction between data and energy queues when only knowledge of the arrival rates is available. The maximum stable throughput (in... View full abstract»

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  • Efficient Implementation of the Affine Projection Sign Algorithm

    Publication Year: 2012 , Page(s): 24 - 26
    Cited by:  Papers (1)
    Request Permissions | Click to expandAbstract | PDF file iconPDF (555 KB) |  | HTML iconHTML  

    -norm optimization-based sign algorithms (SAs) are more robust against impulsive interference than -norm optimization-based adaptive filtering algorithms. However, most SAs suffer from slow convergence rate, especially for highly correlated input signals. In order to overcome this problem, recently, an affine projection SA (APSA) has been proposed , which exhibits fast convergence rate. In this le... View full abstract»

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  • On the Equivalence of Hanning-Weighted and Overlapped Analysis Windows Using Different Window Sizes

    Publication Year: 2012 , Page(s): 27 - 30
    Cited by:  Papers (1)  |  Patents (1)
    Request Permissions | Click to expandAbstract | PDF file iconPDF (740 KB) |  | HTML iconHTML  

    This letter is concerned with time-series analysis using overlapped processing windows shaded using the Hanning window function, such as is used in short-time Fourier transform (STFT) analysis. We present a special case where different analysis window sizes produce equivalent outputs where equivalence is defined by the existence of an orthonormal linear transformation relating the two analyses. We... View full abstract»

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  • Diffuse Imaging: Creating Optical Images With Unfocused Time-Resolved Illumination and Sensing

    Publication Year: 2012 , Page(s): 31 - 34
    Request Permissions | Click to expandAbstract | PDF file iconPDF (1175 KB) |  | HTML iconHTML  

    Conventional imaging uses steady-state illumination and light sensing with focusing optics; variations of the light field with time are not exploited. We develop a signal processing framework for estimating the reflectance of a Lambertian planar surface in a known position using omnidirectional, time-varying illumination and unfocused, time-resolved sensing in place of traditional optical elements... View full abstract»

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  • Video Steganalysis Exploiting Motion Vector Reversion-Based Features

    Publication Year: 2012 , Page(s): 35 - 38
    Cited by:  Papers (7)
    Request Permissions | Click to expandAbstract | PDF file iconPDF (695 KB) |  | HTML iconHTML  

    Unlike traditional image or video steganography in spatial/transform domain, motion vector (MV)-based methods target the internal dynamics of video compression and embed messages while performing motion estimation. However, we have noticed that some existing methods adopt nonoptimal selection rules and modify MVs in somewhat arbitrary manners which violate the encoding principles a lot. Aiming at ... View full abstract»

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  • Compressed Sensing With Nonlinear Analog Mapping in a Noisy Environment

    Publication Year: 2012 , Page(s): 39 - 42
    Request Permissions | Click to expandAbstract | PDF file iconPDF (727 KB) |  | HTML iconHTML  

    We propose a low delay and low complexity sensor system based on the combination of Shannon-Kotel'nikov mapping and compressed sensing (CS). The proposed system uses nonlinear analog mappings on the CS measurements to increase their immunity against channel noise. Numerical results show that the proposed purely-analog system outperforms the state-of-the-art purely CS systems in terms of signal-to-... View full abstract»

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  • Beamspace-Domain Multichannel Nonnegative Matrix Factorization for Audio Source Separation

    Publication Year: 2012 , Page(s): 43 - 46
    Request Permissions | Click to expandAbstract | PDF file iconPDF (884 KB) |  | HTML iconHTML  

    In this letter, we develop a multichannel blind source separation algorithm based on a beamspace transform and the multichannel nonnegative matrix factorization (NMF) method. The conventional multichannel NMF algorithm performs well with multichannel mixing data, but there is still room for enhancement in multichannel real-world recording data. In this letter, we consider a beamspace-time-frequenc... View full abstract»

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  • On Phase Transition of Compressed Sensing in the Complex Domain

    Publication Year: 2012 , Page(s): 47 - 50
    Cited by:  Papers (8)
    Request Permissions | Click to expandAbstract | PDF file iconPDF (769 KB) |  | HTML iconHTML  

    The phase transition is a performance measure of the sparsity-undersampling tradeoff in compressed sensing (CS). This letter reports our first observation and evaluation of an empirical phase transition of the l1 minimization approach to the complex valued CS (CVCS), which is positioned well above the known phase transition of the real valued CS in the phase plane. This result ca... View full abstract»

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  • Sparse 2-D Canonical Correlation Analysis via Low Rank Matrix Approximation for Feature Extraction

    Publication Year: 2012 , Page(s): 51 - 54
    Request Permissions | Click to expandAbstract | PDF file iconPDF (901 KB) |  | HTML iconHTML  

    Although 2-D canonical correlation analysis (2DCCA) has been proposed to reduce the computational complexity while reserving local data structure of image, the learned canonical variables of 2DCCA are the linear combination of all the original variables, which makes it hard to interpret the solutions and might have less generality. In this paper, we propose a sparse 2-D canonical correlation analy... View full abstract»

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  • Optimal Distributed Kalman Filtering Fusion Algorithm Without Invertibility of Estimation Error and Sensor Noise Covariances

    Publication Year: 2012 , Page(s): 55 - 58
    Cited by:  Papers (6)
    Request Permissions | Click to expandAbstract | PDF file iconPDF (1083 KB) |  | HTML iconHTML  

    Although the globally optimal distributed Kalman filtering fusion has been proposed and studied for more than twenty years, the invertibility of estimation error and measurement noise covariances has been always a restrictive assumption to derive a globally optimal distributed Kalman filtering fusion equivalent to the centralized Kalman filtering fusion. This letter proposes an optimal distributed... View full abstract»

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  • [Blank page]

    Publication Year: 2012 , Page(s): 59 - 60
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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