IEEE Signal Processing Letters

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• [Front cover]

Publication Year: 2011, Page(s): C1
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• IEEE Signal Processing Letters publication information

Publication Year: 2011, Page(s): C2
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Publication Year: 2011, Page(s):441 - 442
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• Power Spectrum Blind Sampling

Publication Year: 2011, Page(s):443 - 446
Cited by:  Papers (31)
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Power spectrum blind sampling (PSBS) consists of a sampling procedure and a reconstruction method that is capable of perfectly reconstructing the unknown power spectrum of a signal from the obtained samples. In this letter, we propose a solution to the PSBS problem based on a periodic sampling procedure and a simple least squares (LS) reconstruction method. For this PSBS technique, we derive the l... View full abstract»

• Complexity Reduced Face Detection Using Probability-Based Face Mask Prefiltering and Pixel-Based Hierarchical-Feature Adaboosting

Publication Year: 2011, Page(s):447 - 450
Cited by:  Papers (11)
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The Adaboosting has attracted attention for its efficient face-detection performance. However, in the training process, the large number of possible Haar-like features in a standard sub-window becomes time consuming, which makes specific environment feature adaptation extremely difficult. This letter presents a two-stage hybrid face detection scheme using Probability-based Face Mask Pre-Filtering ... View full abstract»

• Solvability of the Zero-Pinning Technique to Orthonormal Wavelet Design

Publication Year: 2011, Page(s):451 - 453
Cited by:  Papers (1)
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A zero-pinning technique for orthonormal wavelet design proposed by Tay results in a system of linear equations. We first prove the existence and uniqueness to the solution of the linear system. For orthonormal wavelet filters, non-negativity is known to be a necessary condition. However, it is not sufficient. A tau-cycle condition is cited as one in verifying a wavelet filter being orthonormal. F... View full abstract»

• Performance Analysis of Dual-Hop AF Systems With Interference in Nakagami-$m$ Fading Channels

Publication Year: 2011, Page(s):454 - 457
Cited by:  Papers (66)
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In this letter, we investigate the performance of dual-hop channel state information-assisted amplify-and-forward relaying systems over Nakagami-m fading channels in the presence of multiple interferers at the relay. Assuming integer fading parameter m, we derive closed-form expressions for the exact outage probability and accurate approximation for symbol error rate of the system. F... View full abstract»

• Improving Detection of Acoustic Signals by Means of a Time and Frequency Multiple Energy Detector

Publication Year: 2011, Page(s):458 - 461
Cited by:  Papers (3)
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Standard energy detectors (ED) are optimum to detect unknown signals in presence of uncorrelated Gaussian noise. However, in real applications the signal duration and bandwidth are unpredictable and this fact can considerably degrade the detection performance if the appropriate observation vector length is not correctly selected. Therefore, a multiple energy detector (MED) structure is applied in ... View full abstract»

• Illumination Normalization Based on Weber's Law With Application to Face Recognition

Publication Year: 2011, Page(s):462 - 465
Cited by:  Papers (90)  |  Patents (2)
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Weber's law suggests that for a stimulus, the ratio between the smallest perceptual change and the background is a constant, which implies stimuli are perceived not in absolute terms but in relative terms. Inspired from this, we exploit and analyze a novel illumination insensitive representation of face images under varying illuminations via a ratio image, called “Weber-face,” where ... View full abstract»

• Efficient Multiple Kernel Support Vector Machine Based Voice Activity Detection

Publication Year: 2011, Page(s):466 - 469
Cited by:  Papers (27)
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In this letter, we propose a multiple kernel support vector machine (MK-SVM) method for multiple feature based VAD. To make the MK-SVM based VAD practical, we adapt the multiple kernel learning (MKL) thought to an efficient cutting-plane structural SVM solver. We further discuss the performances of the MK-SVM with two different optimization objectives, in terms of minimum classification errors (MC... View full abstract»

• RLS Algorithm With Convex Regularization

Publication Year: 2011, Page(s):470 - 473
Cited by:  Papers (43)
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In this letter, the RLS adaptive algorithm is considered in the system identification setting. The RLS algorithm is regularized using a general convex function of the system impulse response estimate. The normal equations corresponding to the convex regularized cost function are derived, and a recursive algorithm for the update of the tap estimates is established. We also introduce a closed-form e... View full abstract»

• Fast Maximum Likelihood Scale Parameter Estimation From Histogram Measurements

Publication Year: 2011, Page(s):474 - 477
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In this letter, we address the problem of estimating a parameter acting as a scale factor on the observations probability density function (pdf), i.e. a scale parameter. Histogram based Maximum Likelihood (ML) estimation of a scale parameter requires the evaluation of a discrete scale correlation. We show how ML estimation can be implemented by means of a computationally efficient Discrete Fourier... View full abstract»

• Noise Folding in Compressed Sensing

Publication Year: 2011, Page(s):478 - 481
Cited by:  Papers (66)
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The literature on compressed sensing has focused almost entirely on settings where the signal is noiseless and the measurements are contaminated by noise. In practice, however, the signal itself is often subject to random noise prior to measurement. We briefly study this setting and show that, for the vast majority of measurement schemes employed in compressed sensing, the two models are equivalen... View full abstract»

• Elastic-Transform Based Multiclass Gaussianization

Publication Year: 2011, Page(s):482 - 485
Cited by:  Papers (1)
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The concept of “Gaussianization” implies a transformation aimed at changing the distribution of the input random variable to Gaussian. It has been used until now as a means to achieve independence among components in multivariate distributions that in turn was used as a tool for various purposes ranging from density estimation to normalization. In this contribution we propose Gaussia... View full abstract»

• Blank page

Publication Year: 2011, Page(s): 486
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• IEEE Signal Processing Letters Information for authors

Publication Year: 2011, Page(s):487 - 488
| PDF (143 KB)
• IEEE Signal Processing Society Information

Publication Year: 2011, Page(s): C3
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• Blank page [back cover]

Publication Year: 2011, 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
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