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# IEEE Signal Processing Letters

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Displaying Results 1 - 25 of 37
• ### [Front cover]

Publication Year: 2014, Page(s): C1
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• ### IEEE Signal Processing Letters publication information

Publication Year: 2014, Page(s): C2
| PDF (132 KB)

Publication Year: 2014, Page(s):1169 - 1170
| PDF (179 KB)

Publication Year: 2014, Page(s):1171 - 1172
| PDF (179 KB)
• ### Separation of Weak Reflection from a Single Superimposed Image

Publication Year: 2014, Page(s):1173 - 1176
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It is an inherently ill-posed problem to separate a single superimposed image into a reflection image and a transmission image. In this letter, a novel algorithm is proposed based on the prior knowledge that edges of weak reflection are always smoother than most edges of observed objects. To filter out the edges of weak reflection, an MRF-EM (Markov Random Field and Expectation Maximization) frame... View full abstract»

• ### Short Length Trellis-Based Codes for Gaussian Multiple-Access Channels

Publication Year: 2014, Page(s):1177 - 1181
Cited by:  Papers (1)
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We focus on trellis-based joint code design for two-user Gaussian multiple-access channel (MAC) in the short block length regime. We propose a design methodology, provide specific code designs and report numerical performance results. We compare the performance of the jointly designed codes with the performance of the codes designed for point-to-point (P2P) channels including optimum (in terms of ... View full abstract»

• ### Testing the Energy of Random Signals in a Known Subspace: An Optimal Invariant Approach

Publication Year: 2014, Page(s):1182 - 1186
Cited by:  Papers (1)
| | PDF (1019 KB) | HTML

We consider the problem of testing whether the energy of a random signal projected onto a known subspace exceeds some specified value τ ≥ 0. The probability distribution of the signal is assumed to be unknown and this signal is observed in additive and independent white Gaussian noise with known variance. The proposed theoretical framework relies on the invariance of the problem and ... View full abstract»

• ### Face Hallucination Based on Modified Neighbor Embedding and Global Smoothness Constraint

Publication Year: 2014, Page(s):1187 - 1191
Cited by:  Papers (5)
| | PDF (1061 KB) | HTML

Based on the manifold assumption, some face hallucination methods have been developed. However, since the super-resolution (SR) is an ill-posed problem, the manifold assumption does not hold always. To solve this problem, we modify the assumption using Easy-Partial Least Squares (EZ-PLS) algorithm and present a new face hallucination scheme using the modified assumption. Firstly, the high-resoluti... View full abstract»

• ### Compact Graph based Semi-Supervised Learning for Medical Diagnosis in Alzheimer’s Disease

Publication Year: 2014, Page(s):1192 - 1196
Cited by:  Papers (4)
| | PDF (1021 KB) | HTML

Dementia is one of the most common neurological disorders among the elderly. Identifying those who are of high risk suffering dementia is important for early diagnosis in order to slow down the disease progression and help preserve some cognitive functions of the brain. To achieve accurate classification, significant amount of subject feature information are involved. Hence identification of demen... View full abstract»

• ### Vocal Separation from Monaural Music Using Temporal/Spectral Continuity and Sparsity Constraints

Publication Year: 2014, Page(s):1197 - 1200
Cited by:  Papers (6)
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In this letter, we describe a novel approach for separating a vocal signal from monaural music. We assume that the accompaniment in a music signal can be represented as the sum of the sustained harmonic and percussive sounds. Based on the observation that singing voices usually contain rapidly changing harmonic signals such as fast vibratos, slides, and/or glissandos, we propose a statistical mode... View full abstract»

• ### Orthogonal Frequency Diversity Waveform with Range-Doppler Optimization for MIMO Radar

Publication Year: 2014, Page(s):1201 - 1205
Cited by:  Papers (9)
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In this letter, we modify the transmitted signal of the discrete frequency coding waveform with linear frequency modulation (DFCW-LFM) for multiple-input multiple-output (MIMO) radar from contiguous subpulses to an inconsecutive pulse train. The range-Doppler map is obtained by performing fast Fourier transform (FFT) after the transmit beamformer to detect the moving target. The cost function of t... View full abstract»

• ### Factor Graph Based LMMSE Filtering for Colored Gaussian Processes

Publication Year: 2014, Page(s):1206 - 1210
Cited by:  Papers (1)
| | PDF (881 KB) | HTML

We propose a reduced complexity, graph based linear minimum mean square error (LMMSE) filter in which the non-white statistics of a random noise process are taken into account. Our method corresponds to block LMMSE filtering, and has the advantage of complexity linearly increasing with the block length and the ease of incorporating the a priori information of the input signals whenever possible. T... View full abstract»

• ### Convergence of the Huber Regression M-Estimate in the Presence of Dense Outliers

Publication Year: 2014, Page(s):1211 - 1214
Cited by:  Papers (1)
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We consider the problem of estimating a deterministic unknown vector which depends linearly on n noisy measurements, additionally contaminated with (possibly unbounded) additive outliers. The measurement matrix of the model (i.e., the matrix involved in the linear transformation of the sought vector) is assumed known, and comprised of standard Gaussian i.i.d. entries. The outlier variables are ass... View full abstract»

• ### New Image Quality Evaluation Metric for Underwater Video

Publication Year: 2014, Page(s):1215 - 1219
Cited by:  Papers (4)
| | PDF (754 KB) | HTML

This work presents a new vectorial underwater image quality metric, dubbed the CQ, that integrates the power spectrum. Unlike existing objective underwater image quality metrics, the proposed metric consists of a discriminator C based on the slope of the log-contrast power spectrum that is able to distinguish between marine habitats when a large number of images of different environments are to be... View full abstract»

• ### Patch-Based Conditional Context Coding of Stereo Disparity Images

Publication Year: 2014, Page(s):1220 - 1224
| | PDF (922 KB) | HTML Media

This letter proposes a method for lossless coding the left disparity image, L, from a stereo disparity image pair (L,R), conditional on the right disparity image, R, by keeping track of the transformation of the constant patches from R to L. The disparities in R are used for predicting the disparities in L, and the locations of the pixels where the prediction is erroneous are encoded in a first st... View full abstract»

• ### Multi-User Non-Coherent Detection for Downlink MIMO Communication

Publication Year: 2014, Page(s):1225 - 1229
Cited by:  Papers (4)  |  Patents (1)
| | PDF (626 KB) | HTML

Current cellular technologies are based on the concept of coherent communication, in which the channel matrix used for demodulation is estimated via reference or pilot signals. Coherent systems, however, involve a significant increase of the signalling overhead, especially when the number of transmission points is increased or when the mobile channel changes rapidly, which motivates the use of non... View full abstract»

• ### Maximum Voiced Frequency Estimation: Exploiting Amplitude and Phase Spectra

Publication Year: 2014, Page(s):1230 - 1234
Cited by:  Papers (4)
| | PDF (497 KB) | HTML

Maximum Voiced Frequency (MVF) is used in various speech models as the spectral boundary separating periodic and aperiodic components during the production of voiced sounds. Recent studies have shown that its proper estimation and modeling enhance the quality of statistical parametric speech synthesizers. Contrastingly, these same methods of MVF estimation have been reported to degrade the perform... View full abstract»

• ### Scaled-Distance-Transforms and Monotonicity of Autocorrelations

Publication Year: 2014, Page(s):1235 - 1239
| | PDF (1226 KB) | HTML

In this letter, we investigate the use of distance transforms in a scale space domain for the image (and signal) misalignment problem. We show that it is possible to build an autocorrelation function that is monotonic with respect to the amount of translation. This creates a new paradigm for image comparison and gives yet a new generalization of distance transforms to grey-level images. Its behavi... View full abstract»

• ### Decreasing Weighted Sorted ${ell_1}$ Regularization

Publication Year: 2014, Page(s):1240 - 1244
Cited by:  Papers (1)
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We consider a new family of regularizers, termed weighted sorted ℓ1 norms (WSL1), which generalizes the recently introduced octagonal shrinkage and clustering algorithm for regression (OSCAR) and also contains the ℓ1 and ℓ norms as particular instances. We focus on a special case of the WSL1, the decreasing WSL1 (DWSL1), where the eleme... View full abstract»

• ### Image Super-Resolution via Local Self-Learning Manifold Approximation

Publication Year: 2014, Page(s):1245 - 1249
Cited by:  Papers (9)
| | PDF (722 KB) | HTML

This letter proposes a novel learning-based super-resolution method rooted in low dimensional manifold representations of high-resolution (HR) image-patch spaces. We exploit the input image and its different down-sampled scales to extract a set of training sample points using a min-max algorithm. A set of low dimensional tangent spaces is estimated from these samples using the l1 norm graph-based ... View full abstract»

• ### Video Saliency Detection Using Contrast of Spatiotemporal Directional Coherence

Publication Year: 2014, Page(s):1250 - 1254
Cited by:  Papers (5)
| | PDF (846 KB) | HTML

Saliency detection in video sequences has attracted great attention in recent years due to its promising contributions for various computer vision applications. However, most existing methods often fail to correctly find salient regions in complex scenes due to ambiguities between salient motions and irrelevant ones generated from the background. In this letter, we present a simple and powerful fr... View full abstract»

• ### Dynamic Point Clustering with Line Constraints for Moving Object Detection in DAS

Publication Year: 2014, Page(s):1255 - 1259
Cited by:  Papers (1)
| | PDF (914 KB) | HTML

In this letter, we propose a robust dynamic point clustering method for detecting moving objects in stereo image sequences, which is essential for collision detection in driver assistance system. If multiple objects with similar motions are located in close proximity, dynamic points from different moving objects may be clustered together when using the position and velocity as clustering criteria.... View full abstract»

• ### Successive Elimination Algorithm for Constrained One-bit Transform Based Motion Estimation Using the Bonferroni Inequality

Publication Year: 2014, Page(s):1260 - 1264
| | PDF (1174 KB) | HTML

The constrained one-bit transform (C1BT) was proposed to increase the motion estimation (ME) accuracy of the previous one-bit transform (1BT) especially for small motion blocks. Although making another bit-plane is very simple and efficient, its performance is even better than that of the two-bit transform (2BT) based ME. However, unlike the 1BT-based ME and the 2BT-based ME, the successive elimin... View full abstract»

• ### Acoustic Echo Control with Frequency-Domain Stage-Wise Regression

Publication Year: 2014, Page(s):1265 - 1269
| | PDF (849 KB) | HTML

This letter introduces frequency domain stage-wise regression to acoustic echo control. By approximating the echo path as concatenate short segments in frequency domain, simple regression in the frequency domain can be carried out to estimate the echo contributed by consecutive far-end signal blocks stage by stage. A non-stationarity controlled smoothing factor is proposed alongside the regression... View full abstract»

• ### Facial Image Compression using Patch-Ordering-Based Adaptive Wavelet Transform

Publication Year: 2014, Page(s):1270 - 1274
Cited by:  Papers (5)
| | PDF (1212 KB) | HTML

Compression of frontal facial images is an appealing and important application. Recent work has shown that specially tailored algorithms for this task can lead to performance far exceeding JPEG2000. This letter proposes a novel such compression algorithm, exploiting our recently developed redundant tree-based wavelet transform. Originally meant for functions defined on graphs and cloud of points, ... View full abstract»

## 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