Content Gazette - July 2017 - 22

(Contents Continued from Page 727)
Contrast Enhancement Using Combined 1-D and 2-D Histogram-Based Techniques . . . . . . . . . . . . . . . D. Kim and C. Kim
Suppressing Random Artifacts in Reference Sensor Pattern Noise via Decorrelation . . . . . . . . . . . . . . . Q. Rao and J. Wang
Unitary Algorithm for Nonseparable Linear Canonical Transforms Applied to Iterative Phase Retrieval . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . L. Zhao, J. T. Sheridan, and J. J. Healy
A Direct-Path Interference Resistant Passive Detector . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . X. Zhang, H. Li, and B. Himed
A Coherence-Based Algorithm for Optimizing Rank-1 Grassmannian Codebooks . . . . H. E. A. Laue and W. P. du Plessis
Local Adaptive Binary Patterns Using Diamond Sampling Structure for Texture Classification . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Z. Pan, X. Wu, Z. Li, and Z. Zhou
Iterative Decision Feedback Equalization for SC-FDE Systems Without Fine Timing Synchronization . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . K. Zhang, H. Yu, Y. Hu, and Z. Shen
Plug-In Measure-Transformed Quasi-Likelihood Ratio Test for Random Signal Detection . . . . . . N. Halay and K. Todros
A New Contourlet Transform With Adaptive Directional Partitioning . . . . . . . . . . . H. Zhao, X. Zhao, T. Zhang, and Y. Liu
Light-Field Image Super-Resolution Using Convolutional Neural Network . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Y. Yoon, H.-G. Jeon, D. Yoo, J.-Y. Lee, and I. S. Kweon
Adaptive Metric Learning and Probe-Specific Reranking for Person Reidentification . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Y. Xie, H. Yu, X. Gong, and M. D. Levine
On the Convergence of Constrained Particle Filters . . . . . . . . . . N. Amor, N. C. Bouaynaya, R. Shterenberg, and S. Chebbi
Efficient Compressed Sensing for Wireless Neural Recording: A Deep Learning Approach . . . . . . . . . B. Sun and H. Feng
Subjective Assessment of Super Multiview Video with Coding Artifacts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . R. Recio, P. Carballeira, J. Guti´errez, and N. Garc´ıa
What to Expect When You Are Expecting on the Grassmannian . . . . . . . . . . . . . A. Eftekhari, L. Balzano, and M. B. Wakin
Wavelet-Based Total Variation and Nonlocal Similarity Model for Image Denoising . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Y. Shen, Q. Liu, S. Lou, and Y.-L. Hou
Efficient Stepsize Selection Strategy for Givens Parametrized ICA Applied to EEG Denoising. . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . M. Saleh, A. Karfoul, A. Kachenoura, I. Merlet, and L. Albera
Asymptotic and Bootstrap Tests for the Dimension of the Non-Gaussian Subspace . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . K. Nordhausen, H. Oja, D. E. Tyler, and J. Virta
Toward High-Quality Real-Time Signal Reconstruction From STFT Magnitude . . . . . . . . . . . . . . . . . Z. Prˇsa and P. Rajmic
Analysis of the FFT-FBMC Equalization in Selective Channels . . . . . . . . . . . . . . . . . . . . . . . . . . R. Zakaria and D. Le Ruyet
An Efficient Weighted Least Squares Estimator for Elliptic Localization in Distributed MIMO Radars . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . R. Amiri and F. Behnia
Discriminative Bag-of-Words-Based Adaptive Appearance Model for Robust Visual Tracking . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . F. Zeng, Z. Huang, and Y. Ji
Novel Fractional-Order Difference Schemes Reducible to Standard Integer-Order Formulas . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . M. P. Paskaˇs, I. S. Reljin, and B. D. Reljin
Proactive Eavesdropping in Relaying Systems . . . . . . . . . . . . . . . . . . . . . X. Jiang, H. Lin, C. Zhong, X. Chen, and Z. Zhang
EDICS-Editor's Information Classification Scheme . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Information for Authors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

www.signalprocessingsociety.org

[22]

July 2017

804
809
814
818
823
828
833
838
843
848
853
858
863
868
872
877
882
887
892
897
902
907
912
917
922
923
http://www.signalprocessingsociety.org
Table of Contents for the Digital Edition of Content Gazette - July 2017
