Content Gazette - July 2015 - 28

On the Secrecy of Interference-Limited Networks under Composite Fading Channels http://dx.doi.org/10.1109/LSP.2015.2398514 . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . H. Alves, C. H. M. de Lima, P. H. J. Nardelli, R. D. Souza, and M. Latva-aho
Distributed Compressed Estimation Based on Compressive Sensing http://dx.doi.org/10.1109/LSP.2015.2400372 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . S. Xu, R. C. de Lamare, and H. V. Poor
Simultaneous Blind Gamma Estimation http://dx.doi.org/10.1109/LSP.2015.2396299 . . . . . . . . . . . . . . . . . . . . . . . . . . . . J. Vazquez-Corral and M. Bertalmío
ICI-Free Equalization in OFDM Systems with Blanking Preprocessing at the Receiver for Impulsive Noise Mitigation
http://dx.doi.org/10.1109/LSP.2015.2398366 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . D. Darsena, G. Gelli, F. Melito, and F. Verde
Restricted Isometry Property of Subspace Projection Matrix Under Random Compression http://dx.doi.org/10.1109/LSP.2015.2402206 . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . X. Shen and Y. Gu
Visual Tracking via Locally Structured Gaussian Process Regression http://dx.doi.org/10.1109/LSP.2015.2402313 . . . . . . . . . . . . . . Y. Sui and L. Zhang
Spatial Stimuli Gradient Sketch Model http://dx.doi.org/10.1109/LSP.2015.2404827 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . J. J. Mathew and A. P. James
Multichannel Random Discrete Fractional Fourier Transform http://dx.doi.org/10.1109/LSP.2015.2402395 . . . . . . . . . . X. Kang, F. Zhang, and R. Tao
Structured Saliency Fusion Based on Dempster-Shafer Theory http://dx.doi.org/10.1109/LSP.2015.2399621 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . X. Wei, Z. Tao, C. Zhang, and X. Cao
Visual Tracking via Constrained Incremental Non-negative Matrix Factorization http://dx.doi.org/10.1109/LSP.2015.2404856 . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . H. Zhang, S. Hu, X. Zhang, and L. Luo
Performance Analysis of Network Coded Cooperation with Channel Coding and Adaptive DF-Based Relaying in Rayleigh Fading
Channels http://dx.doi.org/10.1109/LSP.2015.2405083 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . T. X. Vu, P. Duhamel, and M. D. Renzo
Adaptive Radar Detection and Range Estimation with Oversampled Data for Partially Homogeneous Environment
http://dx.doi.org/10.1109/LSP.2015.2404923 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . C. Hao, D. Orlando, G. Foglia, X. Ma, and C. Hou
Artifact-Free Wavelet Denoising: Non-convex Sparse Regularization, Convex Optimization http://dx.doi.org/10.1109/LSP.2015.2406314 . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Y. Ding and I. W. Selesnick
Low Cost Pre-Coder Design for MIMO AF Two-Way Relay Channel http://dx.doi.org/10.1109/LSP.2014.2375276 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Y. Zhang, L. Ping, and Z. Zhang
Component Extraction for Non-Stationary Multi-Component Signal Using Parameterized De-chirping and Band-Pass Filter
http://dx.doi.org/10.1109/LSP.2014.2377038 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Y. Yang, X. Dong, Z. Peng, W. Zhang, and G. Meng
Sparse-Distinctive Saliency Detection http://dx.doi.org/10.1109/LSP.2014.2382755 . . . . . . . . . . . . . . . . . . . . . . . . . . . . Y. Luo, P. Wang, W. Zhu, and H. Qiao
Adaptive Integral Operators for Signal Separation http://dx.doi.org/10.1109/LSP.2014.2352340 . . . . . . . . . . . . . . . . . . . . X. Hu, S. Peng, and W.-L. Hwang
Eavesdropping-Based Gossip Algorithms for Distributed Consensus in Wireless Sensor Networks http://dx.doi.org/10.1109/LSP.2015.2398191 . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . S. Wu, B. Liu, X. Bai, and Y. Hou
Pileup Correction Algorithm using an Iterated Sparse Reconstruction Method http://dx.doi.org/10.1109/LSP.2015.2406911 . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . T. Trigano, I. Gildin, and Y. Sepulcre
Salient Object Detection with Higher Order Potentials and Learning Affinity http://dx.doi.org/10.1109/LSP.2014.2377216 . . . L. Zhang and X. Yuan
Semi-Local Structure Patterns for Robust Face Detection http://dx.doi.org/10.1109/LSP.2014.2372762 . . . . . . . . . . . . K. Jeong, J. Choi, and G.-J. Jang
Near-Duplicate Image Retrieval Based on Contextual Descriptor http://dx.doi.org/10.1109/LSP.2014.2377795 . . . . . . . . . J. Yao, B. Yang, and Q. Zhu
Optimal Bartlett Detector Based SPRT for Spectrum Sensing in Multi-antenna Cognitive Radio Systems
http://dx.doi.org/10.1109/LSP.2015.2407374 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . S. Dwivedi, A. Kota, and A. K. Jagannatham
Recovery of Discontinuous Signals Using Group Sparse Higher Degree Total Variation http://dx.doi.org/10.1109/LSP.2015.2407321 . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . G. Ongie and M. Jacob
Structure-Induced Complex Kalman Filter for Decentralized Sequential Bayesian Estimation http://dx.doi.org/10.1109/LSP.2015.2407196 . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . A. Mohammadi and K. N. Plataniotis
Weight-Space Viterbi Decoding Based Spectral Subtraction for Reverberant Speech Recognition http://dx.doi.org/10.1109/LSP.2015.2408371 . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . S. M. Ban and H. S. Kim
Local Smoothness Enforced Cost Volume Regularization for Fast Stereo Correspondence http://dx.doi.org/10.1109/LSP.2015.2409203 . . . . Q. Yang
Quantifying the Transmit Diversity Order of Euclidean Distance Based Antenna Selection in Spatial Modulation
http://dx.doi.org/10.1109/LSP.2015.2408574 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . R. Rajashekar, K. V. S. Hari, and L. Hanzo
Remarks on the Spatial Smoothing Step in Coarray MUSIC http://dx.doi.org/10.1109/LSP.2015.2409153 . . . . . . . . . . C.-L. Liu and P. P. Vaidyanathan
A Fast Low Complexity Method for Optimal Zero-Forcing Beamformer MU-MIMO System http://dx.doi.org/10.1109/LSP.2015.2407903 . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . H. H. Dam, A. Cantoni, and B. Li
A Step Size Control Method for Deficient Length FBLMS Algorithm http://dx.doi.org/10.1109/LSP.2014.2382113 . . . . . . . . . . . . . . M. Wu and J. Yang
Visual Tracking via Temporally Smooth Sparse Coding http://dx.doi.org/10.1109/LSP.2014.2365363 . . . . T. Liu, G. Wang, L. Wang, and K. L. Chan
Datum-Adaptive Local Metric Learning for Person Re-identification http://dx.doi.org/10.1109/LSP.2014.2387847 . . . . . . K. Liu, Z. Zhao, and A. Cai
A Generic Construction of Z-Periodic Complementary Sequence Sets with Flexible Flock Size and Zero Correlation Zone Length
http://dx.doi.org/10.1109/LSP.2014.2369512 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . P. Ke and Z. Zhou
Coherent Integration for Maneuvering Target Detection Based on Radon-Lv's Distribution http://dx.doi.org/10.1109/LSP.2015.2390777 . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . X. Li, G. Cui, W. Yi, and L. Kong
Subcategory-Aware Object Detection http://dx.doi.org/10.1109/LSP.2014.2299571 . . . . . . . . . . . X. Yu, J. Yang, Z. Lin, J. Wang, T. Wang, and T. Huang
Learning to Detect Anomalies in Surveillance Video http://dx.doi.org/10.1109/LSP.2015.2410031 . . . . . . . . . . . . . . . . . . . . T. Xiao, C. Zhang, and H. Zha
Aggregative Modeling of Nonlinear Systems http://dx.doi.org/10.1109/LSP.2015.2405613 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . P. Wachel and P. S´liwin´ski
Multimedia Retrieval via Deep Learning to Rank http://dx.doi.org/10.1109/LSP.2015.2410134 . . . . . . . . . . . . . . . . . . . . . . . . . . X. Zhao, X. Li, and Z. Zhang
Robust Transceiver Optimization for Power-Splitting Based Downlink MISO SWIPT Systems http://dx.doi.org/10.1109/LSP.2015.2410833 . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . F. Wang, T. Peng, Y. Huang, and X. Wang
Cramér-Rao Bound for Sparse Signals Fitting the Low-Rank Model with Small Number of Parameters
http://dx.doi.org/10.1109/LSP.2015.2409896 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . M. Shaghaghi and S. A. Vorobyov

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http://dx.doi.org/10.1109/LSP.2015.2398514 http://dx.doi.org/10.1109/LSP.2015.2400372 http://dx.doi.org/10.1109/LSP.2015.2396299 http://dx.doi.org/10.1109/LSP.2015.2398366 http://dx.doi.org/10.1109/LSP.2015.2402206 http://dx.doi.org/10.1109/LSP.2015.2402313 http://dx.doi.org/10.1109/LSP.2015.2404827 http://dx.doi.org/10.1109/LSP.2015.2402395 http://dx.doi.org/10.1109/LSP.2015.2399621 http://dx.doi.org/10.1109/LSP.2015.2404856 http://dx.doi.org/10.1109/LSP.2015.2405083 http://dx.doi.org/10.1109/LSP.2015.2404923 http://dx.doi.org/10.1109/LSP.2015.2406314 http://dx.doi.org/10.1109/LSP.2014.2375276 http://dx.doi.org/10.1109/LSP.2014.2377038 http://dx.doi.org/10.1109/LSP.2014.2382755 http://dx.doi.org/10.1109/LSP.2014.2352340 http://dx.doi.org/10.1109/LSP.2015.2398191 http://dx.doi.org/10.1109/LSP.2015.2406911 http://dx.doi.org/10.1109/LSP.2014.2377216 http://dx.doi.org/10.1109/LSP.2014.2372762 http://dx.doi.org/10.1109/LSP.2014.2377795 http://dx.doi.org/10.1109/LSP.2015.2407374 http://dx.doi.org/10.1109/LSP.2015.2407321 http://dx.doi.org/10.1109/LSP.2015.2407196 http://dx.doi.org/10.1109/LSP.2015.2408371 http://dx.doi.org/10.1109/LSP.2015.2409203 http://dx.doi.org/10.1109/LSP.2015.2408574 http://dx.doi.org/10.1109/LSP.2015.2409153 http://dx.doi.org/10.1109/LSP.2015.2407903 http://dx.doi.org/10.1109/LSP.2014.2382113 http://dx.doi.org/10.1109/LSP.2014.2365363 http://dx.doi.org/10.1109/LSP.2014.2387847 http://dx.doi.org/10.1109/LSP.2014.2369512 http://dx.doi.org/10.1109/LSP.2015.2390777 http://dx.doi.org/10.1109/LSP.2014.2299571 http://dx.doi.org/10.1109/LSP.2015.2410031 http://dx.doi.org/10.1109/LSP.2015.2405613 http://dx.doi.org/10.1109/LSP.2015.2410134 http://dx.doi.org/10.1109/LSP.2015.2410833 http://dx.doi.org/10.1109/LSP.2015.2409896 http://www.signalprocessingsociety.org

Table of Contents for the Digital Edition of Content Gazette - July 2015

Content Gazette - July 2015 - Cover1
Content Gazette - July 2015 - Cover2
Content Gazette - July 2015 - 1
Content Gazette - July 2015 - 2
Content Gazette - July 2015 - 3
Content Gazette - July 2015 - 4
Content Gazette - July 2015 - 5
Content Gazette - July 2015 - 6
Content Gazette - July 2015 - 7
Content Gazette - July 2015 - 8
Content Gazette - July 2015 - 9
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Content Gazette - July 2015 - 11
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Content Gazette - July 2015 - 13
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Content Gazette - July 2015 - 17
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Content Gazette - July 2015 - 19
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Content Gazette - July 2015 - 21
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Content Gazette - July 2015 - 23
Content Gazette - July 2015 - 24
Content Gazette - July 2015 - 25
Content Gazette - July 2015 - 26
Content Gazette - July 2015 - 27
Content Gazette - July 2015 - 28
Content Gazette - July 2015 - 29
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Content Gazette - July 2015 - 35
Content Gazette - July 2015 - 36
Content Gazette - July 2015 - 37
Content Gazette - July 2015 - 38
Content Gazette - July 2015 - Cover3
Content Gazette - July 2015 - Cover4
https://www.nxtbook.com/nxtbooks/ieee/contentgazette_202312
https://www.nxtbook.com/nxtbooks/ieee/contentgazette_202311
https://www.nxtbook.com/nxtbooks/ieee/contentgazette_202310
https://www.nxtbook.com/nxtbooks/ieee/contentgazette_202309
https://www.nxtbook.com/nxtbooks/ieee/contentgazette_202308
https://www.nxtbook.com/nxtbooks/ieee/contentgazette_202307
https://www.nxtbook.com/nxtbooks/ieee/contentgazette_202306
https://www.nxtbook.com/nxtbooks/ieee/contentgazette_202305
https://www.nxtbook.com/nxtbooks/ieee/contentgazette_202304
https://www.nxtbook.com/nxtbooks/ieee/contentgazette_202303
https://www.nxtbook.com/nxtbooks/ieee/contentgazette_202302
https://www.nxtbook.com/nxtbooks/ieee/contentgazette_202301
https://www.nxtbook.com/nxtbooks/ieee/contentgazette_202212
https://www.nxtbook.com/nxtbooks/ieee/contentgazette_202211
https://www.nxtbook.com/nxtbooks/ieee/contentgazette_202210
https://www.nxtbook.com/nxtbooks/ieee/contentgazette_202209
https://www.nxtbook.com/nxtbooks/ieee/contentgazette_202208
https://www.nxtbook.com/nxtbooks/ieee/contentgazette_202207
https://www.nxtbook.com/nxtbooks/ieee/contentgazette_202206
https://www.nxtbook.com/nxtbooks/ieee/contentgazette_202205
https://www.nxtbook.com/nxtbooks/ieee/contentgazette_202204
https://www.nxtbook.com/nxtbooks/ieee/contentgazette_202203
https://www.nxtbook.com/nxtbooks/ieee/contentgazette_202202
https://www.nxtbook.com/nxtbooks/ieee/contentgazette_202201
https://www.nxtbook.com/nxtbooks/ieee/contentgazette_202112
https://www.nxtbook.com/nxtbooks/ieee/contentgazette_202111
https://www.nxtbook.com/nxtbooks/ieee/contentgazette_202110
https://www.nxtbook.com/nxtbooks/ieee/contentgazette_202109
https://www.nxtbook.com/nxtbooks/ieee/contentgazette_202108
https://www.nxtbook.com/nxtbooks/ieee/contentgazette_202107
https://www.nxtbook.com/nxtbooks/ieee/contentgazette_202106
https://www.nxtbook.com/nxtbooks/ieee/contentgazette_202105
https://www.nxtbook.com/nxtbooks/ieee/contentgazette_202104
https://www.nxtbook.com/nxtbooks/ieee/contentgazette_202103
https://www.nxtbook.com/nxtbooks/ieee/contentgazette_202102
https://www.nxtbook.com/nxtbooks/ieee/contentgazette_202101
https://www.nxtbook.com/nxtbooks/ieee/contentgazette_202012
https://www.nxtbook.com/nxtbooks/ieee/contentgazette_202011
https://www.nxtbook.com/nxtbooks/ieee/contentgazette_202010
https://www.nxtbook.com/nxtbooks/ieee/contentgazette_202009
https://www.nxtbook.com/nxtbooks/ieee/contentgazette_202008
https://www.nxtbook.com/nxtbooks/ieee/contentgazette_202007
https://www.nxtbook.com/nxtbooks/ieee/contentgazette_202006
https://www.nxtbook.com/nxtbooks/ieee/contentgazette_202005
https://www.nxtbook.com/nxtbooks/ieee/contentgazette_202004
https://www.nxtbook.com/nxtbooks/ieee/contentgazette_202003
https://www.nxtbook.com/nxtbooks/ieee/contentgazette_202002
https://www.nxtbook.com/nxtbooks/ieee/contentgazette_202001
https://www.nxtbook.com/nxtbooks/ieee/contentgazette_201912
https://www.nxtbook.com/nxtbooks/ieee/contentgazette_201911
https://www.nxtbook.com/nxtbooks/ieee/contentgazette_201910
https://www.nxtbook.com/nxtbooks/ieee/contentgazette_201909
https://www.nxtbook.com/nxtbooks/ieee/contentgazette_201908
https://www.nxtbook.com/nxtbooks/ieee/contentgazette_201907
https://www.nxtbook.com/nxtbooks/ieee/contentgazette_201906
https://www.nxtbook.com/nxtbooks/ieee/contentgazette_201905
https://www.nxtbook.com/nxtbooks/ieee/contentgazette_201904
https://www.nxtbook.com/nxtbooks/ieee/contentgazette_201903
https://www.nxtbook.com/nxtbooks/ieee/contentgazette_201902
https://www.nxtbook.com/nxtbooks/ieee/contentgazette_201901
https://www.nxtbook.com/nxtbooks/ieee/contentgazette_201812
https://www.nxtbook.com/nxtbooks/ieee/contentgazette_201811
https://www.nxtbook.com/nxtbooks/ieee/contentgazette_201810
https://www.nxtbook.com/nxtbooks/ieee/contentgazette_201809
https://www.nxtbook.com/nxtbooks/ieee/contentgazette_201808
https://www.nxtbook.com/nxtbooks/ieee/contentgazette_201807
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