Content Gazette - February 2020 - 19

Robust Image Compressive Sensing Based on Truncated Cauchy Loss and Nonlocal Low-Rank Regularization . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . X. Sun, B. Chen, and H. Sun
Permuted Sparse Representation for 3D Point Clouds . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . J. Hou
Boosting Image Steganalysis Under Universal Deep Learning Architecture Incorporating Ensemble Classification Strategy
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . A. Su and X. Zhao
Matched Filtering Accelerated by Tensor Cores on Volta GPUs With Improved Accuracy Using Half-Precision Variables
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . T. Yamaguchi, T. Ichimura, K. Fujita, A. Kato, and S. Nakagawa
A Novel Adaptive Kalman Filter With Unknown Probability of Measurement Loss . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . G. Jia, Y. Huang, Y. Zhang, and J. Chambers
Authentically Distorted Image Quality Assessment by Learning From Empirical Score Distributions . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Q. Jiang, Z. Peng, S. Yang, and F. Shao
A Speech Synthesis Approach for High Quality Speech Separation and Generation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Q. Liu, P. JB Jackson, and W. Wang
Multilevel and Multiscale Network for Single-Image Super-Resolution . . . . . . . . Y. Yang, D. Zhang, S. Huang, and J. Wu
3DFR: A Swift 3D Feature Reductionist Framework for Scene Independent Change Detection . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . M. Mandal, V. Dhar, A. Mishra, and S. K. Vipparthi
Increasing Compactness of Deep Learning Based Speech Enhancement Models With Parameter Pruning and Quantization
Techniques . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . J.-Y. Wu, C. Yu, S.-W. Fu, C.-T. Liu, S.-Y. Chien, and Y. Tsao
Restricted Connection Orthogonal Matching Pursuit for Sparse Subspace Clustering . . . . . . . W. Zhu, S. Yang, and Y. Zhu
Comparison of Wavelet and RID-Rihaczek Based Methods for Phase-Amplitude Coupling . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . T. T. K. Munia and S. Aviyente
Recursive Variable Span Linear Filter for Noise Reduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . Y. Zhao, J. Chen, and J. Chen
A Hybrid R-BILSTM-C Neural Network Based Text Steganalysis . . . . . . . . . . . . . . . . Y. Niu, J. Wen, P. Zhong, and Y. Xue
Learning Combination of Graph Filters for Graph Signal Modeling . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . F. Hua, C. Richard, J. Chen, H. Wang, P. Borgnat, and P. Gonc¸alves
Joint Preprocessing of Multiple Datasets to Enhance Source Separation . . . . . . E. Naghsh, M. F. Sabahi, and S. Beheshti
Semi-Supervised EEG Signals Classification System for Epileptic Seizure Detection . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . A. M. Abdelhameed and M. Bayoumi
Estimation of Damping Factor and Signal Frequency for Damped Sinusoidal Signal by Three Points Interpolated DFT
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .K. Wang, H. Wen, W. Tai, and G. Li
New Optimal Binary Z-Complementary Pairs of Odd Length 2m + 3 . . . .B. Shen, Y. Yang, Z. Zhou, P. Fan, and Y. Guan
Linear Convolution Filter to Reduce Computational Complexity Based on Discrete Hirschman Transform . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . D. Xue, L. S. DeBrunner, and V. DeBrunner

1842
1847
1852
1857
1862
1867
1872
1877
1882
1887
1892
1897
1902
1907
1912
1917
1922
1927
1931
1935

List of Reviewers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

1940

2019 INDEX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Available online at https://ieeexplore.ieee.org

1948

EDICS-Editors' Information Classification Scheme . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Information for Authors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

www.signalprocessingsociety.org

[19]

FEBRUARY 2020
Content Gazette - February 2020

Table of Contents for the Digital Edition of Content Gazette - February 2020
