Content Gazette - February 2020 - 18

DECEMBER 2019

VOLUME 26

NUMBER 12

ISPLEM

(ISSN 1070-9908)

LETTERS

Pyramid-Structured Depth MAP Super-Resolution Based on Deep Dense-Residual Network . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . L. Huang, J. Zhang, Y. Zuo, and Q. Wu
Efficient Sensing of Correlated Spatiotemporal Signals: A Stochastic Gradient Approach . . . . . . . . . . . . . . . . . . . H. Alasti
Sliding 2D Discrete Fractional Fourier Transform . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Y. Liu, H. Miao, F. Zhang, and R. Tao
Distributed Detection of Sparse Stochastic Signals via Fusion of 1-bit Local Likelihood Ratios . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . C. Li, Y. He, X. Wang, G. Li, and P. K. Varshney
TS-RNN: Text Steganalysis Based on Recurrent Neural Networks . . . Z. Yang, K. Wang, J. Li, Y. Huang, and Y.-J. Zhang
Dispersive Delay and Comb Filters Using a Modal Structure . . . . . . . . . . . . . . . . . . . . J. S. Abel and E. K. Canfield-Dafilou
Secondary Information Aware Facial Expression Recognition . . . . . . . . . . . . . . . . . . . Y. Tian, J. Cheng, Y. Li, and S. Wang
Open-World Person Re-Identification With Deep Hash Feature Embedding . . . . . . . . . . . . . . . . Y. Zhao, Y. Li, and S. Wang
Visual Tracking Via Multi-Layer Factorized Correlation Filter . . . . . . . . . B. Kang, G. Chen, Q. Zhou, J. Yan, and M. Lin
Deep Coupled-Representation Learning for Sparse Linear Inverse Problems With Side Information . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . E. Tsiligianni and N. Deligiannis
STUPEFY: Set-Valued Box Particle Filtering for Bluetooth Low Energy-Based Indoor Localization . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . P. Malekzadeh, A. Mohammadi, M. Barbulescu, and K. N. Plataniotis
Joint Design of Measurement Matrix and Sparse Support Recovery Method via Deep Auto-Encoder . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . S. Li, W. Zhang, Y. Cui, H. V. Cheng, and W. Yu
Time-Varying Time-Frequency Tilings Using Non-Uniform Orthogonal Filterbanks Based on MDCT Analysis/Synthesis
and Time Domain Aliasing Reduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . N. Werner and B. Edler
Deep Recurrent Network for Fast and Full-Resolution Light Field Deblurring . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . J. S. Lumentut, T. H. Kim, R. Ramamoorthi, and I. K. Park
Multi-Level Dual-Attention Based CNN for Macular Optical Coherence Tomography Classification . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .S. S. Mishra, B. Mandal, and N. B. Puhan
Computationally Efficient Sinusoidal Parameter Estimation From Signed Measurements: ADMM Approaches . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . H. Zhu, F. Liu, and J. Li
Square-Root Approach for Chandrasekhar-Based Maximum Correntropy Kalman Filtering . . . . . . . . . . . . M. V. Kulikova
A CSF-Based CNR Approach for Small-Size Image Sequences . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . J.-X. Wang, Z.-L. Sun, X. Chen, K.-M. Lam, and Z.-G. Zeng
Distributed Bernoulli Filtering for Target Detection and Tracking Based on Arithmetic Average Fusion . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . T. Li, Z. Liu, and Q. Pan
On the Proof of Fixed-Point Convergence for Plug-and-Play ADMM . . . . . . . . . . . R. G. Gavaskar and K. N. Chaudhury
Significance of Pitch-Based Spectral Normalization for Children's Speech Recognition . . . . I. C. Yadav and G. Pradhan
A Neural Network-Based Nonlinear Acoustic Echo Canceller . . . . . . . M. M. Halimeh, C. Huemmer, and W. Kellermann
Target Detection Performance of Collocated MIMO Radar With One-Bit ADCs . . . . . . . . . . Z. Cheng, Z. He, and B. Liao
Designing Constant Modulus Complete Complementary Sequence With High Doppler Tolerance for Simultaneous
Polarimetric Radar . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . F. Wang, C. Pang, H. Wu, Y. Li, and X. Wang

www.signalprocessingsociety.org

[18]

FEBRUARY 2020

1723
1728
1733
1738
1743
1748
1753
1758
1763
1768
1773
1778
1783
1788
1793
1798
1803
1808
1812
1817
1822
1827
1832
1837
Content Gazette - February 2020

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