Content Gazette - December 2019 - 22

NOVEMBER 2019

VOLUME 26

NUMBER 11

ISPLEM

(ISSN 1070-9908)

LETTERS

Deep Learning Denoising Based Line Spectral Estimation . . . . . . . . . . . . . . . . . . . . . . Y. Jiang, H. Li, and M. Rangaswamy
Two-Directional Two-Dimensional Kernel Canonical Correlation Analysis . . . . . . . . . . . . . . . . X. Gao, S. Niu, and Q. Sun
Low-Complexity Joint 2-D DOA and TOA Estimation for Multipath OFDM Signals . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . L. Chen, W. Qi, P. Liu, E. Yuan, Y. Zhao, and G. Ding
A Risk-Aware Pairwise Rank Learning Approach for Visual Discomfort Prediction of Stereoscopic 3D . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Q. Jiang, F. Shao, W. Gao, H. Li, and Y.-S. Ho
Edge-Guided Output Adaptor: Highly Efficient Adaptation Module for Cross-Vendor Medical Image Segmentation . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . W. Yan, Y. Wang, M. Xia, and Q. Tao
Automatically Extract Semi-Transparent Motion-Blurred Hand From a Single Image . . . . . . . . . . . . . . X. Zhao and Y. Wu
Orthogonality Deficiency of Massive MIMO Channels: Distribution and Relationship With Performance . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Y. Kong, X. Ma, and J. Lu
Joint Power Allocation for Radar and Communication Co-Existence . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . F. Wang and H. Li
Aggregate Tracklet Appearance Features for Multi-Object Tracking . . . . . . . . . . . L. Chen, H. Ai, R. Chen, and Z. Zhuang
Learning Object Scale With Click Supervision for Object Detection . . . . . . . . . L. Zhang, Y. Yan, L. Cheng, and H. Wang
Spatial Smoothing PAST Algorithm for DOA Tracking Using Difference Coarray . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Z. Zheng, Y. Huang, W.-Q. Wang, and H. C. So
Deep Clustering via Weighted k-Subspace Network . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . W. Huang, M. Yin, J. Li, and S. Xie
Action Machine: Toward Person-Centric Action Recognition in Videos . . . J. Zhu, W. Zou, Z. Zhu, L. Xu, and G. Huang
Coherence Statistics of Structured Random Ensembles and Support Detection Bounds for OMP . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Q. Duan, T. Kim, L. Dai, and E. Perrins
Independent-Variation Matrix Factorization With Application to Energy Disaggregation . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . S. Henriet, U. S¸ims¸ekli, S. D. Santos, B. Fuentes, and G. Richard
Joint Design of Transmit and Receive Beamforming for Transmit Subaperturing MIMO Radar . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . J. Zhou, H. Li, and W. Cui
Sensitivity in Tensor Decomposition . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . P. Tichavsk´y, A.-H. Phan, and A. Cichocki
Adaptive Beam Tracking With the Unscented Kalman Filter for Millimeter Wave Communication . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . S. G. Larew and D. J. Love
On Destination Prediction Based on Markov Bridging Distributions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . J. Liang, B. I. Ahmad, R. Gan, P. Langdon, R. Hardy, and S. Godsill
ConflictNET: End-to-End Learning for Speech-Based Conflict Intensity Estimation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . V. Rajan, A. Brutti, and A. Cavallaro
A Fast and Robust Algorithm for Orientation Estimation Using Inertial Sensors . . . . . . . . . . . . . . . M. Kok and T. B. Sch¨on
Cooperative Rate Splitting for MISO Broadcast Channel With User Relaying, and Performance Benefits Over Cooperative
NOMA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . J. Zhang, B. Clerckx, J. Ge, and Y. Mao
Probabilistic Time of Arrival Localization . . . . . . . . . . . . . . . . . . F. P´erez-Cruz, P. M. Olmos, M. M. Zhang, and H. Huang
Deep Convolution Network for Direction of Arrival Estimation With Sparse Prior . . . L. Wu, Z.-M. Liu, and Z.-T. Huang
A Class of IIR Filters Synthesized Using Frequency-Response Masking Technique . . . . Q. Liu, Yong C. Lim, and Z. Lin
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Content Gazette - December 2019

Table of Contents for the Digital Edition of Content Gazette - December 2019
