SS-L11.5
ORTHOGONAL APPROXIMATE MESSAGE PASSING ALGORITHMS FOR RECTANGULAR SPIKED MATRIX MODELS WITH ROTATIONALLY INVARIANT NOISE
Haohua Chen, Academy of Mathematics and Systems Science, China; Songbin Liu, Columbia University, United States of America; Junjie Ma, Academy of Mathematics and Systems Science, China
Session:
SS-L11: Large-Dimensional Structures and Methods for Signal Processing, Communication, and Machine Learning Oral
Track:
Special Sessions
Location:
Room 116
Presentation Time:
Thu, 7 May, 15:20 - 15:40
Session Chair:
Zhenyu Liao, Huazhong University of Science and Technology
Session SS-L11
SS-L11.1: INCORPORATING PRIORS IN LEARNING: A RANDOM MATRIX STUDY UNDER A TEACHER–STUDENT FRAMEWORK
MALIK TIOMOKO, Huawei Technologies, France; Ekkehard Schnoor, Aalto University, Finland
SS-L11.2: ORTHOGONAL APPROXIMATE MESSAGE-PASSING FOR SUBLINEAR SPARSITY
Keigo Takeuchi, Toyohashi University of Technology, Japan
SS-L11.3: Whitening Spherical Gaussian Mixtures in the Large-Dimensional Regime
Mohammed Racim Moussa Boudjemaa, Université de Toulouse, France; Alper Kalle, CEA, France; Xiaoyi Mai, Université de Toulouse - Jean Jaurès, France; José Henrique de Morais Goulart, Toulouse INP, France; Cédric Févotte, CNRS, France
SS-L11.4: AN IMPROVED CONVERGENCE ANALYSIS OF GOSSIP METHODS FOR LARGE RANDOM GRAPHS
Yue Xu, Zhenyu Liao, Huazhong University of Science and Technology, China
SS-L11.5: ORTHOGONAL APPROXIMATE MESSAGE PASSING ALGORITHMS FOR RECTANGULAR SPIKED MATRIX MODELS WITH ROTATIONALLY INVARIANT NOISE
Haohua Chen, Academy of Mathematics and Systems Science, China; Songbin Liu, Columbia University, United States of America; Junjie Ma, Academy of Mathematics and Systems Science, China
SS-L11.6: ONE-BIT QUANTIZED PRECODER CHARACTERIZATION AND PARAMETER OPTIMIZATION IN MASSIVE MIMO SYSTEMS
Xiuxiu Ma, Abla Kammoun, Tareq Y. Al-Naffouri, King Abdullah University of Science and Technology, Saudi Arabia
Contacts