Sparse identification of nonlinear dynamical systems is an important project, directly addressing the physics community’s long-standing goal of data-driven discovery. Although many effective methods ...

SpaSM is a software library devoted to sparse gaussian elimination modulo a small prime p. It is available under the General Public License Version 3 or later (GPLv3+). This is "research-quality" ...

Abstract: A turbo-decoding message-passing (TDMP) algorithm for sparse parity-check matrix (SPCM) codes such as low-density parity-check, repeat-accumulate, and turbo-like codes is presented. The main ...

Graph convolutional network (GCN) has been successfully applied to many graph-based applications; however, training a large-scale GCN remains challenging. Current SGD-based algorithms suffer from ...

One way to gain higher throughput in 5G NR systems is to start with a Simulink model—a tool that can perform architectural analysis and multidomain simulation in hybrid-beamforming applications. We ...

Abstract: We propose an algorithm for estimating correlation matrix of mmWave channels. In addition to being sparse in angular/spatial domain, mmWave channel is commonly assumed to be time-invariant ...

Hierarchical temporal memory (HTM) provides a theoretical framework that models several key computational principles of the neocortex. In this paper, we analyze an important component of HTM, the HTM ...

School of Mathematics and Statistics, Hainan Normal University, Haikou, China. and Candès and Recht [5] proved that under suitable conditions, the program (1) and (2) are formally equivalent in the ...