most citedEnd-to-end Learning of Cost-Volume Aggregation for Real-time Dense Stereo

1 citations · 1 across the 2 of their papers we have counts for

collaborators
Showing astro-ph.IMShow all

1 paper · 1 filter

astro-ph.IM2019

Phase tracking based on GPGPU and applications in Planetary radio Science

Nianchuan Jian, Dmitry Mikushin, Jianguo Yan

This paper introduces a phase tracking method for planetary radio science research with computational algorithm implemented fo r NVIDIA GPUs. In contrast to the phase-locked loop (…