Blind demixing and deconvolution at near-optimal rate

P Jung, F Krahmer, D Stöger - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
We consider simultaneous blind deconvolution of r source signals from their noisy
superposition, a problem also referred to blind demixing and deconvolution. This signal …

Blind demixing for low-latency communication

J Dong, K Yang, Y Shi - IEEE Transactions on Wireless …, 2018 - ieeexplore.ieee.org
In next-generation wireless networks, low-latency communication is critical to support
emerging diversified applications, eg, tactile Internet and virtual reality. In this paper, a novel …

Proof methods for robust low-rank matrix recovery

T Fuchs, D Gross, P Jung, F Krahmer, R Kueng… - Compressed Sensing in …, 2022 - Springer
Low-rank matrix recovery problems arise naturally as mathematical formulations of various
inverse problems, such as matrix completion, blind deconvolution, and phase retrieval. Over …

Accurately estimating PSF with straight lines detected by Hough transform

R Wang, L Xu, C Fan, Y Li - Ninth International Conference on …, 2018 - spiedigitallibrary.org
This paper presents an approach to estimating point spread function (PSF) from low
resolution (LR) images. Existing techniques usually rely on accurate detection of ending …

[PDF][PDF] Új jelút-kompenzációs eljárások

D Tamás - mit.bme.hu
Műszaki alkotások nagyon széles körében a körülöttünk lévő fizikai világot valamilyen
érzékelő/mérőrendszerrel figyeljük meg. Ezen információ birtokában hoz akár az ember …