High-throughput photonic time-stretch optical coherence tomography with data compression
Photonic time stretch enables real-time high-throughput optical coherence tomography
(OCT), but with massive data volume being a real challenge. In this paper, data compression …
(OCT), but with massive data volume being a real challenge. In this paper, data compression …
Noise reduction of swept-source optical coherence tomography via compressed sensing
In this paper, we investigate noise reduction in swept-source optical coherence tomography
(OCT) using compressed sensing (CS). Multiple scan averaging is a classical method used …
(OCT) using compressed sensing (CS). Multiple scan averaging is a classical method used …
Optical coherence tomography using physical domain data compression to achieve MHz A-scan rates
The three-dimensional volumetric imaging capability of optical coherence tomography
(OCT) leads to the generation of large amounts of data, which necessitates high speed …
(OCT) leads to the generation of large amounts of data, which necessitates high speed …
High-speed compressive measurement using a time-lens spectral shaper
High-Speed Compressive Measurement using a Time-Lens Spectral Shaper Page 1 JTh2A.123.pdf
CLEO 2017 © OSA 2017 High-Speed Compressive Measurement using a Time-Lens Spectral …
CLEO 2017 © OSA 2017 High-Speed Compressive Measurement using a Time-Lens Spectral …
[PDF][PDF] Collaborative Regression and Classification via Bootstrap**
L Liu - 2019 - jscholarship.library.jhu.edu
In modern machine learning problems and applications, we deal with vast quantities of data
that are often high dimensional, making data analysis time-consuming and computationally …
that are often high dimensional, making data analysis time-consuming and computationally …