Detecting behavioural signatures of depression from everyday digital traces is a central challenge in computational psychiatry. Real-world datasets from smartphones and wearables often suffer from ...
Enhancing BOTDR SNR using Learned-Dictionary Sparse Reconstruction of Brillouin Gain Spectrum Matrix
Abstract: A method of enhancing signal-to-noise ratio (SNR) in Brillouin optical time domain reflectometer (BOTDR) is proposed using sparse reconstruction of the Brillouin gain spectrum (BGS) matrix.
Abstract: Aiming at the problem of weak invisible dot matrix data being interfered by the background in the process of reading, which leads to the accuracy and slow speed of the reading algorithm, and ...
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