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: Mobile crowd sensing (MCS) has emerged as a promising sensing paradigm with the widespread adoption of smartphones. However, one of the key bottlenecks in MCS lies in the high sensing cost ...
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