On the Error Probability of Support Recovery for Orthogonal Matching Pursuit With a Random Measurement Matrix
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DOI: 10.1109/access.2020.2995912
Abstract: In this paper, an asymptotic bound on the recovery error probability of a sparse signal is derived for the orthogonal matching pursuit algorithm. The proposed bound is based on the support recovery analysis with a… read more here.
Keywords: error probability; orthogonal matching; random measurement; support recovery ... See more keywords
Correlation-Aware Joint Support Recovery With Separation Prior
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2022.3195429
Abstract: Sparse support recovery from multiple measurement vectors (MMV) is studied in this letter. For years, a noticeable mismatch exists between the theories and algorithms in the research of super-resolution and direction-of-arrival (DOA) estimation that variants… read more here.
Keywords: support recovery; recovery; correlation aware; separation ... See more keywords
Enhanced Support Recovery for PMU Measurements Based on Taylor–Fourier Compressive Sensing Approach
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3176275
Abstract: Modern distribution networks are characterized by higher distortion and faster variability of voltages and currents. Accurate synchrophasor, frequency, and rate-of-change-of-frequency measurements thus ask for new techniques trying to reduce latency while limiting the impact of… read more here.
Keywords: enhanced support; support recovery; approach; taylor fourier ... See more keywords