Kalman Filtered Compressive Sensing Using Pseudo-Measurements.

Haibin Zhao Christopher Funk Benjamin Noack Uwe D. Hanebeck Michael Beigl

Published in: MFI (2021)

Keyphrases

compressive sensing
image recovery
random projections
sparse representation
compressive sampling
signal reconstruction
structured sparsity
signal processing
image representation
dead reckoning
distributed source coding
feature vectors
least squares
information retrieval systems
group sparsity