A variance-based ordering of the Walsh-Hadamard sampling basis for compressive sensing outperforms standard orderings, enabling successful chemical detection at 90% compression and over 30% PSNR improvement on depth images.
The adaptive coherence estimator for detection in wind turbine clutter,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.SP 1years
2019 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
A data-driven approach to sampling matrix selection for compressive sensing
A variance-based ordering of the Walsh-Hadamard sampling basis for compressive sensing outperforms standard orderings, enabling successful chemical detection at 90% compression and over 30% PSNR improvement on depth images.