Sparse Signal Acquisition via Compressed Sensing and Principal Component Analysis
This paper presents a way of acquiring a sparse signal by taking only a limited number of samples; sampling and compression are performed in one step by the analog to information conversion. The signal is recovered with minimal information loss from the reduced data record via compressed sensing rec...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2018-10-01
|
| Series: | Measurement Science Review |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/msr-2018-0025 |