Signal acquisition based on compressive sensing can be more efficient than traditional sampling for sparse or compressible signals. This method captures and represents signals at a rate significantly below the Nyquist rate and employs nonadaptive linear projections preserving signal structure. Then, the signal is reconstructed using an optimization technique. The least squares optimization used is inadequate for signal reconstruction, and other types of convex optimization must be invoked.
ASJC Scopus subject areas
- Signal Processing
- Electrical and Electronic Engineering
- Applied Mathematics