Name
Title | ||
|---|---|---|
On the Use of Unit-Norm Tight Frames to Improve the Average MSE Performance in Compressive Sensing Applications. |
Abstract | ||
|---|---|---|
This letter considers the design of sensing matrices with good expected-case performance for compressive sensing applications. By capitalizing on the mean squared error (MSE) of the oracle estimator, whose performance has been shown to act as a benchmark to the performance of standard sparse recovery algorithms, we demonstrate that a unit-norm tight frame is the closest design-in the Frobenius nor... |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/LSP.2011.2173675 | IEEE Signal Processing Letters |
Keywords | Field | DocType |
Sensors,Vectors,Sparse matrices,Optimization,Algorithm design and analysis,Matching pursuit algorithms,Minimization | Matching pursuit,Mathematical optimization,Matrix (mathematics),Mean squared error,Basis pursuit,Matrix norm,Compressed sensing,Sparse matrix,Mathematics,Estimator | Journal |
Volume | Issue | ISSN |
19 | 1 | 1070-9908 |
Citations | PageRank | References |
22 | 0.90 | 11 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wei Chen | 1 | 22 | 0.90 |
| Miguel R. D. Rodrigues | 2 | 1500 | 111.23 |
| Ian J. Wassell | 3 | 288 | 35.10 |