Name
Abstract | ||
|---|---|---|
This letter presents a fast algorithm named iterative Vandermonde decomposition and shrinkage-thresholding (IVDST), which offers a low-complexity solution to atomic norm minimization (ANM) in off-grid compressed sensing for line spectral estimation from few measurements. It implements the ANM principle via the accelerated proximal gradient (APG) technique, without invoking computationally expensiv... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/LSP.2018.2870539 | IEEE Signal Processing Letters |
Keywords | Field | DocType |
Atomic measurements,Estimation,Frequency measurement,Signal processing algorithms,Matrix decomposition,Minimization,Signal resolution | Spectral density estimation,Matrix decomposition,Algorithm,Toeplitz matrix,Minification,Vandermonde matrix,Compressed sensing,Mathematics,Semidefinite programming,Computational complexity theory | Journal |
Volume | Issue | ISSN |
25 | 11 | 1070-9908 |
Citations | PageRank | References |
1 | 0.35 | 0 |
Authors | ||
2 | ||