Name
Abstract | ||
|---|---|---|
The problem of resolving frequency components close to the Rayleigh threshold, while using time-domain sample sequences of length not greater than N, is relevant to several waveform monitoring applications where acquisition time is upper-bounded. The paper presents a compressive sensing (CS) algorithm that enhances frequency resolution by introducing a dictionary that explicitly accounts for spectral leakage on a fine frequency grid. The proposed algorithm achieves good estimation accuracy without significantly extending total measurement time. |
Year | Venue | Keywords |
|---|---|---|
2014 | Signal Processing Conference | compressed sensing,discrete Fourier transforms,signal resolution,time-domain analysis,CS algorithm,Rayleigh threshold,acquisition time,compressive sensing algorithm,estimation accuracy,fine frequency grid,frequency components,frequency resolution,high-resolution DFT analysis,overcomplete dictionary,spectral leakage,time-domain sample sequences,total measurement time,waveform monitoring,compressive sensing,discrete Fourier transform,spectral analysis,super-resolution |
Field | DocType | ISSN |
Rayleigh scattering,Frequency resolution,Total measurement,Waveform,Acoustics,Frequency grid,Compressed sensing,Spectral leakage,Physics | Conference | 2076-1465 |
Citations | PageRank | References |
5 | 0.51 | 9 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| guglielmo frigo | 1 | 55 | 10.64 |
| Claudio Narduzzi | 2 | 138 | 20.65 |