Name
Abstract | ||
|---|---|---|
The current study investigates an unevenly spaced spectrum using a least square method. The well known Lomb periodogram approach has many benefits, yet it cannot resolve positive and negative frequencies. Using a modified scheme, positive and negative frequencies were discerned without losing any of the benefits of a Lomb periodogram. One of the properties of the periodogram approach is the relationship between the coefficients, i.e., the Hilbert transformation pair. By utilizing this property, the processing time was reduced by half. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1016/j.dsp.2004.09.004 | Digital Signal Processing |
Keywords | Field | DocType |
periodogram approach,modified scheme,least square method,square method,nonuniformly spaced data,negative frequency,lomb periodogram,spectral analysis,current study,processing time,hilbert transformation pair,periodogram,lomb periodogram approach,hilbert transform,unevenly spaced spectrum,unevenly sampled spectrum,spectrum | Least squares,Pattern recognition,Mathematical analysis,Algorithm,Welch's method,Periodogram,Artificial intelligence,Hilbert transform,Spectral analysis,Least-squares spectral analysis,Mathematics | Journal |
Volume | Issue | ISSN |
15 | 1 | Digital Signal Processing |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jinhwan Koh | 1 | 0 | 2.70 |
| Sarkar, T.K. | 2 | 471 | 117.33 |