Name
Abstract | ||
|---|---|---|
A rectangular-window sidelobe magnitude reduction method by widening the main lobe width was proposed by Saramäki. A technique for trading off main lobe width against sidelobe magnitude for any arbitrary window was reported by Lim et al.; a fast convergence algorithm for its implementation was proposed by the same authors in another article, where the derivatives of the window function are expressed in Chebyshev polynomials which have high arithmetic complexity. All the coefficients of a rectangular-window are equal; this special property is exploited, in this paper, for deriving the window function’s derivatives without the use of Chebyshev polynomials resulting in a great reduction in the arithmetic complexity. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/LSP.2022.3141309 | IEEE Signal Processing Letters |
Keywords | DocType | Volume |
Scaled rectangular (Saramäki) window,sidelobe magnitude,main lobe width,main lobe sidelobe tradeoff | Journal | 29 |
ISSN | Citations | PageRank |
1070-9908 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yong Ching Lim | 1 | 424 | 77.44 |
| Qinglai Liu | 2 | 1 | 2.08 |
| Paulo S. R. Diniz | 3 | 0 | 0.34 |
| Tapio Saramaki | 4 | 206 | 28.51 |