Abstract
A rectangular-window sidelobe magnitude reduction method by widening the main lobe width was proposed in [1]. In [2], a technique for trading off main lobe width against sidelobe magnitude for any arbitrary window was reported; a fast convergence algorithm for its implementation was proposed in [3]. In [3], 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 functions derivatives without the use of Chebyshev polynomials resulting in a great reduction in the arithmetic complexity.
Original language | English |
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Pages (from-to) | 489 - 492 |
Number of pages | 5 |
Journal | IEEE Signal Processing Letters |
Volume | 29 |
DOIs | |
Publication status | Published - 7 Jan 2022 |
Publication type | A1 Journal article-refereed |
Keywords
- main lobe sidelobe tradeoff
- main lobe width
- Scaled rectangular (Saramaki) window
- sidelobe magnitude
Publication forum classification
- Publication forum level 2
ASJC Scopus subject areas
- Signal Processing
- Electrical and Electronic Engineering
- Applied Mathematics