Efficient Design of Scaled Rectangular (Saramäki) Window

Yong Lim, Qinglai Liu, Paulo S.R. Diniz, Tapio Saramäki

Research output: Contribution to journalArticleScientificpeer-review


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 languageEnglish
Pages (from-to)489 - 492
Number of pages5
JournalIEEE Signal Processing Letters
Publication statusPublished - 7 Jan 2022
Publication typeA1 Journal article-refereed


  • 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


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