Quantization errors in overlapped block digital filtering methods

Mustafa Daloglu, Erchin Serpedin

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

In digital signal processing applications involving filtering long sequences, block filtering methods like overlapsave and overlap-add are widely used. Like all finite-precision applications, overlap-save and overlap-add methods are also affected by quantization errors. The goal of this paper is to calculate and make a quantitative comparison of the overall quantization noise resulting from the two methods in terms of power (variance) of the quantization noise. Multiple quantization noise sources are taken into consideration in the computation of the variances. The calculations reveal that the overlap-add approach is more prone to quantization noise compared to the overlap-save approach due to the addition of overlapping sections between overlap-add output blocks.

Original languageEnglish
Pages (from-to)117-122
Number of pages6
JournalAdvanced International Conference on Telecommunications, AICT
Volume2013-January
Issue numberJanuary
Publication statusPublished - 2013
Externally publishedYes

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Quantization (signal)
Digital signal processing

Keywords

  • Block filter
  • Overlap-add
  • Overlap-save
  • Quantization noise

ASJC Scopus subject areas

  • Computer Networks and Communications

Cite this

Quantization errors in overlapped block digital filtering methods. / Daloglu, Mustafa; Serpedin, Erchin.

In: Advanced International Conference on Telecommunications, AICT, Vol. 2013-January, No. January, 2013, p. 117-122.

Research output: Contribution to journalArticle

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