An efficient method for modeling and evaluating quantization effects on Gaussian signals

João Guerreiro, Rui Dinis, Paulo Montezuma

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The quantization of sampled Gaussian signals arises naturally in a wide range of digital signal processing scenarios. Since the quantization characteristic has many discontinuities, it is difficult to make accurate polynomial of it. Therefore, the analytical evaluation of quantization effects is in general difficult. In this paper we present a simple, yet accurate, method for the analytical study and efficient simulation of quantization effects on sampled Gaussian signals. Our approach is to define an equivalent polynomial characteristic with a relatively low number of terms that produces the same spectral effects on Gaussian signals as the quantizing characteristic. As an example, we employ our method for the performance evaluation of quantization effects on multicarrier signals. Our results show that our approach is very efficient, even for oversampled signals.

Original languageEnglish
Title of host publicationProceedings of the IASTED International Conference Modelling, Identification and Control, MIC 2015
PublisherACTA Press
Pages147-152
Number of pages6
ISBN (Electronic)978-088986975-2
DOIs
Publication statusPublished - 1 Jan 2015
Event2015 IASTED International Conference on Modelling, Identification and Control, MIC 2015 - Innsbruck, Austria
Duration: 16 Feb 201517 Feb 2015

Conference

Conference2015 IASTED International Conference on Modelling, Identification and Control, MIC 2015
CountryAustria
CityInnsbruck
Period16/02/1517/02/15

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Keywords

  • Gaussian signals
  • Modeling and simulation
  • Optimization
  • Quantization

Cite this

Guerreiro, J., Dinis, R., & Montezuma, P. (2015). An efficient method for modeling and evaluating quantization effects on Gaussian signals. In Proceedings of the IASTED International Conference Modelling, Identification and Control, MIC 2015 (pp. 147-152). ACTA Press. https://doi.org/10.2316/P.2015.826-005