Novel two-bit adaptive delta modulation algorithms

Zoran Peric, Bojan Denic*, Vladimir Despotovic

*Corresponding author for this work

Research output: Contribution to journalArticleResearchpeer-review

4 Citations (Scopus)

Abstract

This paper introduces two novel algorithms for the 2-bit adaptive delta modulation, namely 2-bit hybrid adaptive delta modulation and 2-bit optimal adaptive delta modulation. In 2-bit hybrid adaptive delta modulation, the adaptation is performed both at the frame level and the sample level, where the estimated variance is used to determine the initial quantization step size. In the latter algorithm, the estimated variance is used to scale the quantizer codebook optimally designed assuming Laplace distribution of the input signal. The algorithms are tested using speech signal and compared to constant factor delta modulation, continuously variable slope delta modulation and instantaneously adaptive 2-bit delta modulation, showing that the proposed algorithms offer higher performance and significantly wider dynamic range.

Original languageEnglish
Pages (from-to)117-134
Number of pages18
JournalInformatica
Volume30
Issue number1
DOIs
Publication statusPublished - 2019
Externally publishedYes

Keywords

  • delta modulation
  • Laplacian source
  • predictive coding
  • signal to noise ratio
  • speech coding

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