Three-level delta modulation with second- order prediction for Gaussian source coding

Zoran Peric, Bojan Denic*, Vladimir Despotovic

*Corresponding author for this work

Research output: Contribution to journalArticleResearchpeer-review

3 Citations (Scopus)


An adaptive three-level delta modulation with a switched second-order linear prediction is proposed in this paper, intended for encoding the time-varying signals modeled by Gaussian distribution. The input signal is processed frameby- frame, and the adaptation of the quantizer is performed at the frame level. The signal at the output of quantizer is further processed using variable length encoder to decrease the bit rate. The performance is tested in speech coding, showing that the proposed algorithm provides much wider dynamic range and attains higher Signal to Noise Ratio with respect to the baselines, including CFDM, CVSDM and 2-bit Adaptive Delta Modulation.

Original languageEnglish
Pages (from-to)125-130
Number of pages6
JournalAdvances in Electrical and Computer Engineering
Issue number3
Publication statusPublished - 1 Aug 2018
Externally publishedYes


  • Delta modulation
  • Huffman coding
  • Predictive coding
  • Signal to noise ratio
  • Speech coding


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