Affiliations: [1] University of Niš, Faculty of Electronic Engineering, Aleksandra Medvedeva 14, 18000 Niš, Serbia | [2] University of Belgrade, Technical Faculty in Bor, Vojske Jugoslavije 12, 19210, Bor, Serbia. E-mails: [email protected], [email protected], [email protected]
Correspondence:
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Corresponding author.
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.
Keywords: delta modulation, predictive coding, speech coding, signal to noise ratio, Laplacian source
Journal: Informatica, vol. 30, no. 1, pp. 117-134, 2019
