Reference : An efficient two-digit adaptive delta modulation for Laplacian source coding
Scientific journals : Article
Engineering, computing & technology : Computer science
http://hdl.handle.net/10993/40756
An efficient two-digit adaptive delta modulation for Laplacian source coding
English
Peric, Zoran mailto [University of Nis > Faculty of Electronic Engineering]
Denic, Bojan mailto [University of Nis > Faculty of Electronic Engineering]
Despotovic, Vladimir mailto [University of Belgrade > Technical Faculty in Bor]
Mar-2019
International Journal of Electronics
Taylor & Francis
106
7
1085-1100
Yes
International
0020-7217
1362-3060
United Kingdom
[en] Delta modulation ; predictive coding ; speech coding ; Laplacian source
[en] Delta Modulation (DM) is a simple waveform coding algorithm used mostly when timely data delivery is more important than the transmitted data quality. While the implementation of DM is fairly simple and inexpensive, it suffers from several limitations, such as slope overload and granular noise, which can be overcome using Adaptive Delta Modulation (ADM). This paper presents novel 2-digit ADM with six-level quantization using variable-length coding, for encoding the time-varying signals modelled by Laplacian distribution. Two variants of quantizer are employed, distortion-constrained quantizer which is optimally designed for minimal mean-squared error (MSE), and rate-constrained quantizer, which is suboptimal in the minimal MSE sense, but enables minimal loss in SQNR for the target bit rate. Experimental results using real speech signal are provided, indicating that the proposed configuration outperforms the baseline ADM algorithms, including Constant Factor Delta Modulation (CFDM), Continuously Variable Slope Delta Modulation (CVSDM), 2-digit and 2-bit ADM, and operates in a much wider dynamic range.
Ministry of Education, Science and Technological Development of the Republic of Serbia
http://hdl.handle.net/10993/40756
10.1080/00207217.2019.1582707
https://www.tandfonline.com/doi/abs/10.1080/00207217.2019.1582707

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