@article{bb1611a98c6844a18e10cbe852fdc3be,
title = "Three-level delta modulation with second- order prediction for Gaussian source coding",
abstract = "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.",
keywords = "Delta modulation, Huffman coding, Predictive coding, Signal to noise ratio, Speech coding",
author = "Zoran Peric and Bojan Denic and Vladimir Despotovic",
note = "Funding Information: This work was supported in part by the Ministry of [18] A. Ortega, M.Vetterly, “Adaptive scalarquantization without side Informatica, vol. 19, archiveno. 2, pp. 255–270, 2008. Education and Science of the Republic of Serbia, grant no. information,” IEEE Trans. on Image Processing, vol. 6, no. 5, pp. TR32035 and TR32051 within the Technological [19]V. Despotovic, Z. Peric, L.Velimirovic, V.Delic, “DPCM with665–676, 1997. doi:10.1109/83.568924 Development Program. forward gain-adaptive quantizer and simple switched predictor for high quality speech signals,” Advances in Electrical and Computer REFERENCES Engineering, vol. 10, no. 4, pp. 95–98, 2010. doi: 10.4316/aece.2010.04015 N. S. Jayant, P. Noll, Digital Coding of Waveforms. New Jersey,not [20] S. Gazor, W. Zhang, “Speech probability distribution,” IEEE Signal Prentice Hall, Chapter 4, pp. 115-188, Chapter 8, pp. 372-417, 1984. Process. Letters, vol. 10, no. 7, pp. 204 – 207, 2003. doi: [2] K. Sayood, Introduction to Data Compression. San Francisco, 10.1109/LSP.2003.813679 Elsevier Science, Chapter 9, pp. 227-270, 2005. [21] J. Nikolic, Z. Peric, A. Jovanovic, “Novel approximations for the Q-W. C. ChuP, Spreeechv Cioedinwg A lgorithms: Foundation and Evolution of function with application in SQNR calculation,” Digital Signal Standardized Coders. John Wiley & Sons, New Jersey, Chapter 5, pp. Processing, vol. 65, pp. 71–80, 2017. doi: 10.1016/j.dsp.2017.03 Funding Information: 1This work was supported in part by the by the Ministry of Education and Science of the Republic of Serbia, grant no. TR32051 and TR32035, within the Technological Development Program. Publisher Copyright: {\textcopyright} 2018 University of Suceava.",
year = "2018",
month = aug,
day = "1",
doi = "10.4316/AECE.2018.03017",
language = "English",
volume = "18",
pages = "125--130",
journal = "Advances in Electrical and Computer Engineering",
issn = "1582-7445",
publisher = "University of Suceava",
number = "3",
}