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Three-Level Delta Modulation with Second-Order Prediction for Gaussian Source CodingPERIC, Z. , DENIC, B. , DESPOTOVIC, V.
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delta modulation, Huffman coding, predictive coding, speech coding, signal to noise ratio
coding(8), speech(6), adaptive(6), signal(5), modulation(5), delta(5), source(4)
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About this article
Date of Publication: 2018-08-31
Volume 18, Issue 3, Year 2018, On page(s): 125 - 130
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2018.03017
Web of Science Accession Number: 000442420900017
SCOPUS ID: 85052104039
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 frame-by-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.
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