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Three-Level Delta Modulation for Laplacian Source CodingDENIC, B., PERIC, Z. , DESPOTOVIC, V.
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delta modulation, Huffman coding, predictive coding, signal to noise ratio, speech coding
speech(10), processing(7), delta(7), coding(7), signal(5), recommendation(4), quantization(4), design(4), adaptive(4)
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About this article
Date of Publication: 2017-02-28
Volume 17, Issue 1, Year 2017, On page(s): 95 - 102
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2017.01014
Web of Science Accession Number: 000396335900014
SCOPUS ID: 85014257330
This paper proposes a novel solution for coding of time varying signals with Laplacian distribution, which is based on delta modulation and three-level quantization. It upgrades the conventional scheme by introducing the quantizer with variable length code. Forward adaptive scheme is used, where the adaptation to the signal variance is performed on frame-by-frame basis. We employ configurations with simple fixed first-order predictor and switched first-order predictor utilizing correlation. Furthermore, we propose different methods for optimizing predictor coefficients. The configurations are tested on speech signal and compared to an adaptive two-level and four-level delta modulation, showing that proposed three-level delta modulation offers performance comparable to a four-level baseline with significant savings in bit rate.
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 Three-Level Delta Modulation with Second-Order Prediction for Gaussian Source Coding, PERIC, Z., DENIC, B., DESPOTOVIC, V., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 3, Volume 18, 2018.
Digital Object Identifier: 10.4316/AECE.2018.03017 [CrossRef] [Full text]
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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