NDLI: Design of forward adaptive hybrid quantiser with Golomb–Rice code for compression of Gaussian source

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Design of forward adaptive hybrid quantiser with Golomb–Rice code for compression of Gaussian source

Content Provider	IET Digital Library
Author	Perić, Zoran H. Nikolić, Jelena R. Mosić, Aleksandar V.
Abstract	This study proposes a novel model of hybrid quantiser composed of a uniform scalar quantiser and a non-uniform optimal companding scalar quantiser, both designed for a Gaussian source. We examine whether by appropriately designing a novel forward adaptive hybrid quantiser with Golomb–Rice code, one can achieve more sophisticated compression and a higher signal to quantisation noise ratio compared with the uniform quantiser with Golomb–Rice code. We observe which value of the bit rate should be chosen to provide high-quality quantisation. It is shown that the authors compression model can satisfy G.712 recommendation for high-quality quantisation achieving the compression of 1.68 bit/sample over the G.711 quantiser. In addition, for the average bit rate of 6.32 bit/sample their hybrid quantiser outperforms the uniform quantiser for 1.32 dB. The presented performances of the forward adaptive hybrid quantiser indicate that it should be of theoretical and practical significance in quantisation of the Gaussian source signals.
Starting Page	372
Ending Page	377
Page Count	6
ISSN	17518628
Volume Number	8
e-ISSN	17518636
Issue Number	Issue 3, Feb (2014)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/8/3
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2012.0791
Journal	IET Communications
Publisher Date	2014-01-08
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Code Data Compression Forward Adaptive Hybrid Quantiser Forward Adaptive Hybrid Quantiser Design G.712 Gaussian Processes Gaussian Source Gaussian Source Compression Gaussian Source Signal Golombâ€“Rice Code Nonuniform Optimal Companding Scalar Quantiser Quantisation (signal) Signal Processing And Detection Signal Processing Theory Signal to Quantisation Noise Ratio Statistics
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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