Switched Nonuniform and Piecewise Uniform Scalar Quantization of Laplacian Source
Keywords:
switching quantization, μ-law companding, variance adaptation, Laplacian sourceAbstract
In this paper switched nonuniform and piecewise uniform scalar quantization of Laplacian source are analyzed. This scalar quantization techniques are used in order to obtain higher signal quality by increasing signal-to-quantization noise ratio (SNRQ) with respect to it’s necessary robustness over a broad range of input variances in a wide range of signal volumes. We observe μ-law compandor implementation to achieve compromise between high-rate digitalization and variance adaptation. The main contribution of this model is kipping almost the same quality as the nonuniform compandor model, with simpler realization structure and the possibility of it’s applying for digitalization of wide range continuous signals.
References
R. Gray, Quantization and Data Compression, Lecture Notes, Stanford University, 2004.
D. Hankerson, G. A. Harris, P. D. Jr. Johnson, Introduction information theory and data ompression, 2nd Ed., CHAPMAN & HALL/CRC, 2004.
ITU-T, Recommendation G.711, Pulse Code Modulation (PCM) of Voice Frequencies, nternational Telecommunication Union, 1972.
N. S.Jayant, P. Noll, Digital Coding of Waveforms, Prentice-Hall, New Jersey, 1984.
Z. H. Perić, I. Djordjević, M. Stefanović, S. Bogosavljević, Combined Source and Channel oding of Speech Signal in Wide Volume Range, Proceedings of the IASTED, Las Vegas, evada, USA, 1998.
Z. H. Perić, Quantization Optimizations of Speech Signal in Wide Volume Range, Electroniccs nd Electrical Engineering, Vol.45, pp.41-48, 2003.
Z. H. Perić, J. Nikolić, An effective method for initialization of Lloyd-Max's algorithm f optimal scalar quantization for Laplacian source, Informatica, Vol.18, pp.1-10, 2007.
Z. H. Perić, A. V. Mosić, S. R. Panić, Robust and switched nonuniform scalar quantization f Gaussian source in a wide dynamic range of power, Journal of Communications echnology and Electronics, AVT Journal, Vol.6, pp.74-84, 2008.
Z. H. Perić, A. V. Mosić, S. R. Panić, Coding Algorithm Based on Loss Compression sing Scalar Quantization Switching Technique and Logarithmic Companding, Journal f Information Science and Engineering, Vol.26, pp.967-976, 2010.
K. Sayood, Introduction to data Compression, 3rd Ed., Elsevier Inc, 2006.
Published
Issue
Section
License
ONLINE OPEN ACCES: Acces to full text of each article and each issue are allowed for free in respect of Attribution-NonCommercial 4.0 International (CC BY-NC 4.0.
You are free to:
-Share: copy and redistribute the material in any medium or format;
-Adapt: remix, transform, and build upon the material.
The licensor cannot revoke these freedoms as long as you follow the license terms.
DISCLAIMER: The author(s) of each article appearing in International Journal of Computers Communications & Control is/are solely responsible for the content thereof; the publication of an article shall not constitute or be deemed to constitute any representation by the Editors or Agora University Press that the data presented therein are original, correct or sufficient to support the conclusions reached or that the experiment design or methodology is adequate.
