Abstract
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.
Original language | English |
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Pages (from-to) | 115-122 |
Number of pages | 8 |
Journal | International Journal of Computers, Communications and Control |
Volume | 7 |
Issue number | 1 |
DOIs | |
Publication status | Published - 1 Jan 2012 |
Externally published | Yes |
Keywords
- Laplacian source
- Switching quantization
- Variance adaptation
- μ-Law companding
ASJC Scopus subject areas
- Computer Science Applications
- Computer Networks and Communications
- Computational Theory and Mathematics