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 |
|---|---|
| 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 |
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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
Cite this
Switched nonuniform and piecewise uniform scalar quantization of Laplacian source. / Mosić, Aleksandar V.; Perić, Zoran H.; Panić, Stefan R.
In: International Journal of Computers, Communications and Control, Vol. 7, No. 1, 01.01.2012, p. 115-122.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Switched nonuniform and piecewise uniform scalar quantization of Laplacian source
AU - Mosić, Aleksandar V.
AU - Perić, Zoran H.
AU - Panić, Stefan R.
PY - 2012/1/1
Y1 - 2012/1/1
N2 - 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.
AB - 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.
KW - Laplacian source
KW - Switching quantization
KW - Variance adaptation
KW - μ-Law companding
UR - http://www.scopus.com/inward/record.url?scp=84855732812&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84855732812&partnerID=8YFLogxK
U2 - 10.15837/ijccc.2012.1.1427
DO - 10.15837/ijccc.2012.1.1427
M3 - Article
VL - 7
SP - 115
EP - 122
JO - International Journal of Computers, Communications and Control
JF - International Journal of Computers, Communications and Control
SN - 1841-9836
IS - 1
ER -