No abstract

[1] In this paper we propose a novel piecewise uniform scalar quantizer model designed for a Gaussian memoryless source. The segment thresholds of this quantizer model are equidistant while the number of reproduction levels inside segments is determined by optimizing the inner distortion and under the constraint of total number of reproduction levels. For the proposed quantizer model the quantization efficiency and signal to quantization noise ratio (SQNR) is studied. On the basis of the comparison with the efficiency and SQNR of uniform quantizer advantages of the proposed quantizer model are shown. Particularly, it is shown that with the proposed quantizer the correlation between the input signal and the quantization error can be eliminated more than by using the uniform quantizer as well as that the proposed quantizer provides higher level of SQNR.Citation: Velimirović, L., Z. Perić, and J. Nikolić (2012), Design of novel piecewise uniform scalar quantizer for Gaussian memoryless source, Radio Sci., 47, RS2005,

In this paper, the approximation of the optimal compressor function using spline function of the first and second degree is done. On the basis of the obtained approximate spline functions, a quantizer designing is done. The achieved SQNR is very close to that of the model of quantizer based on the nonlinear compressor function. Also, it is shown that for the medium bit rate a higher value of SQNR is achieved by using quantizer model proposed in this paper for the spline of degree 2 than by optimal compandor.

In this paper, the key performance indicators related to the smart grid efficiency, as the key factor of any energy management system implementation have been analysed. The authors are proposing multi-criteria fuzzy AHP methodology for the determination of overall smart grid efficiency. Four criteria (technology, costs, user satisfaction, and environmental protection) and seven performances (according to EU and US initiatives for analysis of benefits and effects of smart grid systems) for the selection of optimal smart grid project are defined. The analysis shows that the dominant performances of the optimal smart grid project are efficiency, security and quality of supply. The methodology is illustrated on the choice of smart grid development strategy for the medium size power distribution company.