2015 International Siberian Conference on Control and Communications (SIBCON) 2015
DOI: 10.1109/sibcon.2015.7147109
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Algorithms for processing acoustic signals in telecommunication systems by local parametric methods of analysis

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Cited by 12 publications
(2 citation statements)
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“…To account for the above equations in the automatic frequency unevenness forming the source sequence of data packets, application of adaptive control methods reference model [13,[15][16][17][18][19][20][21][22], which can be used as the above model of formation of the source data packets. In this case, instead of the frequency divider shown in Fig.…”
Section: Restoration Of the Clock Frequency Of The Sourcementioning
confidence: 99%
“…To account for the above equations in the automatic frequency unevenness forming the source sequence of data packets, application of adaptive control methods reference model [13,[15][16][17][18][19][20][21][22], which can be used as the above model of formation of the source data packets. In this case, instead of the frequency divider shown in Fig.…”
Section: Restoration Of the Clock Frequency Of The Sourcementioning
confidence: 99%
“…If, moreover, requires that the local evaluation results were represented generally smooth function that necessitates a smooth interfacing of said polynomials, the least squares problem is converted into a quadratic optimization problem with constraints in the general case, as the type of equality and inequality [4 -6]. In the considered setting, the problem of local evaluation or analysis -is the problem of recovering a continuous function or signal from discrete data, the parameters of which are the size of the intervals of data and analysis, as well as the magnitude of the shift interval analysis of data relative to the interval [4,5]. The values of these parameters significantly affect the nature of the results of the signal processing, for example, that allows them to multi-scale analysis and smoothing.…”
Section: Introductionmentioning
confidence: 99%