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2 of the course of theoretical physics.
2 of the course of theoretical physics.
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succinctly describes theoretical ideas behind svm.
succinctly describes theoretical ideas behind svm.
Dernière mise à jour : 2016-03-03
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"julius wess, 72, theoretical physicist, is dead".
"julius wess, 72, theoretical physicist, is dead".
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theoretical sensitivity: advances in the methodology of grounded theory.
theoretical sensitivity: advances in the methodology of grounded theory.
Dernière mise à jour : 2016-03-03
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kozan, m. k. (۱۹۹۷) culture and conflict management: a theoretical framework.
* kozan, m. k. (1997) culture and conflict management: a theoretical framework.
Dernière mise à jour : 2016-03-03
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boak, "the theoretical basis of the deification of rulers in antiquity", in: classical journal vol.
boak, "the theoretical basis of the deification of rulers in antiquity", in: classical journal vol.
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"graph partitioning algorithms for distributing workloads of parallel computations"* an exhaustive analysis of the problem from a theoretical point of view.
"graph partitioning algorithms for distributing workloads of parallel computations"== bibliography ==* an exhaustive analysis of the problem from a theoretical point of view.
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description and theoretical analysis (using schemata) of planner, a language for proving theorems and manipulating models in a robot ai memo no.
description and theoretical analysis (using schemata) of planner, a language for proving theorems and manipulating models in a robot ai memo no.
Dernière mise à jour : 2016-03-03
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* will, c. m. (1976) active mass in relativistic gravity: theoretical interpretation of the kreuzer experiment, astrophys.
*will, c. m. (1976) active mass in relativistic gravity: theoretical interpretation of the kreuzer experiment, astrophys.
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1-11* burgin, m. algorithmic complexity of recursive and inductive algorithms, "theoretical computer science, v. 317, no.
1–11* burgin, m. "algorithmic complexity of recursive and inductive algorithms", "theoretical computer science", v. 317, no.
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a frequency estimator of sinusoid based on interpolation of three discrete fourier transform (dft) spec tral lines is proposed. the fft is performed first on the sampled sinusoid signal and the coarse frequency estimation is made by searching the location of the discrete spectral line with maximum amplitude (the primary spectral line). fine frequency estimation is made by the interpolation using the primary spec tral line and two auxiliary spectral lines located at arbitrary position within the main lobe or the first sidelobe of the frequency spectrum. the formula for calculating the mse of the proposed estimator in additive white noise is derived. the influence of the interval between the primary spectral line and the auxiliary spectral lines on the mse is analyzed through theoretical analysis and simulation experiments. to further improve the estimation performance, iterative procedures are used. simulation results show that the rmse of the proposed estimator is closer to crlb than the competing estimators especially at high snr.
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