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These m i 's are called the order components of G.
These m i s were called the order components of G by the second author, who proved a lot of finite simple groups can be uniquely determined by their order components (ref. to [2]).
With the approach, accurate order analysis results can be obtained and the waveforms of the order components of interest can be reconstructed or extracted from the recorded noisy data series.
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The set of order components of G is denoted as OC ( G ) = { m 1, m 2, …, m t ( G ) }.
The feature is related to the time constant of the first order component of the signal and it is used to predict the thickness of ferromagnetic plates.
Proof By [1, 14, 15] and the definition of order component, we easily get order components of G in Tables 1-3.
Due to the nonlinear loads, the currents flowing to the main bus contain harmonics, and (2) can be rewritten as: i_{G} = sumlimits_{h = 1}^{n} {i_{Gh} } = sumlimits_{k = 1}^{m} {sumlimits_{h = 1}^{n} {i_{kh} } } (3)where i kh is the h th order component of the current flowing from k th sub-bus to the main bus.
Although inconsistent with McNally's hypothesis, some significant findings were found when the lower-order components of AS (i.e., fears of physical, psychological, and publicly observable symptoms of anxiety) were examined.
This can be explained by the fact that, when developing the algorithm, the third-order component of the signal (x_{q,ip3}(n) = x_{q}^{IQ}(n)|x_{q}^{IQ}(n)|^{2}) is approximated by x q (n)|x q (n)|2 to simplify the algorithm.
The OS-SIM image was calculated as the modulus of the first-order component of the Fourier transform with respect to the phase variable.
Picciuto (2011) points out, however, that Kriegel's form of self-representational theory still permits a mis-match between the first-order and higher-order components of the integrated state.
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