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We study these phenomena in simple cardiac models through a modulation equation proposed by Echebarria-Karma.
Since A t) and f(t) are expected to have random values obtained from unbounded distributions, the modulation extent has been defined as the normalized standard deviation of their values along a given voice signal: (overline {sigma }_{f}) for frequency modulation and (overline {sigma }_{A}) for amplitude modulation (Equation 7). Figure 4 shows the results of simulating respiratory tremor.
Consequently, an OFDM/CR-OQAM system that uses a CR filter g C t) can be described by the modulation equation begin{aligned} x t) =&, sum_{k=0atop minmathbb{Z}}^{K-1}left({vphantom{t-mT-frac{T}{2}}}c_{k,m}^{mathrm{R}}g^{mathrm{C}} t-mT right.&+left.{jc}_{k,m}^{mathrm{C}} t-mT right}}left(t-mT-frac{T}{2}right)right)w^{kt}, end{aligned} (18).&+left
Similar(57)
Amplitude and phase modulation equations are derived.
The effects of the position Amplitudetude of the mand, as well as effects of different end conditions on the vibrations, are determined.
The amplitude and phase modulation equations are presented.
The amplitude and phase modulation equations are derived.
The frequency-response equation is derived from the amplitude modulation equations.
The equilibrium solutions, the periodic solutions and chaotic solutions of the modulation equations are also investigated.
This set of modulation equations is studied both analytically and numerically.
The modulation equations of the amplitude and the phase are derived from the condition.
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