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These channel models contain the class of channel models studied in [8] as a special case.
Since all model parameters are constants, there is no meaning to examine the stationary and ergodic properties of this class of channel simulators.
The mean m μ ̂ ( t ) of this class of channel simulators is given by m μ ̂ ( t ) = m c r μμ ( t ) 2 σ μ 2 ∑ n = 1 N e j θ n. (37).
For this class of channel simulators, it is straightforward to show that the mean m μ ̂ ( t ) of the stochastic process μ ̂ ( t ) is constant and equal to zero, i.e., m μ ̂ = 0. From (38), we can easily obtain the ACF r μ ̂ μ ̂ for this class of channel simulators by taking into account the random characteristics of the phases θ n, i.e., r μ ̂ μ ̂ = N ( σ c 2 + m c 2 ) 2 σ 0 2 r μμ.
From the equation above, it follows that the ACF r μ ̂ μ ̂ ( t 1, t 2 ) depends only on the time difference τ=t2−t1 if we impose on this class of channel simulators any of the boundary conditions m c =0 or (27).
This class of channel simulators involves all stochastic processes ζ ̂ ( t ) = | μ ̂ ( t ) | with random gains c n, random frequencies f n, and constant phases θ n, i.e., μ ̂ ( t ) = ∑ n = 1 N c n e j ( 2 π f n t + θ n ).
Similar(52)
Thus, we elucidate a steric inhibition mechanism for this important class of channels by mercury.
Potassium current in cells tuned to low frequencies was carried by a single class of channels with an apparent affinity constant, K1, for TEA of 35.9 mM.
Despite this progress, to date, no high-resolution structure of a CNG channel in the closed and unliganded state is available, and therefore, the precise mechanism of ligand-mediated activation for this class of channels remains unknown.
In cells tuned to higher frequencies, K+ current was carried by a single class of channels with high affinity for TEA (K1 = 0.215 mM) and low affinity for 4-AP (K1 = 12.3 mM).
First, we will examine Rayleigh flat fading channels, the simplest class of channels.
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