The ISI and ICI due to the frequency selectivity are computed using a linear time-invariant (LTI) channel.
Third, new semi-analytical solutions for both step-up and step-down responses have been successfully constructed by using a linear time-varying system formulation that incorporates time-varying compliance.
First of all, with a local-level control strategy, we show that the consensus is reached by only using a linear time-invariant compensator if the network changes sufficiently fast in time and the compensator is designed so that the multi-agent system achieves the consensus for the average of the communication network.
Cowan (1988) deliberately bases his model on parallel information processing instead of using a linear time-sequence-based approach.
Per patient, the CRPAUC was defined as the sum of the 30 estimated CRP values, resulting from a piecewise linear mixed model which uses a linear time component for day 1 10 and a cubic time component for day 11 30.
However, such algorithms typically use a linear time to sample a single base pair (see, e.g., [ 6]) such that the time to sample a complete structure is quadratic in its length.
The first approach uses a Linear Time-Invariant (LTI) approximation.
This work uses a linear-time algorithm for finding paths in a network under modified biologically motivated constraints.
In such systems, space-time transmission is typically implemented using a linear space-time matrix, or equivalently a linear precoder, so that a single modulation symbol is efficiently transmitted across multiple transmit antennas.
Individual assessment of the fractional acetate recovery with an acetate tracer was not possible in the present study due to its complex design, but we found from our previous studies [4], [8] that this factor can be estimated using a linear function of time of tracer infusion (y = 0.0563+0.001359t, R2 = 0.99, where t is duration of tracer infusion in minutes).
