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On 20 24 LT the SRS evolves and intensifies, whereas multi-impulse structure has become evident.
On 19 20 LT a weak indication on SRS occurrence has emerged, and, simultaneously, a 2-impulse structure has started to be formed.
Fig. 8 Q-D channel model channel impulse response structure.
In such applications, the signal propagation channel may have a relatively low-dimensional impulse response structure, that is, the number m of active or significant taps within the (discrete-time modelled) channel impulse response is much less than the overall tap length n of the channel impulse response.
Previous studies have explored the saturated impulse for structures under rectangular pressure pulse loading.
In this paper, we propose a new nonlinear filter with a finite impulse response (FIR) structure based on the T S fuzzy model.
Among smoothers with the deadbeat property and finite impulse response (FIR) structure, a minimax FIR smoother (MFS) is obtained to optimize the proposed performance criterion.
To overcome the resulting problems of existing finite impulse response (FIR) structure filters, this paper proposes an alternative FIR filter for state estimation in discrete-time systems, which is derived from the well-known Kalman filter with recursive infinite impulse response (IIR) structure.
To solve such problems, filtering is usually organized employing the finite impulse response (FIR) structures.
The impulses reach the structure at random points on the surface and at random time intervals.
Experimental tests have shown that semi-active vibration absorbers are suitable for controlling the impulse response of structures.
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