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The first link is a stationary memoryless travelling wave tube amplifier (TWTA), the second one is a nonstationary memoryless TWT amplifier while the third is an amplifier with memory modeled by a memoryless amplifier followed by a linear filter.
In this article, we furthermore propose a novel Equalization-based SA (ESA) structure, where the echo path is equalized by a linear filter to allow for an estimation of the loudspeaker nonlinearities by very small and efficient models.
If we let and approximate the channel by its equivalent discrete-time baseband model, where the transmit filter, channel and receiver filter are represented by a linear filter with impulse response.
In linear detectors, the equivalent received signal vector for the nth user class (mathbf {y}_{n} in mathbb {C}^{N_{t_{n}}times 1}) is processed by a linear filter to eliminate the channel effects [28].
Numerical simulations were designed to show the effectiveness and advantages of the proposed FSTPD over the classical PD structure supplied with the STA and a PDF with the derivative part obtained by a linear filter.
In the fourth article, "Significance-aware filtering for nonlinear acoustic echo cancellation," by C. Hofmann, C. Huemmer, M. Guenther, and W. Kellermann, the authors propose a novel equalization-based significance-aware structure, where the echo path is equalized by a linear filter to allow for an estimation of the loudspeaker nonlinearities by very small and efficient models.
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We aim to estimate the true concentrations of mRNAs and proteins by designing a linear filter such that, for all admissible uncertainties, nonlinearities, stochastic perturbations and time delays, the dynamics of the filtering error is guaranteed to be robustly asymptotically stable in the mean square sense while achieving the prescribed H∞ disturbance attenuation level.
We aim to estimate the true concentrations of mRNA and protein by designing a linear filter such that, for all admissible time delays, stochastic disturbances as well as polytopic uncertainties, the augmented state estimation dynamics is exponentially mean square stable with an expected decay rate.
3, we have seen how we can quantify with ΔΘ the angle resolution allowed by a linear filtering.
A starting point for many such analyses has been provided by phenomenological "linear nonlinear" (LN) models, which comprise a linear filter followed by a static nonlinear transformation.
Generating families of earthquake signals which in mean fulfill a given response spectrum can be done by filtering white noise through a linear filter and multiplying the filtered signal with a time-window function.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com