The phrase "as a linear filter" is correct and usable in written English.
It can be used in contexts related to signal processing, systems theory, or any discussion involving filtering techniques.
Example: "The system can be analyzed as a linear filter to understand its response to various input signals."
Alternatives: "in the form of a linear filter" or "treated as a linear filter".
By modelling the underwater transducer as a linear filter and estimating its transfer function it is possible to derive the required time history of the input voltage for a given output spectrum.
The Kalman Filter was designed as a linear filter.
In this paper, the multipath channel is modeled as a linear filter with a time-variant impulse response, and different channels are independent with each other.
Their method monitors external driving signals such as lateral and longitudinal accelerations and speed and models aggressiveness as a linear filter operating on these signals [5].
Noise reduction is often formulated as a linear filtering problem in the frequency domain.
In the case that the random wind excitation with the Davenport power spectrum cannot be modelled as a linear filtering white noise, the dynamical programming equation is solved as an optimal regulation problem to obtain the semi-active optimal control force, on which the clipping treatment may be performed to ensure the control force implementable actually.
Reverberation is a phenomenon where delayed and attenuated versions of a signal are added to itself and typically modeled as a linear filtering of a signal in the time domain.
Wave force vector is then treated as output of a linear filter driven by white noise.
In parametric PSD estimation methods, the received signal samples are modeled as the output of a linear filter to white noise.
Taking the z-transform of Equation 7, the AR process can be depicted as the output of a linear filter with a transfer function driven by a zero-mean white noise.
The magnitude squared coherence function "measures the degree to which one process can be represented as the output of a linear filter operating on the other process" [10] and varies from 0--for two statistically independent processes--to 1, when one process is the result of linear filtering performed on the other.
