or first-order hold (FOH) devices, independently of the nature of the true signals [@garnier2004time]. For inputs that can be described exactly with these reconstruction schemes, the SRIVC estimator has recently been shown to be generically consistent [@pan2020consistency]. However, when the intersample behaviour assumption on the model input does not match that of the system input, continuous-time estimation methods can deliver large estimation errors if the sampling period is large [@schoukens1994identification], and in particular, the SRIVC estimator is known to be generically inconsistent in this case. Important input signals for identification that cannot be described by holds are band limited signals such as multisines. These signals are advantageous due to their flexibility regarding power spectrum design, time domain averaging possibilities, simplification of the model validation step and finite sample estimation performance [@schoukens1994advantages]. For these input signals, the complete CT input signal is known to the practitioner, but the SRIVC procedure only performs simple interpolations of the input, which impact its consistency regardless of the sampling period.

In summary, in this paper,

-   we present a refinement of the SRIVC method that is shown to yield generic consistency of the estimated model parameters for CT multisine input signal excitations;

-   we prove 