  Microwave photonic (MWP) signal processors, which process microwave signals
based on pho-tonic technologies, bring advantages intrinsic to photonics such
as low loss, large processing bandwidth, and strong immunity to electromagnetic
interference. Optical microcombs can offer a large number of wavelength
channels and compact device footprints, which make them powerful
multi-wavelength sources for MWP signal processors to realize a variety of
processing functions. In this paper, we experimentally demonstrate the
capability of microcomb-based MWP signal processors to handle diverse input
signal waveforms. In addition, we quantify the processing accuracy for
different input signal waveforms, including Gaussian, triangle, parabolic,
super Gaussian, and nearly square waveforms. Finally, we analyze the factors
contributing to the dif-ference in the processing accuracy among the different
input waveforms, and our theoretical analysis well elucidates the experimental
results. These results provide a guidance for micro-comb-based MWP signal
processors when processing microwave signals of various waveforms.
