In this paper is discussed how to estimate irregularly sampled continuous-time ARMA models in the frequency domain. In the process, the model output signal is assumed to be piecewise constant or piecewise linear, and an approximation of the continuous-time Fourier transform is calculated. ML-estimation in the frequency domain is then used to obtain parameter estimates.