Broadband wireless systems require low complexity equalizers which can cope with long channel impulse responses and severe intersymbol interference (ISI). In this paper, a frequency domain (FD) approach for adaptive blind equalization for multiple-input multiple-output (MIMO) communication systems is proposed. As an initial step, a time domain (TD) block based updated adaptation is first developed which updates the equalizer coefficients once per each block of data symbols. As such, this algorithm can be equivalently implemented in the FD to reduce computational complexity associated with the symbol by symbol TD update. Simulation results show that the proposed algorithms can successfully separate and equalize the received signals with a significantly lower computational complexity than a corresponding TD approach.