Much of the work done so far in the blind separation of real world audio signals has been centered around square mixtures, where N sensors are used to separate N sources. We have examined room impulse responses (and their inverses) and compared blind separation and deconvolution results from different filter configurations (using an MBLMS algorithm). The results reported in this work encourage us to extend these blind separation algorithms to handle the overdetermined case.