The problem of blind multiuser detection in dispersive channels of CDMA in the presence of both multiple-access interference (MAI) and intersymbol interference (ISI) is considered. By applying the theory of blind multiple-input multiple-output (MIMO) channel equalization, it is shown that under certain conditions the multiuser information symbols can be recovered without any prior knowledge of the channel or user's signature waveform, but the algorithmic complexity of such an approach is prohibitively high. These observations gave rise to a significant effort to develop suboptimal receiver as midway approach between low-performance matched-filter (MF) detector and optimum multiuser (MU) detector. The important characteristic of the newly proposed detector is the fact that by incorporating the desired user's signature waveform and the auxiliary vector that is parameterized with respect to only a single scalar parameter together with the spectral decomposition and channel estimation, the information of the user can be identified using the suboptimal subspace method. Therefore, blind MMSE can be carried out in a simple straightforward manner. The major content of this lecture is to propose a low-complexity minimum-mean-square-error (MMSE) detector with the suboptimal subspace-based blind technique for joint suppression of MAI and ISI in the dispersive.