In this article, the implementations of the Minimum Mean Squared Error (MMSE) and Blind method are studied with respect to their error performance. The main object of this article is a MMSE based adaptive approach, and on the other hand, a blind adaptive approach. The studies of both the schemes are done in a Multiuser detection environment. The multiuser detection environment model takes into account the receiver’s noise model and Multi-Access Interference (MAI) from other users. The first approach does not require any prior knowledge but calls for a training sequence. The second approach does not require any training sequence but requires exact knowledge of the signature sequences of the users and also takes longer to converge. The Bit Error Rates (BER) of both the approaches are given to compare the performance. The results show that Blind method outperforms MMSE at the edge of the cell for low SNRs and approaches similar to MMSE at high SNRs but suffers with a long time of convergence.