MATLAB Code Implementation of MMSE Receivers

In this documentation, we present a MATLAB program named "mmse" designed for receiver implementation. While the core principles are not exhaustively detailed here, we provide supplementary context to clarify its functionality and advantages. MMSE (Minimum Mean Square Error) is a multi-user detection technique employed to accurately detect and separate signals when multiple users transmit simultaneously. Key benefits include computational efficiency, scalability, and adaptability to varying channel conditions. The algorithm minimizes signal interference and noise, thereby enhancing received signal quality. From an implementation perspective, the MATLAB code typically involves matrix operations for covariance estimation and Wiener filter computation, utilizing built-in functions like inv() for matrix inversion and proper handling of signal-to-noise ratios. This example serves as a valuable reference for developing robust communication systems, particularly in scenarios involving interference mitigation and optimal signal recovery.