Adaptive Equalizer Based on Minimum Mean Square Error Algorithm

This documentation presents a MATLAB program implementing an adaptive equalizer based on the Minimum Mean Square Error (MMSE) algorithm. The program can be readily deployed in digital communication systems. Adaptive equalization represents a crucial signal processing technique that helps combat signal distortion and interference during transmission. By employing the MMSE algorithm, the equalizer automatically adjusts its filter coefficients through iterative updates using gradient descent methods to minimize the error between input signals and desired output signals. The algorithm implementation typically involves key MATLAB functions like filter() for convolution and mean() for error calculation, enhancing digital communication system performance by achieving more reliable and stable signal reception. This MATLAB program serves as both an educational tool for understanding adaptive equalization principles and a practical implementation framework for real-world applications.