Signal Transmission Through Noisy Channel with Equalization Algorithms

1. Original signal A is transmitted through a noise-contaminated channel to obtain signal q, which is then processed through ZF (Zero Forcing) and MMSE (Minimum Mean Square Error) equalizers to generate signal U with distribution plotting capabilities. 2. Implementation of LMS (Least Mean Squares), SATO (Sato's algorithm), and CMA (Constant Modulus Algorithm) to derive signal U, incorporating optimal delay calculation and mean square error computation. All results are visualized through graphical representations with MATLAB implementation examples.