Calculating Extremes Using Gradient Descent Method
Gradient descent method for calculating extremes can only find local minima, but global minima can be achieved through step size adjustment strategies.
Explore MATLAB source code curated for "步长" with clean implementations, documentation, and examples.
Gradient descent method for calculating extremes can only find local minima, but global minima can be achieved through step size adjustment strategies.
Implementation of LMS (Least Mean Squares) and RLS (Recursive Least Squares) algorithms using MATLAB simulation software, including comparative analysis of convergence speeds, post-convergence bit error rate evaluation, and examination of step size impact on LMS algorithm's mean square error performance curves and forgetting factor influence on RLS algorithm performance characteristics. Code implementation covers adaptive filter structures, weight update mechanisms, and real-time performance monitoring.