Adaptive Filter Implementation with Combined LMS Algorithms

This source code combines the LMS algorithms of transversal adaptive filters and lattice adaptive filters to enhance weight coefficient tracking performance. While transversal and lattice adaptive filters employ distinct adaptive filtering approaches, each has inherent limitations. By integrating both algorithms, this implementation mitigates their individual shortcomings through algorithmic fusion, achieving superior tracking of weight coefficients. Key features include: - Implementation of transversal adaptive filters using gradient-based LMS weight updates - Lattice filter structure with reflection coefficient adaptation via LMS - Side-by-side performance comparison through shared input signals and metrics - Real-time visualization of convergence behavior and stability The processed results demonstrate significantly improved weight tracking compared to standalone implementations. These enhancements are evident in practical applications, contributing to higher system performance and operational efficiency.