Simulation of Adaptive Active Noise Control Using FLMS Algorithm
Adaptive Active Noise Control FLMS Algorithm Simulation Program, including main simulation modules with MATLAB/Python implementation and visualization of final results
Application of Adaptive Filters for Channel Equalization, Echo Cancellation, and Active Noise Control
Implementation of channel equalization, echo cancellation, and noise attenuation through active noise control using adaptive filtering techniques, with algorithm and code-related insights.
Active Noise Control (ANC) Primarily Based on LMS Algorithm with Wavelet Transform Enhancement
Active Noise Control (ANC) predominantly utilizes the LMS algorithm; however, its effectiveness diminishes when processing broadband noise signals under low signal-to-noise ratio conditions. The primary factor affecting control performance is the autocorrelation distribution of input signals. Wavelet transform effectively eliminates signal autocorrelation, making its integration into ANC systems a viable solution for these challenges. Implementations typically involve modifying the standard LMS structure by incorporating wavelet decomposition for preprocessing input signals before adaptive filtering.