Explore MATLAB source code curated for "陷波器" with clean implementations, documentation, and examples.
This MATLAB implementation package includes five key adaptive algorithms: LMS, adaptive notch filter, RLS adaptive algorithm, plus two additional algorithms for digital signal processing applications.
MATLAB implementation of a notch filter using the Least Mean Squares (LMS) algorithm, designed to effectively filter out specific sinusoidal signals with adaptive noise cancellation capabilities.
Conventional approaches for suppressing sinusoidal interference in broadband signals typically employ notch filters, which require precise knowledge of the interference frequency. However, when the sinusoidal interference frequency varies slowly and stringent frequency selectivity is required, adaptive noise cancellation methods become preferable. This article presents a solution using a second-order FIR LMS adaptive filter for sinusoidal interference elimination, with implementation details covering filter design and weight update algorithms.
MATLAB-based filter simulation with practical code implementation examples for digital signal processing applications
Adaptive simulation using MATLAB implementing notch filters, adaptive filters, and system identification algorithms for signal processing applications