Wavelet Denoising with Adaptive Filtering Implementation
This MATLAB-based program implements wavelet denoising combined with adaptive filtering techniques, thoroughly debugged and ready for signal processing applications.
Variable Step-Size LMS Adaptive Filtering Algorithm and Analysis
A Variable Step-Size LMS Adaptive Filtering Algorithm and Analysis, originally proposed by Gao Ying and Xie Changli in Acta Electronica Sinica. This article provides MATLAB source code files implementing the algorithm described in the paper for reference and study purposes.
Fast RLS Algorithm for Adaptive Filtering
Implementation of the fast recursive least squares (RLS) algorithm for adaptive filtering - developed after extensive research with practical applications in signal processing and communications.
Adaptive Filtering in MATLAB
Original MATLAB implementations of adaptive filtering algorithms, including comprehensive LMS and RLS algorithms with code examples.
Adaptive Inverse Control System Based on RLS Algorithm
Adaptive Filtering Implementation Using RLS (Recursive Least Squares) Algorithm with Code-Level Explanations
Interactive Multiple Model Adaptive Filtering Algorithm for Maneuvering Target Tracking
Programming code implementation for Interactive Multiple Model Adaptive Filtering Algorithm for maneuvering target tracking using single sensor azimuth and elevation angles
Implementation of a Variable Step-Size Normalized Least Mean Square Adaptive Filtering Algorithm
This article presents the implementation of a variable step-size normalized least mean square (VSS-NLMS) adaptive filtering algorithm, including core mathematical derivations and computational procedures for autocorrelation matrix estimation and filter coefficient updates.
Practical Kalman Filter Implementation Example with MATLAB Code
A MATLAB-based practical implementation example of Kalman adaptive filtering, featuring algorithm explanations and key function descriptions for effective learning
IRLS Algorithm - Iteratively Reweighted Least Squares Algorithm
IRLS (Iteratively Reweighted Least Squares) algorithm is a powerful optimization method applicable to compressed sensing and adaptive filtering systems.
LMS (Least Mean Square) Algorithm for Adaptive Filtering
Implementation of adaptive filtering using the LMS (Least Mean Square) algorithm with code-level insights