MATLAB Vector Median Filter Simulation Implementation (VMF)

The MATLAB Vector Median Filter (VMF) is a widely used signal processing technique that operates by sorting vectors within a signal window and selecting the median value as the filtered output, effectively achieving signal smoothing. This filter demonstrates strong performance in noise removal and signal denoising applications. Through MATLAB simulation implementation, users can comprehensively analyze and validate the filter's characteristics by modifying parameters such as window size and distance metrics. The implementation typically involves calculating vector distances using Euclidean or other norms, sorting vectors based on cumulative distances, and replacing the center vector with the median vector. Key functions like sortrows and distance calculation algorithms form the core of the VMF implementation. By adjusting filter parameters and thresholds according to specific signal characteristics, optimal filtering results can be achieved, making MATLAB VMF a powerful and flexible tool for multidimensional signal processing tasks.