Comparative Methods for Wavelet Domain Matrix Weighting, Scalar Weighting, and Modified Weighting

This study provides a comparative analysis of wavelet domain matrix weighting, scalar weighting, and modified weighting methods, incorporating techniques such as wavelet decomposition, Kalman filtering, and information fusion. The methodology includes MATLAB-based implementations for multi-level wavelet decomposition using functions like wavedec, Kalman filter initialization with process and measurement noise parameters, and weighted fusion algorithms employing matrix operations. This research has been published in an IEEE journal.