Modified Random Subspace Algorithm Implementation
Verified modified version of the random subspace algorithm downloaded from online sources, ensuring immediate usability and reliability
Modal Identification Using Random Subspace Method in MATLAB
MATLAB's Random Subspace Method can be effectively applied for modal identification, featuring algorithms that perform stochastic sampling of the system's feature space to extract vibration characteristics.
MATLAB Implementation of Stochastic Subspace Method
Main program code for stochastic subspace method in MATLAB, enabling high-precision signal identification. Developed based on "Dielectric Loss Angle Measurement Method Using Stochastic Subspace and Least Squares" and Dr. Chang Jun's dissertation "Application Research of Stochastic Subspace Method in Bridge Modal Parameter Identification". The implementation includes algorithms for system identification and modal analysis.
Modal Parameter Identification Using Stochastic Subspace Method
Modal parameter identification using the stochastic subspace method with MATLAB program implementation