General Algorithm

Total 5601 resources

MATLAB simulation source code for model identification, featuring implementations of least squares modeling and maximum likelihood estimation modeling methods. Each key code example includes detailed explanations and algorithm descriptions.

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Toolboxes for EKF, UKF, and other filtering algorithms - highly practical and suitable for beginners, intermediate, and advanced users, featuring comprehensive function libraries and configurable parameters for robust implementation.

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MATLAB implementation for solving the L1-regularized least squares problem: min lambda*||x||_1 + ||A*x - y||_2, where ||x||_1 denotes the L1-norm and ||*||_2 represents the L2-norm. This algorithm is widely used in sparse component analysis, compress

MATLAB 202 views Premium