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MATLAB code for proportional navigation ideal trajectory simulation, providing differential equations of proportional navigation method. The implementation uses MATLAB programming language to conduct 3D data simulation of missile ideal trajectories, generates 3D ideal trajectory plots, and analyzes trajectory characteristics under varying missile and target parameters with computational approach explanations.

MATLAB 211 views Tagged

MATLAB program for implementing cellular automata (CA) - a computational model used to simulate local rules and interactions. This implementation defines CA on a grid structure where each cell represents a discrete entity with finite states. The core algorithm applies transition rules simultaneously to all cells based on their current state and the states of their neighboring cells (typically 4 or 8 neighbors). Cellular automata find applications in physics simulation, biological modeling, and complex system analysis.

MATLAB 247 views Tagged

Robust PCA, derived from low-rank matrix recovery problems by Wright et al. [13], has gained significant attention in recent years as one of the most popular RPCA methods. Low-rank matrix recovery aims to reconstruct original low-rank data from noisy observations - a concept analogous to PCA which identifies low-dimensional subspaces while treating deviations as noise. The core innovation lies in simultaneously requiring L0 to be low-rank while S0 must be sparse with arbitrarily large elements, enabling effective outlier handling through mathematical optimization. This implementation demonstrates how to separate corruptions (even extreme pixel noises) into sparse components using convex optimization techniques.

MATLAB 364 views Tagged