Explore MATLAB source code curated for "修正" with clean implementations, documentation, and examples.
This program simulates a robot navigating through obstacles in a virtual environment. While the current implementation has some limitations due to time constraints, readers can refine the collision detection algorithms and path planning strategies to improve its functionality.
A minimalist genetic algorithm source code originally developed by Denis Cormier (North Carolina State University) and revised by Sita S. Raghavan (University of North Carolina at Charlotte). The code is intentionally kept minimal and requires minimal error checking. For specific applications, users only need to modify constant definitions and implement the "fitness function".
The information entropy-based immune algorithm is a modified immune algorithm with a straightforward methodology that delivers strong performance for specific problem domains, featuring entropy calculation functions and enhanced antibody diversity management.
The Kalman filter algorithm corrects GPS receiver errors and reduces inaccuracies within a certain error range through recursive state estimation and sensor fusion techniques.
Previously uploaded version contained errors - now corrected and fully functional. This implementation features a rate 1/2 convolutional encoder with constraint length 6 and soft-decision Viterbi algorithm for optimal decoding performance.
Comprehensive guide to writing and applying high-pass filters, including instructions for adapting the code to your specific image file paths - users must modify the source image paths according to their local directory structure.
1. Corrected the simulation example in the original paper "Memory and Memoryless Composite H-infinity State Feedback Control for Linear Time-Delay Systems" where the original example had no solution according to Theorem 1. 2. Implemented simulation verification using MATLAB's LMI toolbox with enhanced code implementation details.