Enhanced Anti-Collision Algorithm Based on Slotted ALOHA
An efficient anti-collision improvement algorithm based on Slotted ALOHA with practical code implementation details for wireless sensor networks
Explore MATLAB source code curated for "效率" with clean implementations, documentation, and examples.
An efficient anti-collision improvement algorithm based on Slotted ALOHA with practical code implementation details for wireless sensor networks
Image denoising with 1D wavelet transform offers lower computational complexity, improved efficiency and faster processing speed through optimized algorithm implementation.
This project involved studying the physics of solar panels and implementing a simulation using MATLAB Simulink. The maximum peak power tracking (MPPT) algorithm was developed to control the system's duty ratio, optimizing efficiency. The simulation also analyzed the effects of irradiance and temperature variations on panel performance, with results aligning with theoretical expectations.
An accelerated image restoration algorithm using minimum variation methods that maintains restoration quality while significantly improving computational efficiency through optimized variational processing and iterative solvers.
The cubic spline algorithm demonstrates excellent performance in both image encoding and decoding operations, although its computational intensity reduces overall efficiency. We propose a fast algorithm that maintains quality while optimizing processing speed through improved interpolation calculations and boundary condition handling.
The Immune Genetic Algorithm searches for global optimal solutions with verified high efficiency and fast convergence properties, implementing evolutionary mechanisms through code-level operations like antibody cloning and mutation.
The KPCA algorithm for rapid face feature extraction demonstrates significantly improved efficiency compared to conventional PCA feature extraction methods
Heuristic search involves evaluating each position in the state space to identify the optimal position, then proceeding with the search from that point until the goal is reached. This approach significantly reduces unnecessary search paths and improves efficiency. In code implementation, heuristic functions typically involve priority queues to guide search direction while balancing exploration and exploitation.
A novel Maximum Power Point Tracking (MPPT) control simulation implemented using MATLAB, achieving up to 80% efficiency through advanced algorithm optimization and real-time performance monitoring.