Explore MATLAB source code curated for "贪婪算法" with clean implementations, documentation, and examples.
This routing simulation program employs a combination of greedy algorithms and the right-hand rule for navigation, featuring parameter-adjustable implementations and visual demonstrations for educational purposes.
MATLAB Greedy Algorithm: Theory, Implementation, and Practical Applications with Code Examples
This implementation includes file I/O functions for reading data from txt files, self-coded solution suitable for beginners with step-by-step algorithm explanation
This content focuses on greedy algorithms for compressed sensing, specifically using Orthogonal Matching Pursuit (OMP) for Direction of Arrival (DOA) estimation, primarily applied in array signal processing applications.
Fast and efficient signal reconstruction algorithms with reliable performance form the core component of compressive sensing theory, an area where numerous impactful research initiatives are currently underway. Since the introduction of compressive sensing theory, various sparse signal reconstruction algorithms have emerged, primarily categorized into three types: greedy algorithms, convex relaxation algorithms, and combinatorial algorithms. The focus here is on the Subspace Pursuit (SP) algorithm, which operates by iteratively selecting the most correlated atoms from the measurement matrix and refining the support set through orthogonal projection operations.
MATLAB program implementation using greedy algorithm to solve the knapsack problem with detailed code explanations and performance analysis
This MATLAB implementation of the Greedy Matching Pursuit (MP) algorithm is designed for channel estimation and related signal processing applications in wireless communications.
Implementing greedy algorithm-based subcarrier and power allocation in OFDM systems to minimize transmit power while maintaining a specified bit error rate, with code-level optimization strategies
MATLAB simulation and comparative analysis of greedy algorithms for compressed sensing including Least Squares Matching Pursuit (LS-MP), Orthogonal Matching Pursuit (OMP), Weak Matching Pursuit (WMP), and Hard Thresholding algorithms with implementation details and performance metrics.
This collection contains MATLAB source code and relevant documentation for implementing Floyd's algorithm, Dijkstra's algorithm, greedy algorithms, genetic algorithms, search algorithms, ant colony optimization, and Hamiltonian cycle solutions. Each implementation includes code structure explanations and practical application examples.