Kernel Principal Component Analysis (KPCA) Algorithm Source Code Implementation
MATLAB source code implementation for Kernel Principal Component Analysis (KPCA) algorithm with kernel function integration and feature space transformation
Explore MATLAB source code curated for "算法源码" with clean implementations, documentation, and examples.
MATLAB source code implementation for Kernel Principal Component Analysis (KPCA) algorithm with kernel function integration and feature space transformation
Non-Negative Matrix Factorization (NMF) Implementation for Face Recognition with Functional Algorithm Source Code
Implementation of Zero-Forcing (ZF) and Minimum Mean-Square Error (MMSE) equalization algorithms for Orthogonal Frequency Division Multiplexing (OFDM) systems with detailed code structure and performance analysis.
This MATLAB-based implementation simulates the Ad Hoc On-Demand Distance Vector (AODV) routing protocol for wireless ad hoc networks. The simulation environment consists of 50 randomly distributed nodes within a 50m×50m area. Users can specify source and destination nodes, and the algorithm computes the shortest path (minimum hop count) between them. The implementation models direct communication ranges where nodes can reach neighboring nodes within their transmission radius in a single hop. Key features include route discovery, path maintenance, and neighbor detection mechanisms.