Face Recognition Test Source Code Implementation
Comprehensive face recognition testing source code with algorithm explanations and implementation details
Effective Model Reference Adaptive Speed Estimation Model
A well-tested practical model for adaptive speed estimation, implementing model reference adaptive control theory with robust performance in various applications.
Reading and Processing SEG2 Format Data
Implementation of SEG2 format data reader with custom-developed code, fully tested and verified for accuracy by author wnc
Implementation of Generalized Gaussian Distribution (GGD) Model
This MATLAB source code implements and tests a Generalized Gaussian Distribution (GGD) model, featuring parameter estimation algorithms and statistical validation methods.
Memetic Algorithm: An Efficient Computational Method for Cultural Evolution
The memetic algorithm is an efficient computational method for cultural evolution. This demonstration uses the Rosenbrock function as an example, but you can also incorporate other test functions to evaluate its performance.
Handwritten Digit Classification Using Convolutional Neural Networks
Implementation of handwritten digit classification with a convolutional neural network, comprising three core modules: network initialization, training, and testing phases with detailed code-level execution workflows
Naive Bayes Classification Practice Exercise
A Naive Bayes classification exercise tested on the breast cancer dataset from the UCI Machine Learning Repository
Dynamic Environment Optimization Algorithm Based on Dynamic Particle Swarm Optimization
This thoroughly commented and tested implementation provides a ready-to-use solution with detailed explanations of key functions, algorithm parameters, and modification guidelines for different scenarios.
OFDM System Simulation with Complete Transmitter and Receiver Implementation
Simulation of Orthogonal Frequency Division Multiplexing (OFDM) process including functional transmitter and receiver modules with comprehensive test capabilities
HMM-GMM Implementation
Meticulously revised and tested code implementation for HMM-GMM that is fully operational, featuring comprehensive comments and explanations ideal for beginners studying Hidden Markov Models with Gaussian Mixture Models.