Traveling Salesman Problem Optimization Using Continuous Hopfield Neural Networks
Computational program for Traveling Salesman Problem optimization based on continuous Hopfield neural network implementation
Professional MATLAB source code with comprehensive documentation and examples
Computational program for Traveling Salesman Problem optimization based on continuous Hopfield neural network implementation
This source code implements strapdown inertial navigation algorithms including attitude calculation, position determination, and initial alignment procedures, featuring practical functionality and easy learning curve with comprehensive code documenta
Enhanced resampling procedure for particle filters that implements the resampling stage of Sequential Importance Resampling (SIR) with algorithmic improvements
Computation of Lyapunov exponents applicable to all chaotic systems, with implementation approaches and algorithm considerations
Predistortion algorithm simulation based on a memoryless power amplifier model. The implementation demonstrates significant performance improvements and includes executable code components.
MATLAB implementation of Bayesian and Bayesian compressive sensing algorithms with complete source code
Comprehensive source code for quantum information science applications and quantum evolutionary algorithms, including detailed implementations of quantum states, complete with extensive documentation and practical usage examples
MATLAB implementation of the classic financial mathematics algorithm for option pricing using binomial trees - developed during junior year to assist senior student's project
Implementation of the C-C Algorithm for Phase Space Reconstruction to Determine Embedding Dimension and Calculate Time Delay
The K-Nearest Neighbors (KNN) algorithm can be utilized for both classification and regression tasks. By identifying k nearest neighbors of a sample and assigning the average of their attributes to that sample, we can predict the sample's properties.
RBF learning methodologies encompassing: k-means clustering, gradient descent optimization, and OLS (Ordinary Least Squares) algorithms with practical implementation approaches.
Implementation of motion object detection algorithms including frame differencing, three-frame differencing, and Gaussian Mixture Model (GMM) with code-related descriptions
DMC Algorithm for Model Predictive Control with Practical Simulation Implementations and Code-Related Explanations
A detailed summary of the HOG algorithm including its introduction and code implementation explanations with key function descriptions
FDTD-based source code for photonic crystal calculations, implementing numerical simulation of light propagation through Maxwell's equations discretization
MATLAB source code implementation for RSSI-based positioning algorithm with comprehensive signal processing and distance calculation functions
This is a custom implementation of a run-length algorithm for connected component labeling, which efficiently identifies and labels connected regions in binary images through pixel traversal and region mapping.
Partial Least Squares (PLS) regression is widely applied across numerous domains. This package provides a comprehensive function implementing PLS regression using the Nonlinear Iterative Partial Least Squares (NIPALS) algorithm, accompanied by detail
Source code implementation of a two-target data association algorithm based on PDAF, highly practical for target tracking applications.
Feature energy extraction from surface EMG signals using wavelet packet local energy decomposition histogram visualization with MATLAB implementation approach