LSTM-based Forecasting Model for Water Level Prediction
Implementation of LSTM deep learning approach for predicting water levels at monitoring stations with feature engineering considerations
MATLAB Implementation of Kalman Filter with Adaptive Capabilities
Adaptive Kalman Filter Program with MATLAB Code Implementation for State Estimation and Dynamic Parameter Adjustment
MATLAB Simulation Experiment for Compressed Sensing Radar Signal Processing
This MATLAB simulation experiment on compressed sensing radar signal processing provides comprehensive understanding of target scene modeling and echo signal processing, featuring practical code implementation demonstrations.
2D Wavelet Transform for Image Processing with Compression and Compressed Sensing Applications
Implementation of 2D wavelet transform for image compression and compressed sensing techniques, including frequency decomposition and bandwidth optimization strategies
UKF Algorithm and Its Simulation Implementation
This article provides a comprehensive introduction to the UKF algorithm and its simulation implementation, offering valuable insights for developers working with nonlinear filtering techniques.
MATLAB Simulation of Mean-Shift Moving Target Tracking
This MATLAB simulation program implements mean-shift moving target tracking, providing essential support for researchers studying tracking algorithms. The simulation includes key components such as target initialization, histogram calculation, mean-s
Finite Element Method for Solving ODEs with MATLAB Toolbox Implementation
MATLAB Finite Element Toolbox (Version 2.01) for solving ODEs (Ordinary Differential Equations), PDEs (Partial Differential Equations), and BVPs (Boundary Value Problems) across 1D, 2D, and multidimensional domains, featuring robust numerical discret
Initial Value Problems for Ordinary Differential Equations
MATLAB Algorithm Collection - Solving Initial Value Problems for ODEs with Implementation Examples
Implementation of Second-Order RC Circuit Charge-Discharge Model Using Kalman Filter
Design and simulation of battery charge-discharge modeling based on Kalman filter principles, implementing a second-order RC circuit charge-discharge model with state estimation and parameter tracking capabilities.
Well-Designed PCA Face Recognition System
A robust PCA face recognition program developed for graduation project with implementation insights
Circle Center Fitting Using Least Squares Estimation
Least squares estimation-based circle fitting algorithm for calculating circle center coordinates and radius with mathematical implementation approach
Kalman Filter Implementation in GPS Receivers - Tested and Beginner-Friendly
Kalman Filter implementation for GPS receivers, thoroughly tested with functional code! Ideal for beginners learning navigation algorithms and sensor fusion techniques.
Maximum Likelihood Estimation
Maximum Likelihood Estimation (MLE), also known as maximum probability estimation, is a theoretical point estimation method. Its fundamental principle is that after randomly drawing n sets of sample observations from a population model, the most reas
Firefly Algorithm: Comprehensive Programs, Resources, and Hybrid Implementations
Complete collection of firefly algorithm programs and resources, including diverse implementations, hybrid algorithms combining firefly and harmony search algorithms, and detailed code descriptions
Multi-Objective Particle Swarm Optimization Algorithm with Code Implementation
Multi-Objective Particle Swarm Optimization Algorithm Source Code with Implementation Details
Design and Implementation of a Simulation Platform for Aircraft Inertial Navigation Control Systems
Implementation Framework for an Aircraft Inertial Navigation Control System Design and Simulation Platform with Model-Based Development Support
Simulation Study of Kalman Filter
This research on Kalman filter simulation includes a custom-written technical paper along with detailed MATLAB program implementations, featuring comprehensive algorithm explanations and practical code demonstrations.
Two-Dimensional Kernel Density Estimation Algorithm with Optimal Bandwidth Computation
Implementation of two-dimensional kernel density estimation algorithm and optimization techniques for calculating optimal kernel bandwidth parameters
Two-Phase Linear Regression Model with Implementation Framework
A comprehensive overview of two-phase linear regression modeling approach for handling dataset errors and noise, including algorithmic structure and practical implementation considerations across multiple domains.
Nonlinear Filtering Algorithms Toolbox
Nonlinear Filtering Algorithms Toolbox featuring estimation algorithms including EKF (Extended Kalman Filter), UKF (Unscented Kalman Filter), PF (Particle Filter), PMF (Point Mass Filter), and ITKF (Iterated Kalman Filter).