MATLAB Implementation of Unscented Kalman Filter (UKF) for Target Tracking
A comprehensive UKF program implementation primarily applied to target tracking scenarios, featuring mathematical foundations and practical code demonstrations
MATLAB Implementation of Monte Carlo Algorithm with Code Examples
Explore MATLAB-based Monte Carlo algorithm implementation code featuring random sampling techniques, parameter optimization, and practical applications for complex system modeling.
Geophysical Gravity Exploration with Least Squares Method Applications
Implementation of gravity anomaly forward modeling and inversion using least squares method in geophysical exploration, featuring algorithm optimization and practical applications
Extended Kalman Filter
Extended Kalman Filter (EKF)
LS and MMSE Methods for Channel Estimation
Comparison of Two Channel Estimation Methods with MSE and SER Performance Analysis Including Code Implementation Insights
LQR Algorithm Simulation and MATLAB Source Code for Double Inverted Pendulum
Simulation of LQR Algorithm and MATLAB Source Code for Googol Technology's Double Inverted Pendulum System with Implementation Details
Point Cloud Data Matching and Processing
Point cloud data matching processing, with ICP algorithm as the classic method offering good accuracy and reliability - demonstrating iterative closest point implementation and transformation matrix optimization.
Particle Filter Tracking Algorithm Demonstration Program
This program demonstrates the particle filter tracking algorithm, which is suitable for tracking and estimation under nonlinear and non-Gaussian conditions. This expert-level implementation showcases the core concepts of PF tracking, featuring probab
Kernel Principal Component Analysis (KPCA) Method for Multidimensional Quality Assessment
To address PCA's limitation in processing nonlinear data for comprehensive multi-index analysis, we implemented the Kernel Principal Component Analysis (KPCA) method with Gaussian kernel to evaluate the quality characteristics of 16 distinct fermente
Optical Flow-Based Robot Navigation and Obstacle Avoidance Algorithm
This article presents an optical flow-based robot navigation and obstacle avoidance algorithm, implemented and validated through simulation on a virtual robotic platform with detailed code implementation insights.
Adaptive Noise Cancellation Algorithm Implementation in MATLAB
MATLAB implementation of adaptive noise cancellation algorithm with detailed code explanations and practical applications
Implementation of AR Model Spectrum Estimation Using AR Spectrum Estimation Algorithm in MATLAB Environment
Implementation of AR model spectrum estimation using AR spectrum estimation algorithm in MATLAB with theoretical background and code implementation details
Implementation of EKF, IEKF, and UKF Algorithms in MATLAB
MATLAB implementation of Extended Kalman Filter (EKF), Iterated Extended Kalman Filter (IEKF), and Unscented Kalman Filter (UKF) algorithms for state estimation
Traffic Prediction using BP Neural Network Algorithm
Traffic prediction program implemented with BP algorithm, including dataset and full source code. The program is ready-to-run with straightforward execution process.
BeiDou Four-Satellite Positioning
Utilizing telemetry data from four BeiDou satellites to determine receiver coordinates and convert them into latitude and longitude
Markov Random Field Denoising Examples with Kernel PCA
Image Denoising Using Markov Random Fields and Kernel Principal Component Analysis
DOA Estimation for Coherent Signals Using Spatial Smoothing Algorithm
Implementation of spatial smoothing algorithm for coherent signal DOA estimation, along with enhanced variants based on covariance matrix decomposition and sparsity utilization - suitable for experimental applications
Improved Particle Filter Algorithm Utilizing Sonar Information
This enhanced particle filter algorithm leverages sonar data and partial environmental information to achieve robot self-localization. The implementation includes optimized particle weighting functions and systematic resampling techniques to improve
Inverse Kinematics Solution for Robotic Systems
This program implements inverse kinematics computation for a two-degree-of-freedom robotic arm, establishing kinematic equations through Lagrangian energy methods to calculate joint angles from torque inputs, complete with numerical implementation ap
Vibration Testing on Gearbox Systems
Conduct vibration testing on gearbox systems to obtain vibration data, then process the data using advanced algorithms to generate stability diagrams through signal processing techniques