Professional MATLAB source code with comprehensive documentation and examples
Implementation of current statistical model maneuvering target tracking algorithm. This program performs simulation tracking of the X-direction movement for a maneuvering target executing circular motion, featuring adaptable filtering techniques for
MATLAB implementation of Partial Least Squares Regression modeling analysis - a contemporary statistical analysis approach offering significant advantages over traditional methods, featuring dimensionality reduction and multicollinearity handling cap
MATLAB-based license plate localization algorithm utilizing color segmentation techniques, providing valuable insights for researchers in computer vision and image processing fields with practical code implementation details.
The Newton-Raphson algorithm serves as a fundamental computational procedure for solving nonlinear equation systems and finite element analysis, making it an essential algorithm for engineering professionals requiring numerical solution techniques.
Least Squares (LS) simulation using 6 reference nodes to locate a target node, applying RSSI-to-distance conversion formula to calculate distances with code implementation insights.
A MATLAB-implemented program for computing element stiffness matrices of 3D beam elements in finite element analysis, featuring 6 degrees of freedom per node, with implementation of Euler-Bernoulli beam theory and coordinate transformation algorithms
Kalman Filter Tracking Algorithm Implementation with MATLAB Code
MATLAB System Identification Algorithm Featuring Automated Input and Output Function Generation for Streamlined Automatic Recognition
Enhancing node localization accuracy and increasing coverage rate through DV-Hop algorithm improvements, with technical implementation strategies for wireless sensor network deployments.
MVP, an improved weighted subspace fitting (WSF) algorithm, designed for direction of arrival (DOA) estimation with enhanced noise robustness and computational efficiency.
This implementation demonstrates AR model coefficient prediction enhanced by Kalman filtering algorithm, featuring real-time coefficient updates that significantly improve prediction accuracy through recursive state estimation and measurement updates
MATLAB implementation approaches for radar moving target detection using two signal processing methods: FFT-based frequency analysis and FIR filtering techniques
During spectral data acquisition, environmental factors such as lighting and temperature can introduce noise into the spectral data. Multivariate Scattering Correction (MSC) effectively eliminates data noise caused by scattering effects during the co
Implementation of edge detection and region growing based image segmentation for grayscale or RGB images with algorithm explanations
A concise and effective watershed algorithm implementation in MATLAB featuring clean, readable code for image segmentation tasks
Incoherent Subspace Method Source Code (CSM) - A Broadband Focusing Matrix Algorithm Implementation
This MATLAB-based program implements circle fitting using the least squares method for optimal accuracy.
Research on passive localization algorithms using Kalman filter implementation in MATLAB with code examples and technical analysis
Implementation of Particle Filter Algorithm in Robot Localization with Complete Source Code and Technical Documentation
Graduate-level modern signal processing assignment involving MATLAB implementations of Kalman and Wiener filters, including filter design, state-space modeling, and practical signal analysis techniques.