Least Squares Method Implementation for Binary Classification
MATLAB implementation of least squares method achieving accurate classification between two classes with detailed algorithm explanation and code structure
Professional MATLAB source code with comprehensive documentation and examples
MATLAB implementation of least squares method achieving accurate classification between two classes with detailed algorithm explanation and code structure
Implementation of Advanced PID Control Systems in Simulink Environment
This guide covers MATLAB implementations for unconstrained optimization methods including Steepest Descent, Newton's Method, Conjugate Gradient, Variable Metric Methods (DFP and BFGS), and Nonlinear Least Squares. For constrained optimization, it exp
The Kalman filter is a highly efficient recursive filter (autoregressive filter) capable of estimating the state of dynamic systems from a series of incomplete and noisy measurements. Named after its inventor Rudolf E. Kalman, this filtering method w
One challenge in applying statistical methods to pattern recognition is the dimensionality issue - classification problems are generally simpler in low-dimensional feature spaces than in high-dimensional ones. This leads to dimensionality reduction t
shapeletsurf.m: Reconstructs 3D surfaces from surface normal vectors using shapelet-based methods; frankotchellappa.m: Implements Frankot and Chellappa's integrability-enforcing algorithm for 3D surface reconstruction; grad2slanttilt.m: Computes slan
GPS Inertial Navigation Integration (2nd Edition) by Chen Jun [Program Source Code Included] – Essential resource with practical algorithm implementations for navigation system development
Edge Localization in Iris Recognition: Utilizes edge tracking to identify boundary points, followed by least squares circle fitting to obtain coordinate values, with accompanying illustration demonstrating implementation workflow.
Implementation of nsga2 algorithm for optimizing the ZDT2 benchmark function, demonstrating convergence to Pareto optimal front. Includes detailed code structure explanations and algorithm workflow analysis, providing essential learning material for
MATLAB-based moving target detection program designed for radar systems to extract targets from noise interference, featuring signal processing algorithms and clutter suppression techniques.
Maximum likelihood estimation-based independent component analysis algorithms with three implementations: stochastic gradient algorithm, relative gradient algorithm, and fast fixed-point algorithm, including detailed code implementation approaches an
Implementation of MSE calculation for least squares algorithm, minimum mean square error algorithm, and related approaches with MATLAB code examples
Implementation of Kalman filter software simulation method in MATLAB with clear and comprehensible code examples
Basic plotting operations including legend implementation, with focus on code-based visualization techniques
MATLAB code implementation for Lagrange interpolation with algorithm explanation and key function descriptions
MATLAB implementation of a simple Kalman filter-based tracking algorithm for mobile target tracking with code structure and parameter configuration details
A simple yet effective automatic exposure algorithm with impressive results, accompanied by performance demonstration images and code implementation insights.
Schroeder's delay-based feedback network reverberation algorithm, with this program providing a complete implementation that demonstrates the core structure and parameter controls.
Comprehensive Overview of DOA Estimation Algorithms and Implementation Approaches
MATLAB simulation source code for ROOT-MUSIC algorithm using root-finding approach, eliminating spectrum peak search and optimizing computational complexity through polynomial root solving techniques