Hurst Exponent Calculation
MATLAB Program for Computing Hurst Exponent with R/S Analysis Method
Explore MATLAB source code curated for "计算程序" with clean implementations, documentation, and examples.
MATLAB Program for Computing Hurst Exponent with R/S Analysis Method
MATLAB program for LQR control calculation of a linear first-order inverted pendulum, validated for accuracy and algorithm implementation.
This implementation of Probabilistic Principal Component Analysis (PPCA) includes comprehensive internal documentation and explanatory notes. The algorithm represents a classic approach to dimensionality reduction and serves as an excellent reference for statistical modeling implementations.
A computational program for calculating Mie scattering theory coefficients (an, bn, cn, dn) which form the core of Mie scattering theory. The program is implemented as modular functions that can be individually called within larger programs, providing enhanced usability and integration capabilities.
A MATLAB program implementing bisection method algorithm to compute the effective refractive index of optical fiber core fundamental mode, featuring numerical convergence with error tolerance control.
A comprehensive MATLAB implementation for computing the radar cross section of metallic spheres, featuring textbook-standard RCS curve calculations with enhanced code explanations and algorithm descriptions.
Complete MATLAB source code implementation for Radial Basis Function Neural Network (RBFNN) model computation
A face recognition program implementing LBP feature calculation - providing simple yet effective statistical histogram features with practical implementation guidelines for feature extraction and analysis.
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.
A MATLAB computational program for one-dimensional Moving Least Squares (MLS) method, designed for advanced curve fitting applications with configurable smoothing parameters