Explore MATLAB source code curated for "计算" with clean implementations, documentation, and examples.
This program calculates the transmission characteristics of 2D photonic crystal waveguides specifically for transverse magnetic (TM) modes, featuring specialized numerical methods and visualization tools for comprehensive analysis.
Latest version of MATLAB M-file for calculating three-dimensional Hilbert-Huang Transform time-frequency representations with enhanced functionality
This computational program utilizes electromagnetic field source excitation techniques to analyze propagation characteristics - including propagation constants, confinement losses, and mode field distributions - in various photonic crystal waveguides such as photonic crystal fibers, metallic waveguides, and surface plasmon waveguides. The implementation typically involves solving Maxwell's equations using numerical methods like FDTD or FEM with dipole source excitation and eigenvalue solvers for mode analysis.
Implementation guide for computing information entropy and mutual information between discrete time series variables with probability distribution calculations and algorithmic steps
Time Domain Finite Difference Method (TD-FDM) source code for solving arbitrary transmission line problems with theoretical solution validation. Implementation details and usage instructions are provided in the timeUpdt.m program file.
MATLAB implementation of Finite-Difference Time-Domain (FDTD) method for computing bandgap properties of two-dimensional photonic crystals with detailed code structure and algorithm explanation
Computation of satellite subsatellite point trajectories using multiple coordinate system transformations
A well-established fluorescence lifetime calculation program designed for MATLAB environment, ready for immediate implementation with comprehensive data processing capabilities.
Implementation of the Newton-Raphson method to compute line contact isothermal elastohydrodynamic lubrication, with visualization of pressure distribution and film thickness profiles
MATLAB-based computational implementation and demonstration code for Principal Component Analysis algorithm with detailed programming approach