Explore MATLAB source code curated for "计算" with clean implementations, documentation, and examples.
Calculation of electromagnetic fields for wire antennas using the Method of Moments (implemented with MATLAB programming), including algorithm implementation and key function explanations
Sharing MATLAB programs for calculating fractal parameters in images, including algorithm implementation and key function descriptions
This methodology employs power spectrum approach combined with AR linear filtering to generate pulsating wind speed time histories, suitable for calculating structural wind loads. The implementation involves spectral decomposition and autoregressive modeling to simulate realistic wind fluctuations.
MATLAB source code implementation for calculating clustering coefficients in complex networks, featuring algorithm optimization and network analysis capabilities
MATLAB implementation of Principal Component Analysis (PCA) for TE data detection, featuring SPE statistic computation along with SPE and T-squared control limit calculations using built-in statistical functions and matrix operations.
Fourier decomposition is employed to compute the RMS value and phase angle of the fundamental wave, as well as the RMS values and phase angles of various harmonics, with code implementation details for spectral analysis
Implementation of Newton-Raphson power flow algorithm for IEEE-6 bus system using a generalized computational approach, featuring practical applications for power system analysis.
A MATLAB-based simulation program for calculating and analyzing bottom-fed microstrip patch antennas, featuring customizable parameters and visualization tools for antenna performance evaluation.
This toolkit primarily calculates musical beats while also providing additional functionality for computing music signal energy and fundamental frequency analysis, implementing digital signal processing algorithms for audio feature extraction.
A comprehensive program for computing power spectrum density from time-domain signals, featuring efficient Fast Fourier Transform (FFT) algorithms and spectral estimation techniques.