Main Program for Stochastic Power Flow Calculation Using Semi-Invariant Method
Main Program for Stochastic Power Flow Calculation Using Semi-Invariant Method - Verified and Compatible with Matpower
Explore MATLAB source code curated for "验证" with clean implementations, documentation, and examples.
Main Program for Stochastic Power Flow Calculation Using Semi-Invariant Method - Verified and Compatible with Matpower
MATLAB implementation of Itti's classical visual saliency model - ready-to-run code with complete validation available for download.
A self-developed MATLAB program implementing the savings algorithm for vehicle routing optimization, validated through practical case studies with confirmed feasibility and robustness.
The MFDFA method is employed to validate long-range correlations and multifractal characteristics in nonlinear time series, with implementation involving fluctuation function analysis and scaling exponent calculations.
Validated implementation of forward-backward sweep algorithm for distribution network power flow calculation with accurate results, including voltage, current, and power loss computations.
Generation of preferred pair m-sequences using the decimation method, production of corresponding Gold sequences, computation of autocorrelation and cross-correlation functions for Gold codes, and verification of Gold code quantities
Validated MATLAB data reading code with implementation details
A verified and practical MATLAB simulation model for three-level inverter using Space Vector PWM (SVPWM) technique, featuring comprehensive implementation with sector identification, voltage vector calculation, and switching sequence generation.
MATLAB implementation of the HE-AAC decoding algorithm with comprehensive test files for validation and performance verification
This is the most basic LSB (Least Significant Bit) algorithm for digital watermarking, featuring complete embedding and extraction functions with verified correct operation. Tested execution environment: MATLAB 6.5. The implementation demonstrates fundamental watermark hiding techniques using bit-level manipulation in grayscale images.