Explore MATLAB source code curated for "数据" with clean implementations, documentation, and examples.
Surface fitting implementation in MATLAB: input known data points to compute fitting coefficients, then use these coefficients to calculate Z-values at unknown X,Y coordinates through interpolation or extrapolation methods.
Load Data from txt Text Files and Automatically Generate Hysteresis Loop Plots with Color-Coded Cycling Periods
An offline identification procedure for T-S models that only requires data input to automatically identify both the center and consequent parameters, complete with error curve analysis for practical applications
A MATLAB-based clinical application for breast cancer detection utilizing machine learning algorithms, packaged with .names metadata files and .data training files containing over 200 annotated medical cases for model validation and performance analysis.
This code implements the least squares method by minimizing the sum of squared errors to find the optimal function fitting for data. The algorithm efficiently computes unknown parameters and ensures the minimal squared error between estimated values and actual observed data. Implementation typically involves matrix operations to solve normal equations or use gradient descent optimization techniques.
Comprehensive collection of commonly used seismic wave data including both shallow subsurface and deep geological layer measurements, with code implementation examples for signal processing and analysis techniques
Solving unit commitment problems using priority order method with 1024-node dataset, including data preprocessing and optimization evaluation
This program reads IMU data, calculates vehicle trajectory, velocity, and attitude, and plots velocity versus Euler angles using sensor fusion algorithms
MATLAB experiment using the polynomial y=x³-6x²+5x-3 to generate dataset (xi, yi, i=1,2,...,n), adding random noise to yi using rand (uniform distribution) or randn (normal distribution), then performing 3rd-degree polynomial fitting comparison with original coefficients. Includes analysis of 2nd and 4th-degree polynomial fitting results.
Importing S2P file data into MATLAB with the data format: freq x [S11 S21 S12 S22], including frequency points and S-parameter matrices for network analysis.