Explore MATLAB source code curated for "曲线拟合" with clean implementations, documentation, and examples.
MATLAB program for Weibull distribution curve fitting applicable to all data conforming to Weibull distribution. Based on rainflow counting algorithm, this program performs statistical analysis on randomly sampled data and implements linear fitting techniques.
MATLAB implementation source code for curve fitting based on Gaussian Mixture Model (GMM), featuring probability distribution modeling and customizable parameter optimization
Gaussian curve fitting and trend removal for analyzing general non-stationary sequences, including implementation approaches using MATLAB optimization functions and signal processing techniques.
Comprehensive guide to curve and surface fitting in MATLAB, accompanied by detailed theoretical documentation in Word format. Includes practical implementation using MATLAB's fitting functions, algorithm explanations, and step-by-step code examples for both beginners and advanced users.
Self-developed implementation of quadratic and cubic B-splines suitable for wavelet transformations and curve fitting applications. This code provides a foundational framework for beginners to study, modify, and extend with additional features for enhanced functionality.
A MATLAB curve fitting program shared with technical implementation details for data analysis and trend prediction
An introduction to MATLAB's powerful Curve Fitting Toolbox (CFTool), which provides convenient implementation for various linear and nonlinear curve fitting algorithms. This guide demonstrates practical usage with MATLAB R2007b, including code integration approaches and key function explanations for optimal fitting results.
A MATLAB program I developed for performing curve fitting, which implements common fitting algorithms like least squares methods for polynomial or custom function approximations. As a beginner, I'm sharing this to receive feedback and improve my programming skills.
MATLAB implementation of the Levenberg-Marquardt algorithm for nonlinear least squares curve fitting, including code examples and parameter optimization guidance.
Image processing integrated software developed using MATLAB. Core functionalities include: opening, displaying, and saving images (grayscale, RGB, etc.); histogram analysis and curve fitting; brightness distribution curves (blur processing); histogram equalization; Gaussian and median filtering techniques; edge detection algorithms (Sobel, Laplacian). This implementation leverages MATLAB's Image Processing Toolbox for efficient matrix operations and algorithm deployment.