Soft Threshold Wavelet Denoising with Haar Wavelet - Implementation and Analysis

Soft threshold wavelet denoising using Haar wavelet.rar - Set the file directory as working directory, open wavlet.fig, input noise intensity (0-0.1, non-zero) in the noise prompt box, click process button to display experimental results including original image, noisy image, denoised image comparison and current PSNR value. wavlet.m contains the main program implementation with Haar wavelet transformation and soft thresholding algorithm.

Research on SVM-based Algorithms for Petroleum Exploration

This is a master's thesis titled "Research on SVM-based Algorithms for Petroleum Exploration" that implements the algorithm using MATLAB, providing detailed design approaches, comparative visualizations of different methods, and regional parameter adjustments. The implementation includes key SVM functions like data preprocessing, kernel selection, and hyperparameter optimization using MATLAB's Classification Learner app or custom scripts.