MATLAB Implementation of S-Transform for Seismic Data Processing

The S-Transform program implemented in MATLAB provides a powerful tool for seismic data processing applications. This implementation utilizes MATLAB's signal processing toolbox to perform time-frequency analysis through a variable window size approach, allowing optimal resolution across different frequency components. Key algorithmic features include: - Implementation of the S-Transform algorithm using Fourier transforms with Gaussian window functions - Adaptive time-frequency localization capabilities for analyzing non-stationary seismic signals - Matrix-based operations for efficient computation of time-frequency representations The program can be applied to various seismic data processing tasks: - Frequency content analysis through spectrogram generation - Signal denoising using thresholding techniques in the time-frequency domain - Signal-to-noise ratio enhancement via selective coefficient manipulation - Feature extraction from seismic reflection data using pattern recognition in transform domain - Ground motion analysis from accelerometer recordings with time-frequency decomposition The code structure typically includes main functions for: 1. Data preprocessing and normalization 2. S-Transform core computation using FFT-based implementation 3. Visualization routines for time-frequency plots 4. Post-processing modules for specific applications This MATLAB implementation offers researchers and geophysics professionals an efficient platform for advanced seismic signal analysis, with modular code design allowing customization for specific processing requirements. The program's vectorized operations ensure computational efficiency when handling large seismic datasets.